%%
%% %CopyrightBegin%
%%
%% Copyright Ericsson AB 2018. All Rights Reserved.
%%
%% Licensed under the Apache License, Version 2.0 (the "License");
%% you may not use this file except in compliance with the License.
%% You may obtain a copy of the License at
%%
%% http://www.apache.org/licenses/LICENSE-2.0
%%
%% Unless required by applicable law or agreed to in writing, software
%% distributed under the License is distributed on an "AS IS" BASIS,
%% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
%% See the License for the specific language governing permissions and
%% limitations under the License.
%%
%% %CopyrightEnd%
%%
%%%
%%% This is a collection of various optimizations that don't need a separate
%%% pass by themselves and/or are mutually beneficial to other passes.
%%%
%%% The optimizations are applied in "phases," each with a list of sub-passes
%%% to run. These sub-passes are applied on all functions in a module before
%%% moving on to the next phase, which lets us gather module-level information
%%% in one phase and then apply it in the next without having to risk working
%%% with incomplete information.
%%%
%%% Each sub-pass operates on a #st{} record and a func_info_db(), where the
%%% former is just a #b_function{} whose blocks can be represented either in
%%% linear or map form, and the latter is a map with information about all
%%% functions in the module (see beam_ssa_opt.hrl for more details).
%%%
-module(beam_ssa_opt).
-export([module/2]).
-include("beam_ssa_opt.hrl").
-import(lists, [all/2,append/1,duplicate/2,foldl/3,keyfind/3,member/2,
reverse/1,reverse/2,
splitwith/2,sort/1,takewhile/2,unzip/1]).
-define(DEFAULT_REPETITIONS, 2).
-spec module(beam_ssa:b_module(), [compile:option()]) ->
{'ok',beam_ssa:b_module()}.
-record(st, {ssa :: [{beam_ssa:label(),beam_ssa:b_blk()}] |
beam_ssa:block_map(),
args :: [beam_ssa:b_var()],
cnt :: beam_ssa:label(),
anno :: beam_ssa:anno()}).
-type st_map() :: #{ func_id() => #st{} }.
module(Module, Opts) ->
FuncDb0 = case proplists:get_value(no_module_opt, Opts, false) of
false -> build_func_db(Module);
true -> #{}
end,
%% Passes that perform module-level optimizations are often aided by
%% optimizing callers before callees and vice versa, so we optimize all
%% functions in call order, flipping it as required.
StMap0 = build_st_map(Module),
Order = get_call_order_po(StMap0, FuncDb0),
Phases =
[{Order, prologue_passes(Opts)}] ++
repeat(Opts, repeated_passes(Opts), Order) ++
[{Order, epilogue_passes(Opts)}],
{StMap, _FuncDb} = foldl(fun({FuncIds, Ps}, {StMap, FuncDb}) ->
phase(FuncIds, Ps, StMap, FuncDb)
end, {StMap0, FuncDb0}, Phases),
{ok, finish(Module, StMap)}.
phase([FuncId | Ids], Ps, StMap, FuncDb0) ->
try compile:run_sub_passes(Ps, {map_get(FuncId, StMap), FuncDb0}) of
{St, FuncDb} ->
phase(Ids, Ps, StMap#{ FuncId => St }, FuncDb)
catch
Class:Error:Stack ->
#b_local{name=#b_literal{val=Name},arity=Arity} = FuncId,
io:fwrite("Function: ~w/~w\n", [Name,Arity]),
erlang:raise(Class, Error, Stack)
end;
phase([], _Ps, StMap, FuncDb) ->
{StMap, FuncDb}.
%% Repeats the given passes, alternating the order between runs to make the
%% type pass more efficient.
repeat(Opts, Ps, OrderA) ->
Repeat = proplists:get_value(ssa_opt_repeat, Opts, ?DEFAULT_REPETITIONS),
OrderB = reverse(OrderA),
repeat_1(Repeat, Ps, OrderA, OrderB).
repeat_1(0, _Opts, _OrderA, _OrderB) ->
[];
repeat_1(N, Ps, OrderA, OrderB) when N > 0, N rem 2 =:= 0 ->
[{OrderA, Ps} | repeat_1(N - 1, Ps, OrderA, OrderB)];
repeat_1(N, Ps, OrderA, OrderB) when N > 0, N rem 2 =:= 1 ->
[{OrderB, Ps} | repeat_1(N - 1, Ps, OrderA, OrderB)].
%%
get_func_id(F) ->
{_Mod, Name, Arity} = beam_ssa:get_anno(func_info, F),
#b_local{name=#b_literal{val=Name}, arity=Arity}.
-spec build_st_map(#b_module{}) -> st_map().
build_st_map(#b_module{body=Fs}) ->
build_st_map_1(Fs, #{}).
build_st_map_1([F | Fs], Map) ->
#b_function{anno=Anno,args=Args,cnt=Counter,bs=Bs} = F,
St = #st{anno=Anno,args=Args,cnt=Counter,ssa=Bs},
build_st_map_1(Fs, Map#{ get_func_id(F) => St });
build_st_map_1([], Map) ->
Map.
-spec finish(#b_module{}, st_map()) -> #b_module{}.
finish(#b_module{body=Fs0}=Module, StMap) ->
Module#b_module{body=finish_1(Fs0, StMap)}.
finish_1([F0 | Fs], StMap) ->
#st{anno=Anno,cnt=Counter,ssa=Blocks} = map_get(get_func_id(F0), StMap),
F = F0#b_function{anno=Anno,bs=Blocks,cnt=Counter},
[F | finish_1(Fs, StMap)];
finish_1([], _StMap) ->
[].
%%
-define(PASS(N), {N,fun N/1}).
prologue_passes(Opts) ->
Ps = [?PASS(ssa_opt_split_blocks),
?PASS(ssa_opt_coalesce_phis),
?PASS(ssa_opt_tail_phis),
?PASS(ssa_opt_element),
?PASS(ssa_opt_linearize),
?PASS(ssa_opt_tuple_size),
?PASS(ssa_opt_record),
?PASS(ssa_opt_cse), % Helps the first type pass.
?PASS(ssa_opt_live), % ...
?PASS(ssa_opt_type_start)],
passes_1(Ps, Opts).
%% These passes all benefit from each other (in roughly this order), so they
%% are repeated as required.
repeated_passes(Opts) ->
Ps = [?PASS(ssa_opt_live),
?PASS(ssa_opt_bs_puts),
?PASS(ssa_opt_dead),
?PASS(ssa_opt_cse),
?PASS(ssa_opt_tail_phis),
?PASS(ssa_opt_sink),
?PASS(ssa_opt_tuple_size),
?PASS(ssa_opt_record),
?PASS(ssa_opt_type_continue)], %Must run after ssa_opt_dead to
%clean up phi nodes.
passes_1(Ps, Opts).
epilogue_passes(Opts) ->
Ps = [?PASS(ssa_opt_type_finish),
?PASS(ssa_opt_float),
?PASS(ssa_opt_sw),
%% Run live one more time to clean up after the float and sw
%% passes.
?PASS(ssa_opt_live),
?PASS(ssa_opt_bsm),
?PASS(ssa_opt_bsm_units),
?PASS(ssa_opt_bsm_shortcut),
?PASS(ssa_opt_sink),
?PASS(ssa_opt_blockify),
?PASS(ssa_opt_merge_blocks),
?PASS(ssa_opt_get_tuple_element),
?PASS(ssa_opt_trim_unreachable)],
passes_1(Ps, Opts).
passes_1(Ps, Opts0) ->
Negations = [{list_to_atom("no_"++atom_to_list(N)),N} ||
{N,_} <- Ps],
Opts = proplists:substitute_negations(Negations, Opts0),
[case proplists:get_value(Name, Opts, true) of
true ->
P;
false ->
{NoName,Name} = keyfind(Name, 2, Negations),
{NoName,fun(S) -> S end}
end || {Name,_}=P <- Ps].
%% Builds a function information map with basic information about incoming and
%% outgoing local calls, as well as whether the function is exported.
-spec build_func_db(#b_module{}) -> func_info_db().
build_func_db(#b_module{body=Fs,exports=Exports}) ->
try
fdb_1(Fs, gb_sets:from_list(Exports), #{})
catch
%% All module-level optimizations are invalid when a NIF can override a
%% function, so we have to bail out.
throw:load_nif -> #{}
end.
fdb_1([#b_function{ args=Args,bs=Bs }=F | Fs], Exports, FuncDb0) ->
Id = get_func_id(F),
#b_local{name=#b_literal{val=Name}, arity=Arity} = Id,
Exported = gb_sets:is_element({Name, Arity}, Exports),
ArgTypes = duplicate(length(Args), #{}),
FuncDb1 = case FuncDb0 of
%% We may have an entry already if someone's called us.
#{ Id := Info } ->
FuncDb0#{ Id := Info#func_info{ exported=Exported,
arg_types=ArgTypes }};
#{} ->
FuncDb0#{ Id => #func_info{ exported=Exported,
arg_types=ArgTypes }}
end,
FuncDb = beam_ssa:fold_rpo(fun(_L, #b_blk{is=Is}, FuncDb) ->
fdb_is(Is, Id, FuncDb)
end, FuncDb1, Bs),
fdb_1(Fs, Exports, FuncDb);
fdb_1([], _Exports, FuncDb) ->
FuncDb.
fdb_is([#b_set{op=call,
args=[#b_local{}=Callee | _]} | Is],
Caller, FuncDb) ->
fdb_is(Is, Caller, fdb_update(Caller, Callee, FuncDb));
fdb_is([#b_set{op=call,
args=[#b_remote{mod=#b_literal{val=erlang},
name=#b_literal{val=load_nif}},
_Path, _LoadInfo]} | _Is], _Caller, _FuncDb) ->
throw(load_nif);
fdb_is([_ | Is], Caller, FuncDb) ->
fdb_is(Is, Caller, FuncDb);
fdb_is([], _Caller, FuncDb) ->
FuncDb.
fdb_update(Caller, Callee, FuncDb) ->
CallerVertex = maps:get(Caller, FuncDb, #func_info{}),
CalleeVertex = maps:get(Callee, FuncDb, #func_info{}),
Calls = ordsets:add_element(Callee, CallerVertex#func_info.out),
CalledBy = ordsets:add_element(Caller, CalleeVertex#func_info.in),
FuncDb#{ Caller => CallerVertex#func_info{out=Calls},
Callee => CalleeVertex#func_info{in=CalledBy} }.
%% Returns the post-order of all local calls in this module. That is,
%% called functions will be ordered before the functions calling them.
%%
%% Functions where module-level optimization is disabled are added last in
%% arbitrary order.
get_call_order_po(StMap, FuncDb) ->
Order = gco_po(FuncDb),
Order ++ maps:fold(fun(K, _V, Acc) ->
case is_map_key(K, FuncDb) of
false -> [K | Acc];
true -> Acc
end
end, [], StMap).
gco_po(FuncDb) ->
All = sort(maps:keys(FuncDb)),
{RPO,_} = gco_rpo(All, FuncDb, cerl_sets:new(), []),
reverse(RPO).
gco_rpo([Id|Ids], FuncDb, Seen0, Acc0) ->
case cerl_sets:is_element(Id, Seen0) of
true ->
gco_rpo(Ids, FuncDb, Seen0, Acc0);
false ->
#func_info{out=Successors} = map_get(Id, FuncDb),
Seen1 = cerl_sets:add_element(Id, Seen0),
{Acc,Seen} = gco_rpo(Successors, FuncDb, Seen1, Acc0),
gco_rpo(Ids, FuncDb, Seen, [Id|Acc])
end;
gco_rpo([], _, Seen, Acc) ->
{Acc,Seen}.
%%%
%%% Trivial sub passes.
%%%
ssa_opt_dead({#st{ssa=Linear}=St, FuncDb}) ->
{St#st{ssa=beam_ssa_dead:opt(Linear)}, FuncDb}.
ssa_opt_linearize({#st{ssa=Blocks}=St, FuncDb}) ->
{St#st{ssa=beam_ssa:linearize(Blocks)}, FuncDb}.
ssa_opt_type_start({#st{ssa=Linear0,args=Args,anno=Anno}=St0, FuncDb0}) ->
{Linear, FuncDb} = beam_ssa_type:opt_start(Linear0, Args, Anno, FuncDb0),
{St0#st{ssa=Linear}, FuncDb}.
ssa_opt_type_continue({#st{ssa=Linear0,args=Args,anno=Anno}=St0, FuncDb0}) ->
{Linear, FuncDb} = beam_ssa_type:opt_continue(Linear0, Args, Anno, FuncDb0),
{St0#st{ssa=Linear}, FuncDb}.
ssa_opt_type_finish({#st{args=Args,anno=Anno0}=St0, FuncDb0}) ->
{Anno, FuncDb} = beam_ssa_type:opt_finish(Args, Anno0, FuncDb0),
{St0#st{anno=Anno}, FuncDb}.
ssa_opt_blockify({#st{ssa=Linear}=St, FuncDb}) ->
{St#st{ssa=maps:from_list(Linear)}, FuncDb}.
ssa_opt_trim_unreachable({#st{ssa=Blocks}=St, FuncDb}) ->
{St#st{ssa=beam_ssa:trim_unreachable(Blocks)}, FuncDb}.
%%%
%%% Split blocks before certain instructions to enable more optimizations.
%%%
%%% Splitting before element/2 enables the optimization that swaps
%%% element/2 instructions.
%%%
%%% Splitting before call and make_fun instructions gives more opportunities
%%% for sinking get_tuple_element instructions.
%%%
ssa_opt_split_blocks({#st{ssa=Blocks0,cnt=Count0}=St, FuncDb}) ->
P = fun(#b_set{op={bif,element}}) -> true;
(#b_set{op=call}) -> true;
(#b_set{op=make_fun}) -> true;
(_) -> false
end,
{Blocks,Count} = beam_ssa:split_blocks(P, Blocks0, Count0),
{St#st{ssa=Blocks,cnt=Count}, FuncDb}.
%%%
%%% Coalesce phi nodes.
%%%
%%% Nested cases can led to code such as this:
%%%
%%% 10:
%%% _1 = phi {literal value1, label 8}, {Var, label 9}
%%% br 11
%%%
%%% 11:
%%% _2 = phi {_1, label 10}, {literal false, label 3}
%%%
%%% The phi nodes can be coalesced like this:
%%%
%%% 11:
%%% _2 = phi {literal value1, label 8}, {Var, label 9}, {literal false, label 3}
%%%
%%% Coalescing can help other optimizations, and can in some cases reduce register
%%% shuffling (if the phi variables for two phi nodes happens to be allocated to
%%% different registers).
%%%
ssa_opt_coalesce_phis({#st{ssa=Blocks0}=St, FuncDb}) ->
Ls = beam_ssa:rpo(Blocks0),
Blocks = c_phis_1(Ls, Blocks0),
{St#st{ssa=Blocks}, FuncDb}.
c_phis_1([L|Ls], Blocks0) ->
case map_get(L, Blocks0) of
#b_blk{is=[#b_set{op=phi}|_]}=Blk ->
Blocks = c_phis_2(L, Blk, Blocks0),
c_phis_1(Ls, Blocks);
#b_blk{} ->
c_phis_1(Ls, Blocks0)
end;
c_phis_1([], Blocks) -> Blocks.
c_phis_2(L, #b_blk{is=Is0}=Blk0, Blocks0) ->
case c_phis_args(Is0, Blocks0) of
none ->
Blocks0;
{_,_,Preds}=Info ->
Is = c_rewrite_phis(Is0, Info),
Blk = Blk0#b_blk{is=Is},
Blocks = Blocks0#{L:=Blk},
c_fix_branches(Preds, L, Blocks)
end.
c_phis_args([#b_set{op=phi,args=Args0}|Is], Blocks) ->
case c_phis_args_1(Args0, Blocks) of
none ->
c_phis_args(Is, Blocks);
Res ->
Res
end;
c_phis_args(_, _Blocks) -> none.
c_phis_args_1([{Var,Pred}|As], Blocks) ->
case c_get_pred_vars(Var, Pred, Blocks) of
none ->
c_phis_args_1(As, Blocks);
Result ->
Result
end;
c_phis_args_1([], _Blocks) -> none.
c_get_pred_vars(Var, Pred, Blocks) ->
case map_get(Pred, Blocks) of
#b_blk{is=[#b_set{op=phi,dst=Var,args=Args}]} ->
{Var,Pred,Args};
#b_blk{} ->
none
end.
c_rewrite_phis([#b_set{op=phi,args=Args0}=I|Is], Info) ->
Args = c_rewrite_phi(Args0, Info),
[I#b_set{args=Args}|c_rewrite_phis(Is, Info)];
c_rewrite_phis(Is, _Info) -> Is.
c_rewrite_phi([{Var,Pred}|As], {Var,Pred,Values}) ->
Values ++ As;
c_rewrite_phi([{Value,Pred}|As], {_,Pred,Values}) ->
[{Value,P} || {_,P} <- Values] ++ As;
c_rewrite_phi([A|As], Info) ->
[A|c_rewrite_phi(As, Info)];
c_rewrite_phi([], _Info) -> [].
c_fix_branches([{_,Pred}|As], L, Blocks0) ->
#b_blk{last=Last0} = Blk0 = map_get(Pred, Blocks0),
#b_br{bool=#b_literal{val=true}} = Last0, %Assertion.
Last = Last0#b_br{bool=#b_literal{val=true},succ=L,fail=L},
Blk = Blk0#b_blk{last=Last},
Blocks = Blocks0#{Pred:=Blk},
c_fix_branches(As, L, Blocks);
c_fix_branches([], _, Blocks) -> Blocks.
%%%
%%% Eliminate phi nodes in the tail of a function.
%%%
%%% Try to eliminate short blocks that starts with a phi node
%%% and end in a return. For example:
%%%
%%% Result = phi { Res1, 4 }, { literal true, 5 }
%%% Ret = put_tuple literal ok, Result
%%% ret Ret
%%%
%%% The code in this block can be inserted at the end blocks 4 and
%%% 5. Thus, the following code can be inserted into block 4:
%%%
%%% Ret:1 = put_tuple literal ok, Res1
%%% ret Ret:1
%%%
%%% And the following code into block 5:
%%%
%%% Ret:2 = put_tuple literal ok, literal true
%%% ret Ret:2
%%%
%%% Which can be further simplified to:
%%%
%%% ret literal {ok, true}
%%%
%%% This transformation may lead to more code improvements:
%%%
%%% - Stack trimming
%%% - Fewer test_heap instructions
%%% - Smaller stack frames
%%%
ssa_opt_tail_phis({#st{ssa=SSA0,cnt=Count0}=St, FuncDb}) ->
{SSA,Count} = opt_tail_phis(SSA0, Count0),
{St#st{ssa=SSA,cnt=Count}, FuncDb}.
opt_tail_phis(Blocks, Count) when is_map(Blocks) ->
opt_tail_phis(maps:values(Blocks), Blocks, Count);
opt_tail_phis(Linear0, Count0) when is_list(Linear0) ->
Blocks0 = maps:from_list(Linear0),
{Blocks,Count} = opt_tail_phis(Blocks0, Count0),
{beam_ssa:linearize(Blocks),Count}.
opt_tail_phis([#b_blk{is=Is0,last=Last}|Bs], Blocks0, Count0) ->
case {Is0,Last} of
{[#b_set{op=phi,args=[_,_|_]}|_],#b_ret{arg=#b_var{}}=Ret} ->
{Phis,Is} = splitwith(fun(#b_set{op=Op}) -> Op =:= phi end, Is0),
case suitable_tail_ops(Is) of
true ->
{Blocks,Count} = opt_tail_phi(Phis, Is, Ret,
Blocks0, Count0),
opt_tail_phis(Bs, Blocks, Count);
false ->
opt_tail_phis(Bs, Blocks0, Count0)
end;
{_,_} ->
opt_tail_phis(Bs, Blocks0, Count0)
end;
opt_tail_phis([], Blocks, Count) ->
{Blocks,Count}.
opt_tail_phi(Phis0, Is, Ret, Blocks0, Count0) ->
Phis = rel2fam(reduce_phis(Phis0)),
{Blocks,Count,Cost} =
foldl(fun(PhiArg, Acc) ->
opt_tail_phi_arg(PhiArg, Is, Ret, Acc)
end, {Blocks0,Count0,0}, Phis),
MaxCost = length(Phis) * 3 + 2,
if
Cost =< MaxCost ->
%% The transformation would cause at most a slight
%% increase in code size if no more optimizations
%% can be applied.
{Blocks,Count};
true ->
%% The code size would be increased too much.
{Blocks0,Count0}
end.
reduce_phis([#b_set{dst=PhiDst,args=PhiArgs}|Is]) ->
[{L,{PhiDst,Val}} || {Val,L} <- PhiArgs] ++ reduce_phis(Is);
reduce_phis([]) -> [].
opt_tail_phi_arg({PredL,Sub0}, Is0, Ret0, {Blocks0,Count0,Cost0}) ->
Blk0 = map_get(PredL, Blocks0),
#b_blk{is=IsPrefix,last=#b_br{succ=Next,fail=Next}} = Blk0,
case is_exit_bif(IsPrefix) of
false ->
Sub1 = maps:from_list(Sub0),
{Is1,Count,Sub} = new_names(Is0, Sub1, Count0, []),
Is2 = [sub(I, Sub) || I <- Is1],
Cost = build_cost(Is2, Cost0),
Is = IsPrefix ++ Is2,
Ret = sub(Ret0, Sub),
Blk = Blk0#b_blk{is=Is,last=Ret},
Blocks = Blocks0#{PredL:=Blk},
{Blocks,Count,Cost};
true ->
%% The block ends in a call to a function that
%% will cause an exception.
{Blocks0,Count0,Cost0+3}
end.
is_exit_bif([#b_set{op=call,
args=[#b_remote{mod=#b_literal{val=Mod},
name=#b_literal{val=Name}}|Args]}]) ->
erl_bifs:is_exit_bif(Mod, Name, length(Args));
is_exit_bif(_) -> false.
new_names([#b_set{dst=Dst}=I|Is], Sub0, Count0, Acc) ->
{NewDst,Count} = new_var(Dst, Count0),
Sub = Sub0#{Dst=>NewDst},
new_names(Is, Sub, Count, [I#b_set{dst=NewDst}|Acc]);
new_names([], Sub, Count, Acc) ->
{reverse(Acc),Count,Sub}.
suitable_tail_ops(Is) ->
all(fun(#b_set{op=Op}) ->
is_suitable_tail_op(Op)
end, Is).
is_suitable_tail_op({bif,_}) -> true;
is_suitable_tail_op(put_list) -> true;
is_suitable_tail_op(put_tuple) -> true;
is_suitable_tail_op(_) -> false.
build_cost([#b_set{op=put_list,args=Args}|Is], Cost) ->
case are_all_literals(Args) of
true ->
build_cost(Is, Cost);
false ->
build_cost(Is, Cost + 1)
end;
build_cost([#b_set{op=put_tuple,args=Args}|Is], Cost) ->
case are_all_literals(Args) of
true ->
build_cost(Is, Cost);
false ->
build_cost(Is, Cost + length(Args) + 1)
end;
build_cost([#b_set{op={bif,_},args=Args}|Is], Cost) ->
case are_all_literals(Args) of
true ->
build_cost(Is, Cost);
false ->
build_cost(Is, Cost + 1)
end;
build_cost([], Cost) -> Cost.
are_all_literals(Args) ->
all(fun(#b_literal{}) -> true;
(_) -> false
end, Args).
%%%
%%% Order element/2 calls.
%%%
%%% Order an unbroken chain of element/2 calls for the same tuple
%%% with the same failure label so that the highest element is
%%% retrieved first. That will allow the other element/2 calls to
%%% be replaced with get_tuple_element/3 instructions.
%%%
ssa_opt_element({#st{ssa=Blocks}=St, FuncDb}) ->
%% Collect the information about element instructions in this
%% function.
GetEls = collect_element_calls(beam_ssa:linearize(Blocks)),
%% Collect the element instructions into chains. The
%% element calls in each chain are ordered in reverse
%% execution order.
Chains = collect_chains(GetEls, []),
%% For each chain, swap the first element call with the
%% element call with the highest index.
{St#st{ssa=swap_element_calls(Chains, Blocks)}, FuncDb}.
collect_element_calls([{L,#b_blk{is=Is0,last=Last}}|Bs]) ->
case {Is0,Last} of
{[#b_set{op={bif,element},dst=Element,
args=[#b_literal{val=N},#b_var{}=Tuple]},
#b_set{op=succeeded,dst=Bool,args=[Element]}],
#b_br{bool=Bool,succ=Succ,fail=Fail}} ->
Info = {L,Succ,{Tuple,Fail},N},
[Info|collect_element_calls(Bs)];
{_,_} ->
collect_element_calls(Bs)
end;
collect_element_calls([]) -> [].
collect_chains([{This,_,V,_}=El|Els], [{_,This,V,_}|_]=Chain) ->
%% Add to the previous chain.
collect_chains(Els, [El|Chain]);
collect_chains([El|Els], [_,_|_]=Chain) ->
%% Save the previous chain and start a new chain.
[Chain|collect_chains(Els, [El])];
collect_chains([El|Els], _Chain) ->
%% The previous chain is too short; discard it and start a new.
collect_chains(Els, [El]);
collect_chains([], [_,_|_]=Chain) ->
%% Save the last chain.
[Chain];
collect_chains([], _) -> [].
swap_element_calls([[{L,_,_,N}|_]=Chain|Chains], Blocks0) ->
Blocks = swap_element_calls_1(Chain, {N,L}, Blocks0),
swap_element_calls(Chains, Blocks);
swap_element_calls([], Blocks) -> Blocks.
swap_element_calls_1([{L1,_,_,N1}], {N2,L2}, Blocks) when N2 > N1 ->
%% We have reached the end of the chain, and the first
%% element instrution to be executed. Its index is lower
%% than the maximum index found while traversing the chain,
%% so we will need to swap the instructions.
#{L1:=Blk1,L2:=Blk2} = Blocks,
[#b_set{dst=Dst1}=GetEl1,Succ1] = Blk1#b_blk.is,
[#b_set{dst=Dst2}=GetEl2,Succ2] = Blk2#b_blk.is,
Is1 = [GetEl2,Succ1#b_set{args=[Dst2]}],
Is2 = [GetEl1,Succ2#b_set{args=[Dst1]}],
Blocks#{L1:=Blk1#b_blk{is=Is1},L2:=Blk2#b_blk{is=Is2}};
swap_element_calls_1([{L,_,_,N1}|Els], {N2,_}, Blocks) when N1 > N2 ->
swap_element_calls_1(Els, {N2,L}, Blocks);
swap_element_calls_1([_|Els], Highest, Blocks) ->
swap_element_calls_1(Els, Highest, Blocks);
swap_element_calls_1([], _, Blocks) ->
%% Nothing to do. The element call with highest index
%% is already the first one to be executed.
Blocks.
%%%
%%% Record optimization.
%%%
%%% Replace tuple matching with an is_tagged_tuple instruction
%%% when applicable.
%%%
ssa_opt_record({#st{ssa=Linear}=St, FuncDb}) ->
Blocks = maps:from_list(Linear),
{St#st{ssa=record_opt(Linear, Blocks)}, FuncDb}.
record_opt([{L,#b_blk{is=Is0,last=Last}=Blk0}|Bs], Blocks) ->
Is = record_opt_is(Is0, Last, Blocks),
Blk = Blk0#b_blk{is=Is},
[{L,Blk}|record_opt(Bs, Blocks)];
record_opt([], _Blocks) -> [].
record_opt_is([#b_set{op={bif,is_tuple},dst=Bool,args=[Tuple]}=Set],
Last, Blocks) ->
case is_tagged_tuple(Tuple, Bool, Last, Blocks) of
{yes,Size,Tag} ->
Args = [Tuple,Size,Tag],
[Set#b_set{op=is_tagged_tuple,args=Args}];
no ->
[Set]
end;
record_opt_is([I|Is]=Is0, #b_br{bool=Bool}=Last, Blocks) ->
case is_tagged_tuple_1(Is0, Last, Blocks) of
{yes,_Fail,Tuple,Arity,Tag} ->
Args = [Tuple,Arity,Tag],
[I#b_set{op=is_tagged_tuple,dst=Bool,args=Args}];
no ->
[I|record_opt_is(Is, Last, Blocks)]
end;
record_opt_is([I|Is], Last, Blocks) ->
[I|record_opt_is(Is, Last, Blocks)];
record_opt_is([], _Last, _Blocks) -> [].
is_tagged_tuple(#b_var{}=Tuple, Bool,
#b_br{bool=Bool,succ=Succ,fail=Fail},
Blocks) ->
#b_blk{is=Is,last=Last} = map_get(Succ, Blocks),
case is_tagged_tuple_1(Is, Last, Blocks) of
{yes,Fail,Tuple,Arity,Tag} ->
{yes,Arity,Tag};
_ ->
no
end;
is_tagged_tuple(_, _, _, _) -> no.
is_tagged_tuple_1(Is, Last, Blocks) ->
case {Is,Last} of
{[#b_set{op={bif,tuple_size},dst=ArityVar,
args=[#b_var{}=Tuple]},
#b_set{op={bif,'=:='},
dst=Bool,
args=[ArityVar, #b_literal{val=ArityVal}=Arity]}],
#b_br{bool=Bool,succ=Succ,fail=Fail}}
when is_integer(ArityVal) ->
SuccBlk = map_get(Succ, Blocks),
case is_tagged_tuple_2(SuccBlk, Tuple, Fail) of
no ->
no;
{yes,Tag} ->
{yes,Fail,Tuple,Arity,Tag}
end;
_ ->
no
end.
is_tagged_tuple_2(#b_blk{is=Is,
last=#b_br{bool=#b_var{}=Bool,fail=Fail}},
Tuple, Fail) ->
is_tagged_tuple_3(Is, Bool, Tuple);
is_tagged_tuple_2(#b_blk{}, _, _) -> no.
is_tagged_tuple_3([#b_set{op=get_tuple_element,
dst=TagVar,
args=[#b_var{}=Tuple,#b_literal{val=0}]}|Is],
Bool, Tuple) ->
is_tagged_tuple_4(Is, Bool, TagVar);
is_tagged_tuple_3([_|Is], Bool, Tuple) ->
is_tagged_tuple_3(Is, Bool, Tuple);
is_tagged_tuple_3([], _, _) -> no.
is_tagged_tuple_4([#b_set{op={bif,'=:='},dst=Bool,
args=[#b_var{}=TagVar,
#b_literal{val=TagVal}=Tag]}],
Bool, TagVar) when is_atom(TagVal) ->
{yes,Tag};
is_tagged_tuple_4([_|Is], Bool, TagVar) ->
is_tagged_tuple_4(Is, Bool, TagVar);
is_tagged_tuple_4([], _, _) -> no.
%%%
%%% Common subexpression elimination (CSE).
%%%
%%% Eliminate repeated evaluation of identical expressions. To avoid
%%% increasing the size of the stack frame, we don't eliminate
%%% subexpressions across instructions that clobber the X registers.
%%%
ssa_opt_cse({#st{ssa=Linear}=St, FuncDb}) ->
M = #{0=>#{}},
{St#st{ssa=cse(Linear, #{}, M)}, FuncDb}.
cse([{L,#b_blk{is=Is0,last=Last0}=Blk}|Bs], Sub0, M0) ->
Es0 = map_get(L, M0),
{Is1,Es,Sub} = cse_is(Is0, Es0, Sub0, []),
Last = sub(Last0, Sub),
M = cse_successors(Is1, Blk, Es, M0),
Is = reverse(Is1),
[{L,Blk#b_blk{is=Is,last=Last}}|cse(Bs, Sub, M)];
cse([], _, _) -> [].
cse_successors([#b_set{op=succeeded,args=[Src]},Bif|_], Blk, EsSucc, M0) ->
case cse_suitable(Bif) of
true ->
%% The previous instruction only has a valid value at the success branch.
%% We must remove the substitution for Src from the failure branch.
#b_blk{last=#b_br{succ=Succ,fail=Fail}} = Blk,
M = cse_successors_1([Succ], EsSucc, M0),
EsFail = maps:filter(fun(_, Val) -> Val =/= Src end, EsSucc),
cse_successors_1([Fail], EsFail, M);
false ->
%% There can't be any replacement for Src in EsSucc. No need for
%% any special handling.
cse_successors_1(beam_ssa:successors(Blk), EsSucc, M0)
end;
cse_successors(_Is, Blk, Es, M) ->
cse_successors_1(beam_ssa:successors(Blk), Es, M).
cse_successors_1([L|Ls], Es0, M) ->
case M of
#{L:=Es1} when map_size(Es1) =:= 0 ->
%% The map is already empty. No need to do anything
%% since the intersection will be empty.
cse_successors_1(Ls, Es0, M);
#{L:=Es1} ->
%% Calculate the intersection of the two maps.
%% Both keys and values must match.
Es = maps:filter(fun(Key, Value) ->
case Es1 of
#{Key:=Value} -> true;
#{} -> false
end
end, Es0),
cse_successors_1(Ls, Es0, M#{L:=Es});
#{} ->
cse_successors_1(Ls, Es0, M#{L=>Es0})
end;
cse_successors_1([], _, M) -> M.
cse_is([#b_set{op=succeeded,dst=Bool,args=[Src]}=I0|Is], Es, Sub0, Acc) ->
I = sub(I0, Sub0),
case I of
#b_set{args=[Src]} ->
cse_is(Is, Es, Sub0, [I|Acc]);
#b_set{} ->
%% The previous instruction has been eliminated. Eliminate the
%% 'succeeded' instruction too.
Sub = Sub0#{Bool=>#b_literal{val=true}},
cse_is(Is, Es, Sub, Acc)
end;
cse_is([#b_set{dst=Dst}=I0|Is], Es0, Sub0, Acc) ->
I = sub(I0, Sub0),
case beam_ssa:clobbers_xregs(I) of
true ->
%% Retaining the expressions map across calls and other
%% clobbering instructions would work, but it would cause
%% the common subexpressions to be saved to Y registers,
%% which would probably increase the size of the stack
%% frame.
cse_is(Is, #{}, Sub0, [I|Acc]);
false ->
case cse_expr(I) of
none ->
%% Not suitable for CSE.
cse_is(Is, Es0, Sub0, [I|Acc]);
{ok,ExprKey} ->
case Es0 of
#{ExprKey:=Src} ->
Sub = Sub0#{Dst=>Src},
cse_is(Is, Es0, Sub, Acc);
#{} ->
Es = Es0#{ExprKey=>Dst},
cse_is(Is, Es, Sub0, [I|Acc])
end
end
end;
cse_is([], Es, Sub, Acc) ->
{Acc,Es,Sub}.
cse_expr(#b_set{op=Op,args=Args}=I) ->
case cse_suitable(I) of
true -> {ok,{Op,Args}};
false -> none
end.
cse_suitable(#b_set{op=get_hd}) -> true;
cse_suitable(#b_set{op=get_tl}) -> true;
cse_suitable(#b_set{op=put_list}) -> true;
cse_suitable(#b_set{op=get_tuple_element}) -> true;
cse_suitable(#b_set{op=put_tuple}) -> true;
cse_suitable(#b_set{op={bif,tuple_size}}) ->
%% Doing CSE for tuple_size/1 can prevent the
%% creation of test_arity and select_tuple_arity
%% instructions. That could decrease performance
%% and beam_validator could fail to understand
%% that tuple operations that follow are safe.
false;
cse_suitable(#b_set{anno=Anno,op={bif,Name},args=Args}) ->
%% Doing CSE for floating point operators is unsafe.
%% Doing CSE for comparison operators would prevent
%% creation of 'test' instructions.
Arity = length(Args),
not (is_map_key(float_op, Anno) orelse
erl_internal:new_type_test(Name, Arity) orelse
erl_internal:comp_op(Name, Arity) orelse
erl_internal:bool_op(Name, Arity));
cse_suitable(#b_set{}) -> false.
%%%
%%% Using floating point instructions.
%%%
%%% Use the special floating points version of arithmetic
%%% instructions, if the operands are known to be floats or the result
%%% of the operation will be a float.
%%%
%%% The float instructions were never used in guards before, so we
%%% will take special care to keep not using them in guards. Using
%%% them in guards would require a new version of the 'fconv'
%%% instruction that would take a failure label. Since it is unlikely
%%% that using float instructions in guards would be benefical, why
%%% bother implementing a new instruction? Also, implementing float
%%% instructions in guards in HiPE could turn out to be a lot of work.
%%%
-record(fs,
{s=undefined :: 'undefined' | 'cleared',
regs=#{} :: #{beam_ssa:b_var():=beam_ssa:b_var()},
vars=cerl_sets:new() :: cerl_sets:set(),
fail=none :: 'none' | beam_ssa:label(),
non_guards :: gb_sets:set(beam_ssa:label()),
bs :: beam_ssa:block_map()
}).
ssa_opt_float({#st{ssa=Linear0,cnt=Count0}=St, FuncDb}) ->
NonGuards = non_guards(Linear0),
Blocks = maps:from_list(Linear0),
Fs = #fs{non_guards=NonGuards,bs=Blocks},
{Linear,Count} = float_opt(Linear0, Count0, Fs),
{St#st{ssa=Linear,cnt=Count}, FuncDb}.
%% The fconv instruction doesn't support jumping to a fail label, so we have to
%% skip this optimization if the fail block is a guard.
%%
%% We also skip the optimization in blocks that always fail, as it's both
%% difficult and pointless to rewrite them to use float ops.
float_can_optimize_blk(#b_blk{last=#b_br{bool=#b_var{},fail=F}},
#fs{non_guards=NonGuards}) ->
gb_sets:is_member(F, NonGuards);
float_can_optimize_blk(#b_blk{}, #fs{}) ->
false.
float_opt([{L,#b_blk{is=[#b_set{op=exception_trampoline,args=[Var]}]}=Blk0} |
Bs0], Count0, Fs) ->
%% If we've replaced a BIF with float operations, we'll have a lot of extra
%% blocks that jump to the same failure block, which may have a trampoline
%% that refers to the original operation.
%%
%% Since the point of the trampoline is to keep the BIF from being removed
%% by liveness optimization, we can discard it as the liveness pass leaves
%% floats alone.
Blk = case cerl_sets:is_element(Var, Fs#fs.vars) of
true -> Blk0#b_blk{is=[]};
false -> Blk0
end,
{Bs, Count} = float_opt(Bs0, Count0, Fs),
{[{L,Blk}|Bs],Count};
float_opt([{L,Blk}|Bs0], Count0, Fs) ->
case float_can_optimize_blk(Blk, Fs) of
true ->
float_opt_1(L, Blk, Bs0, Count0, Fs);
false ->
{Bs,Count} = float_opt(Bs0, Count0, Fs),
{[{L,Blk}|Bs],Count}
end;
float_opt([], Count, _Fs) ->
{[],Count}.
float_opt_1(L, #b_blk{is=Is0}=Blk0, Bs0, Count0, Fs0) ->
case float_opt_is(Is0, Fs0, Count0, []) of
{Is1,Fs1,Count1} ->
Fs2 = float_fail_label(Blk0, Fs1),
Fail = Fs2#fs.fail,
{Flush,Blk,Fs,Count2} = float_maybe_flush(Blk0, Fs2, Count1),
Split = float_split_conv(Is1, Blk),
{Blks0,Count3} = float_number(Split, L, Count2),
{Blks,Count4} = float_conv(Blks0, Fail, Count3),
{Bs,Count} = float_opt(Bs0, Count4, Fs),
{Blks++Flush++Bs,Count};
none ->
{Bs,Count} = float_opt(Bs0, Count0, Fs0),
{[{L,Blk0}|Bs],Count}
end.
%% Split {float,convert} instructions into individual blocks.
float_split_conv(Is0, Blk) ->
Br = #b_br{bool=#b_literal{val=true},succ=0,fail=0},
case splitwith(fun(#b_set{op=Op}) ->
Op =/= {float,convert}
end, Is0) of
{Is,[]} ->
[Blk#b_blk{is=Is}];
{[_|_]=Is1,[#b_set{op={float,convert}}=Conv|Is2]} ->
[#b_blk{is=Is1,last=Br},
#b_blk{is=[Conv],last=Br}|float_split_conv(Is2, Blk)];
{[],[#b_set{op={float,convert}}=Conv|Is1]} ->
[#b_blk{is=[Conv],last=Br}|float_split_conv(Is1, Blk)]
end.
%% Number the blocks that were split.
float_number([B|Bs0], FirstL, Count0) ->
{Bs,Count} = float_number(Bs0, Count0),
{[{FirstL,B}|Bs],Count}.
float_number([B|Bs0], Count0) ->
{Bs,Count} = float_number(Bs0, Count0+1),
{[{Count0,B}|Bs],Count};
float_number([], Count) ->
{[],Count}.
%% Insert 'succeeded' instructions after each {float,convert}
%% instruction.
float_conv([{L,#b_blk{is=Is0}=Blk0}|Bs0], Fail, Count0) ->
case Is0 of
[#b_set{op={float,convert}}=Conv] ->
{Bool0,Count1} = new_reg('@ssa_bool', Count0),
Bool = #b_var{name=Bool0},
Succeeded = #b_set{op=succeeded,dst=Bool,
args=[Conv#b_set.dst]},
Is = [Conv,Succeeded],
[{NextL,_}|_] = Bs0,
Br = #b_br{bool=Bool,succ=NextL,fail=Fail},
Blk = Blk0#b_blk{is=Is,last=Br},
{Bs,Count} = float_conv(Bs0, Fail, Count1),
{[{L,Blk}|Bs],Count};
[_|_] ->
case Bs0 of
[{NextL,_}|_] ->
Br = #b_br{bool=#b_literal{val=true},
succ=NextL,fail=NextL},
Blk = Blk0#b_blk{last=Br},
{Bs,Count} = float_conv(Bs0, Fail, Count0),
{[{L,Blk}|Bs],Count};
[] ->
{[{L,Blk0}],Count0}
end
end.
float_maybe_flush(Blk0, #fs{s=cleared,fail=Fail,bs=Blocks}=Fs0, Count0) ->
#b_blk{last=#b_br{bool=#b_var{},succ=Succ}=Br} = Blk0,
%% If the success block starts with a floating point operation, we can
%% defer flushing to that block as long as it's suitable for optimization.
#b_blk{is=Is} = SuccBlk = map_get(Succ, Blocks),
CanOptimizeSucc = float_can_optimize_blk(SuccBlk, Fs0),
case Is of
[#b_set{anno=#{float_op:=_}}|_] when CanOptimizeSucc ->
%% No flush needed.
{[],Blk0,Fs0,Count0};
_ ->
%% Flush needed.
{Bool0,Count1} = new_reg('@ssa_bool', Count0),
Bool = #b_var{name=Bool0},
%% Allocate block numbers.
CheckL = Count1, %For checkerror.
FlushL = Count1 + 1, %For flushing of float regs.
Count = Count1 + 2,
Blk = Blk0#b_blk{last=Br#b_br{succ=CheckL}},
%% Build the block with the checkerror instruction.
CheckIs = [#b_set{op={float,checkerror},dst=Bool}],
CheckBr = #b_br{bool=Bool,succ=FlushL,fail=Fail},
CheckBlk = #b_blk{is=CheckIs,last=CheckBr},
%% Build the block that flushes all registers.
FlushIs = float_flush_regs(Fs0),
FlushBr = #b_br{bool=#b_literal{val=true},succ=Succ,fail=Succ},
FlushBlk = #b_blk{is=FlushIs,last=FlushBr},
%% Update state and blocks.
Fs = Fs0#fs{s=undefined,regs=#{},fail=none},
FlushBs = [{CheckL,CheckBlk},{FlushL,FlushBlk}],
{FlushBs,Blk,Fs,Count}
end;
float_maybe_flush(Blk, Fs, Count) ->
{[],Blk,Fs,Count}.
float_opt_is([#b_set{op=succeeded,args=[Src]}=I0],
#fs{regs=Rs}=Fs, Count, Acc) ->
case Rs of
#{Src:=Fr} ->
I = I0#b_set{args=[Fr]},
{reverse(Acc, [I]),Fs,Count};
#{} ->
{reverse(Acc, [I0]),Fs,Count}
end;
float_opt_is([#b_set{anno=Anno0}=I0|Is0], Fs0, Count0, Acc) ->
case Anno0 of
#{float_op:=FTypes} ->
Anno = maps:remove(float_op, Anno0),
I1 = I0#b_set{anno=Anno},
{Is,Fs,Count} = float_make_op(I1, FTypes, Fs0, Count0),
float_opt_is(Is0, Fs, Count, reverse(Is, Acc));
#{} ->
float_opt_is(Is0, Fs0#fs{regs=#{}}, Count0, [I0|Acc])
end;
float_opt_is([], Fs, _Count, _Acc) ->
#fs{s=undefined} = Fs, %Assertion.
none.
float_make_op(#b_set{op={bif,Op},dst=Dst,args=As0}=I0,
Ts, #fs{s=S,regs=Rs0,vars=Vs0}=Fs, Count0) ->
{As1,Rs1,Count1} = float_load(As0, Ts, Rs0, Count0, []),
{As,Is0} = unzip(As1),
{Fr,Count2} = new_reg('@fr', Count1),
FrDst = #b_var{name=Fr},
I = I0#b_set{op={float,Op},dst=FrDst,args=As},
Vs = cerl_sets:add_element(Dst, Vs0),
Rs = Rs1#{Dst=>FrDst},
Is = append(Is0) ++ [I],
case S of
undefined ->
{Ignore,Count} = new_reg('@ssa_ignore', Count2),
C = #b_set{op={float,clearerror},dst=#b_var{name=Ignore}},
{[C|Is],Fs#fs{s=cleared,regs=Rs,vars=Vs},Count};
cleared ->
{Is,Fs#fs{regs=Rs,vars=Vs},Count2}
end.
float_load([A|As], [T|Ts], Rs0, Count0, Acc) ->
{Load,Rs,Count} = float_reg_arg(A, T, Rs0, Count0),
float_load(As, Ts, Rs, Count, [Load|Acc]);
float_load([], [], Rs, Count, Acc) ->
{reverse(Acc),Rs,Count}.
float_reg_arg(A, T, Rs, Count0) ->
case Rs of
#{A:=Fr} ->
{{Fr,[]},Rs,Count0};
#{} ->
{Fr,Count} = new_float_copy_reg(Count0),
Dst = #b_var{name=Fr},
I = float_load_reg(T, A, Dst),
{{Dst,[I]},Rs#{A=>Dst},Count}
end.
float_load_reg(convert, #b_var{}=Src, Dst) ->
#b_set{op={float,convert},dst=Dst,args=[Src]};
float_load_reg(convert, #b_literal{val=Val}=Src, Dst) ->
try float(Val) of
F ->
#b_set{op={float,put},dst=Dst,args=[#b_literal{val=F}]}
catch
error:_ ->
%% Let the exception happen at runtime.
#b_set{op={float,convert},dst=Dst,args=[Src]}
end;
float_load_reg(float, Src, Dst) ->
#b_set{op={float,put},dst=Dst,args=[Src]}.
new_float_copy_reg(Count) ->
new_reg('@fr_copy', Count).
new_reg(Base, Count) ->
Fr = {Base,Count},
{Fr,Count+1}.
float_fail_label(#b_blk{last=Last}, Fs) ->
case Last of
#b_br{bool=#b_var{},fail=Fail} ->
Fs#fs{fail=Fail};
_ ->
Fs
end.
float_flush_regs(#fs{regs=Rs}) ->
maps:fold(fun(_, #b_var{name={'@fr_copy',_}}, Acc) ->
Acc;
(Dst, Fr, Acc) ->
[#b_set{op={float,get},dst=Dst,args=[Fr]}|Acc]
end, [], Rs).
%%%
%%% Live optimization.
%%%
%%% Optimize instructions whose values are not used. They could be
%%% removed if they have no side effects, or in a few cases replaced
%%% with a cheaper instructions
%%%
ssa_opt_live({#st{ssa=Linear0}=St, FuncDb}) ->
RevLinear = reverse(Linear0),
Blocks0 = maps:from_list(RevLinear),
Blocks = live_opt(RevLinear, #{}, Blocks0),
Linear = beam_ssa:linearize(Blocks),
{St#st{ssa=Linear}, FuncDb}.
live_opt([{L,Blk0}|Bs], LiveMap0, Blocks) ->
Blk1 = beam_ssa_share:block(Blk0, Blocks),
Successors = beam_ssa:successors(Blk1),
Live0 = live_opt_succ(Successors, L, LiveMap0, gb_sets:empty()),
{Blk,Live} = live_opt_blk(Blk1, Live0),
LiveMap = live_opt_phis(Blk#b_blk.is, L, Live, LiveMap0),
live_opt(Bs, LiveMap, Blocks#{L:=Blk});
live_opt([], _, Acc) -> Acc.
live_opt_succ([S|Ss], L, LiveMap, Live0) ->
Key = {S,L},
case LiveMap of
#{Key:=Live} ->
%% The successor has a phi node, and the value for
%% this block in the phi node is a variable.
live_opt_succ(Ss, L, LiveMap, gb_sets:union(Live, Live0));
#{S:=Live} ->
%% No phi node in the successor, or the value for
%% this block in the phi node is a literal.
live_opt_succ(Ss, L, LiveMap, gb_sets:union(Live, Live0));
#{} ->
%% A peek_message block which has not been processed yet.
live_opt_succ(Ss, L, LiveMap, Live0)
end;
live_opt_succ([], _, _, Acc) -> Acc.
live_opt_phis(Is, L, Live0, LiveMap0) ->
LiveMap = LiveMap0#{L=>Live0},
Phis = takewhile(fun(#b_set{op=Op}) -> Op =:= phi end, Is),
case Phis of
[] ->
LiveMap;
[_|_] ->
PhiArgs = append([Args || #b_set{args=Args} <- Phis]),
case [{P,V} || {#b_var{}=V,P} <- PhiArgs] of
[_|_]=PhiVars ->
PhiLive0 = rel2fam(PhiVars),
PhiLive = [{{L,P},gb_sets:union(gb_sets:from_list(Vs), Live0)} ||
{P,Vs} <- PhiLive0],
maps:merge(LiveMap, maps:from_list(PhiLive));
[] ->
%% There were only literals in the phi node(s).
LiveMap
end
end.
live_opt_blk(#b_blk{is=Is0,last=Last}=Blk, Live0) ->
Live1 = gb_sets:union(Live0, gb_sets:from_ordset(beam_ssa:used(Last))),
{Is,Live} = live_opt_is(reverse(Is0), Live1, []),
{Blk#b_blk{is=Is},Live}.
live_opt_is([#b_set{op=phi,dst=Dst}=I|Is], Live, Acc) ->
case gb_sets:is_member(Dst, Live) of
true ->
live_opt_is(Is, Live, [I|Acc]);
false ->
live_opt_is(Is, Live, Acc)
end;
live_opt_is([#b_set{op=succeeded,dst=SuccDst,args=[MapDst]}=SuccI,
#b_set{op=get_map_element,dst=MapDst}=MapI | Is],
Live0, Acc) ->
case {gb_sets:is_member(SuccDst, Live0),
gb_sets:is_member(MapDst, Live0)} of
{true, true} ->
Live = gb_sets:delete(SuccDst, Live0),
live_opt_is([MapI | Is], Live, [SuccI | Acc]);
{true, false} ->
%% 'get_map_element' is unused; replace 'succeeded' with
%% 'has_map_field'
NewI = MapI#b_set{op=has_map_field,dst=SuccDst},
live_opt_is([NewI | Is], Live0, Acc);
{false, true} ->
%% 'succeeded' is unused (we know it will succeed); discard it and
%% keep 'get_map_element'
live_opt_is([MapI | Is], Live0, Acc);
{false, false} ->
live_opt_is(Is, Live0, Acc)
end;
live_opt_is([#b_set{dst=Dst}=I|Is], Live0, Acc) ->
case gb_sets:is_member(Dst, Live0) of
true ->
LiveUsed = gb_sets:from_ordset(beam_ssa:used(I)),
Live1 = gb_sets:union(Live0, LiveUsed),
Live = gb_sets:delete(Dst, Live1),
live_opt_is(Is, Live, [I|Acc]);
false ->
case beam_ssa:no_side_effect(I) of
true ->
live_opt_is(Is, Live0, Acc);
false ->
LiveUsed = gb_sets:from_ordset(beam_ssa:used(I)),
Live = gb_sets:union(Live0, LiveUsed),
live_opt_is(Is, Live, [I|Acc])
end
end;
live_opt_is([], Live, Acc) ->
{Acc,Live}.
%%%
%%% Optimize binary matching.
%%%
%%% * If the value of segment is never extracted, rewrite
%%% to a bs_skip instruction.
%%%
%%% * Coalesce adjacent bs_skip instructions and skip instructions
%%% with bs_test_tail.
%%%
ssa_opt_bsm({#st{ssa=Linear}=St, FuncDb}) ->
Extracted0 = bsm_extracted(Linear),
Extracted = cerl_sets:from_list(Extracted0),
{St#st{ssa=bsm_skip(Linear, Extracted)}, FuncDb}.
bsm_skip([{L,#b_blk{is=Is0}=Blk}|Bs0], Extracted) ->
Bs = bsm_skip(Bs0, Extracted),
Is = bsm_skip_is(Is0, Extracted),
coalesce_skips({L,Blk#b_blk{is=Is}}, Bs);
bsm_skip([], _) -> [].
bsm_skip_is([I0|Is], Extracted) ->
case I0 of
#b_set{op=bs_match,
dst=Ctx,
args=[#b_literal{val=T}=Type,PrevCtx|Args0]}
when T =/= string, T =/= skip ->
I = case cerl_sets:is_element(Ctx, Extracted) of
true ->
I0;
false ->
%% The value is never extracted.
Args = [#b_literal{val=skip},PrevCtx,Type|Args0],
I0#b_set{args=Args}
end,
[I|Is];
#b_set{} ->
[I0|bsm_skip_is(Is, Extracted)]
end;
bsm_skip_is([], _) -> [].
bsm_extracted([{_,#b_blk{is=Is}}|Bs]) ->
case Is of
[#b_set{op=bs_extract,args=[Ctx]}|_] ->
[Ctx|bsm_extracted(Bs)];
_ ->
bsm_extracted(Bs)
end;
bsm_extracted([]) -> [].
coalesce_skips({L,#b_blk{is=[#b_set{op=bs_extract}=Extract|Is0],
last=Last0}=Blk0}, Bs0) ->
case coalesce_skips_is(Is0, Last0, Bs0) of
not_possible ->
[{L,Blk0}|Bs0];
{Is,Last,Bs} ->
Blk = Blk0#b_blk{is=[Extract|Is],last=Last},
[{L,Blk}|Bs]
end;
coalesce_skips({L,#b_blk{is=Is0,last=Last0}=Blk0}, Bs0) ->
case coalesce_skips_is(Is0, Last0, Bs0) of
not_possible ->
[{L,Blk0}|Bs0];
{Is,Last,Bs} ->
Blk = Blk0#b_blk{is=Is,last=Last},
[{L,Blk}|Bs]
end.
coalesce_skips_is([#b_set{op=bs_match,
args=[#b_literal{val=skip},
Ctx0,Type,Flags,
#b_literal{val=Size0},
#b_literal{val=Unit0}]}=Skip0,
#b_set{op=succeeded}],
#b_br{succ=L2,fail=Fail}=Br0,
Bs0) when is_integer(Size0) ->
case Bs0 of
[{L2,#b_blk{is=[#b_set{op=bs_match,
dst=SkipDst,
args=[#b_literal{val=skip},_,_,_,
#b_literal{val=Size1},
#b_literal{val=Unit1}]},
#b_set{op=succeeded}=Succeeded],
last=#b_br{fail=Fail}=Br}}|Bs] when is_integer(Size1) ->
SkipBits = Size0 * Unit0 + Size1 * Unit1,
Skip = Skip0#b_set{dst=SkipDst,
args=[#b_literal{val=skip},Ctx0,
Type,Flags,
#b_literal{val=SkipBits},
#b_literal{val=1}]},
Is = [Skip,Succeeded],
{Is,Br,Bs};
[{L2,#b_blk{is=[#b_set{op=bs_test_tail,
args=[_Ctx,#b_literal{val=TailSkip}]}],
last=#b_br{succ=NextSucc,fail=Fail}}}|Bs] ->
SkipBits = Size0 * Unit0,
TestTail = Skip0#b_set{op=bs_test_tail,
args=[Ctx0,#b_literal{val=SkipBits+TailSkip}]},
Br = Br0#b_br{bool=TestTail#b_set.dst,succ=NextSucc},
Is = [TestTail],
{Is,Br,Bs};
_ ->
not_possible
end;
coalesce_skips_is(_, _, _) ->
not_possible.
%%%
%%% Short-cutting binary matching instructions.
%%%
ssa_opt_bsm_shortcut({#st{ssa=Linear}=St, FuncDb}) ->
Positions = bsm_positions(Linear, #{}),
case map_size(Positions) of
0 ->
%% No binary matching instructions.
{St, FuncDb};
_ ->
{St#st{ssa=bsm_shortcut(Linear, Positions)}, FuncDb}
end.
bsm_positions([{L,#b_blk{is=Is,last=Last}}|Bs], PosMap0) ->
PosMap = bsm_positions_is(Is, PosMap0),
case {Is,Last} of
{[#b_set{op=bs_test_tail,dst=Bool,args=[Ctx,#b_literal{val=Bits0}]}],
#b_br{bool=Bool,fail=Fail}} ->
Bits = Bits0 + map_get(Ctx, PosMap0),
bsm_positions(Bs, PosMap#{L=>{Bits,Fail}});
{_,_} ->
bsm_positions(Bs, PosMap)
end;
bsm_positions([], PosMap) -> PosMap.
bsm_positions_is([#b_set{op=bs_start_match,dst=New}|Is], PosMap0) ->
PosMap = PosMap0#{New=>0},
bsm_positions_is(Is, PosMap);
bsm_positions_is([#b_set{op=bs_match,dst=New,args=Args}|Is], PosMap0) ->
[_,Old|_] = Args,
#{Old:=Bits0} = PosMap0,
Bits = bsm_update_bits(Args, Bits0),
PosMap = PosMap0#{New=>Bits},
bsm_positions_is(Is, PosMap);
bsm_positions_is([_|Is], PosMap) ->
bsm_positions_is(Is, PosMap);
bsm_positions_is([], PosMap) -> PosMap.
bsm_update_bits([#b_literal{val=string},_,#b_literal{val=String}], Bits) ->
Bits + bit_size(String);
bsm_update_bits([#b_literal{val=utf8}|_], Bits) ->
Bits + 8;
bsm_update_bits([#b_literal{val=utf16}|_], Bits) ->
Bits + 16;
bsm_update_bits([#b_literal{val=utf32}|_], Bits) ->
Bits + 32;
bsm_update_bits([_,_,_,#b_literal{val=Sz},#b_literal{val=U}], Bits)
when is_integer(Sz) ->
Bits + Sz*U;
bsm_update_bits(_, Bits) -> Bits.
bsm_shortcut([{L,#b_blk{is=Is,last=Last0}=Blk}|Bs], PosMap) ->
case {Is,Last0} of
{[#b_set{op=bs_match,dst=New,args=[_,Old|_]},
#b_set{op=succeeded,dst=Bool,args=[New]}],
#b_br{bool=Bool,fail=Fail}} ->
case PosMap of
#{Old:=Bits,Fail:={TailBits,NextFail}} when Bits > TailBits ->
Last = Last0#b_br{fail=NextFail},
[{L,Blk#b_blk{last=Last}}|bsm_shortcut(Bs, PosMap)];
#{} ->
[{L,Blk}|bsm_shortcut(Bs, PosMap)]
end;
{_,_} ->
[{L,Blk}|bsm_shortcut(Bs, PosMap)]
end;
bsm_shortcut([], _PosMap) -> [].
%%%
%%% Eliminate redundant bs_test_unit2 instructions.
%%%
ssa_opt_bsm_units({#st{ssa=Linear}=St, FuncDb}) ->
{St#st{ssa=bsm_units(Linear, #{})}, FuncDb}.
bsm_units([{L,#b_blk{last=#b_br{succ=Succ,fail=Fail}}=Block0} | Bs], UnitMaps0) ->
UnitsIn = maps:get(L, UnitMaps0, #{}),
{Block, UnitsOut} = bsm_units_skip(Block0, UnitsIn),
UnitMaps1 = bsm_units_join(Succ, UnitsOut, UnitMaps0),
UnitMaps = bsm_units_join(Fail, UnitsIn, UnitMaps1),
[{L, Block} | bsm_units(Bs, UnitMaps)];
bsm_units([{L,#b_blk{last=#b_switch{fail=Fail,list=Switch}}=Block} | Bs], UnitMaps0) ->
UnitsIn = maps:get(L, UnitMaps0, #{}),
Labels = [Fail | [Lbl || {_Arg, Lbl} <- Switch]],
UnitMaps = foldl(fun(Lbl, UnitMaps) ->
bsm_units_join(Lbl, UnitsIn, UnitMaps)
end, UnitMaps0, Labels),
[{L, Block} | bsm_units(Bs, UnitMaps)];
bsm_units([{L, Block} | Bs], UnitMaps) ->
[{L, Block} | bsm_units(Bs, UnitMaps)];
bsm_units([], _UnitMaps) ->
[].
bsm_units_skip(Block, Units) ->
bsm_units_skip_1(Block#b_blk.is, Block, Units).
bsm_units_skip_1([#b_set{op=bs_start_match,dst=New}|_], Block, Units) ->
%% We bail early since there can't be more than one match per block.
{Block, Units#{ New => 1 }};
bsm_units_skip_1([#b_set{op=bs_match,
dst=New,
args=[#b_literal{val=skip},
Ctx,
#b_literal{val=binary},
_Flags,
#b_literal{val=all},
#b_literal{val=OpUnit}]}=Skip | Test],
Block0, Units) ->
[#b_set{op=succeeded,dst=Bool,args=[New]}] = Test, %Assertion.
#b_br{bool=Bool} = Last0 = Block0#b_blk.last, %Assertion.
CtxUnit = map_get(Ctx, Units),
if
CtxUnit rem OpUnit =:= 0 ->
Is = takewhile(fun(I) -> I =/= Skip end, Block0#b_blk.is),
Last = Last0#b_br{bool=#b_literal{val=true}},
Block = Block0#b_blk{is=Is,last=Last},
{Block, Units#{ New => CtxUnit }};
CtxUnit rem OpUnit =/= 0 ->
{Block0, Units#{ New => OpUnit, Ctx => OpUnit }}
end;
bsm_units_skip_1([#b_set{op=bs_match,dst=New,args=Args}|_], Block, Units) ->
[_,Ctx|_] = Args,
CtxUnit = map_get(Ctx, Units),
OpUnit = bsm_op_unit(Args),
{Block, Units#{ New => gcd(OpUnit, CtxUnit) }};
bsm_units_skip_1([_I | Is], Block, Units) ->
bsm_units_skip_1(Is, Block, Units);
bsm_units_skip_1([], Block, Units) ->
{Block, Units}.
bsm_op_unit([_,_,_,Size,#b_literal{val=U}]) ->
case Size of
#b_literal{val=Sz} when is_integer(Sz) -> Sz*U;
_ -> U
end;
bsm_op_unit([#b_literal{val=string},_,#b_literal{val=String}]) ->
bit_size(String);
bsm_op_unit([#b_literal{val=utf8}|_]) ->
8;
bsm_op_unit([#b_literal{val=utf16}|_]) ->
16;
bsm_op_unit([#b_literal{val=utf32}|_]) ->
32;
bsm_op_unit(_) ->
1.
%% Several paths can lead to the same match instruction and the inferred units
%% may differ between them, so we can only keep the information that is common
%% to all paths.
bsm_units_join(Lbl, MapA, UnitMaps0) when is_map_key(Lbl, UnitMaps0) ->
MapB = map_get(Lbl, UnitMaps0),
Merged = if
map_size(MapB) =< map_size(MapA) ->
bsm_units_join_1(maps:keys(MapB), MapA, MapB);
map_size(MapB) > map_size(MapA) ->
bsm_units_join_1(maps:keys(MapA), MapB, MapA)
end,
UnitMaps0#{Lbl := Merged};
bsm_units_join(Lbl, MapA, UnitMaps0) when MapA =/= #{} ->
UnitMaps0#{Lbl => MapA};
bsm_units_join(_Lbl, _MapA, UnitMaps0) ->
UnitMaps0.
bsm_units_join_1([Key | Keys], Left, Right) when is_map_key(Key, Left) ->
UnitA = map_get(Key, Left),
UnitB = map_get(Key, Right),
bsm_units_join_1(Keys, Left, Right#{Key := gcd(UnitA, UnitB)});
bsm_units_join_1([Key | Keys], Left, Right) ->
bsm_units_join_1(Keys, Left, maps:remove(Key, Right));
bsm_units_join_1([], _MapA, Right) ->
Right.
%%%
%%% Optimize binary construction.
%%%
%%% If an integer segment or a float segment has a literal size and
%%% a literal value, convert to a binary segment. Coalesce adjacent
%%% literal binary segments. Literal binary segments will be converted
%%% to bs_put_string instructions in later pass.
%%%
ssa_opt_bs_puts({#st{ssa=Linear0,cnt=Count0}=St, FuncDb}) ->
{Linear,Count} = opt_bs_puts(Linear0, Count0, []),
{St#st{ssa=Linear,cnt=Count}, FuncDb}.
opt_bs_puts([{L,#b_blk{is=Is}=Blk0}|Bs], Count0, Acc0) ->
case Is of
[#b_set{op=bs_put}=I0] ->
case opt_bs_put(L, I0, Blk0, Count0, Acc0) of
not_possible ->
opt_bs_puts(Bs, Count0, [{L,Blk0}|Acc0]);
{Count,Acc1} ->
Acc = opt_bs_puts_merge(Acc1),
opt_bs_puts(Bs, Count, Acc)
end;
_ ->
opt_bs_puts(Bs, Count0, [{L,Blk0}|Acc0])
end;
opt_bs_puts([], Count, Acc) ->
{reverse(Acc),Count}.
opt_bs_puts_merge([{L1,#b_blk{is=Is}=Blk0},{L2,#b_blk{is=AccIs}}=BAcc|Acc]) ->
case {AccIs,Is} of
{[#b_set{op=bs_put,
args=[#b_literal{val=binary},
#b_literal{},
#b_literal{val=Bin0},
#b_literal{val=all},
#b_literal{val=1}]}],
[#b_set{op=bs_put,
args=[#b_literal{val=binary},
#b_literal{},
#b_literal{val=Bin1},
#b_literal{val=all},
#b_literal{val=1}]}=I0]} ->
%% Coalesce the two segments to one.
Bin = <<Bin0/bitstring,Bin1/bitstring>>,
I = I0#b_set{args=bs_put_args(binary, Bin, all)},
Blk = Blk0#b_blk{is=[I]},
[{L2,Blk}|Acc];
{_,_} ->
[{L1,Blk0},BAcc|Acc]
end.
opt_bs_put(L, I0, #b_blk{last=Br0}=Blk0, Count0, Acc) ->
case opt_bs_put(I0) of
[Bin] when is_bitstring(Bin) ->
Args = bs_put_args(binary, Bin, all),
I = I0#b_set{args=Args},
Blk = Blk0#b_blk{is=[I]},
{Count0,[{L,Blk}|Acc]};
[{int,Int,Size},Bin] when is_bitstring(Bin) ->
%% Construct a bs_put_integer instruction following
%% by a bs_put_binary instruction.
IntArgs = bs_put_args(integer, Int, Size),
BinArgs = bs_put_args(binary, Bin, all),
{BinL,BinVarNum} = {Count0,Count0+1},
Count = Count0 + 2,
BinVar = #b_var{name={'@ssa_bool',BinVarNum}},
BinI = I0#b_set{dst=BinVar,args=BinArgs},
BinBlk = Blk0#b_blk{is=[BinI],last=Br0#b_br{bool=BinVar}},
IntI = I0#b_set{args=IntArgs},
IntBlk = Blk0#b_blk{is=[IntI],last=Br0#b_br{succ=BinL}},
{Count,[{BinL,BinBlk},{L,IntBlk}|Acc]};
not_possible ->
not_possible
end.
opt_bs_put(#b_set{args=[#b_literal{val=binary},_,#b_literal{val=Val},
#b_literal{val=all},#b_literal{val=Unit}]})
when is_bitstring(Val) ->
if
bit_size(Val) rem Unit =:= 0 ->
[Val];
true ->
not_possible
end;
opt_bs_put(#b_set{args=[#b_literal{val=Type},#b_literal{val=Flags},
#b_literal{val=Val},#b_literal{val=Size},
#b_literal{val=Unit}]}=I0) when is_integer(Size) ->
EffectiveSize = Size * Unit,
if
EffectiveSize > 0 ->
case {Type,opt_bs_put_endian(Flags)} of
{integer,big} when is_integer(Val) ->
if
EffectiveSize < 64 ->
[<<Val:EffectiveSize>>];
true ->
opt_bs_put_split_int(Val, EffectiveSize)
end;
{integer,little} when is_integer(Val), EffectiveSize < 128 ->
%% To avoid an explosion in code size, we only try
%% to optimize relatively small fields.
<<Int:EffectiveSize>> = <<Val:EffectiveSize/little>>,
Args = bs_put_args(Type, Int, EffectiveSize),
I = I0#b_set{args=Args},
opt_bs_put(I);
{binary,_} when is_bitstring(Val) ->
<<Bitstring:EffectiveSize/bits,_/bits>> = Val,
[Bitstring];
{float,Endian} ->
try
[opt_bs_put_float(Val, EffectiveSize, Endian)]
catch error:_ ->
not_possible
end;
{_,_} ->
not_possible
end;
true ->
not_possible
end;
opt_bs_put(#b_set{}) -> not_possible.
opt_bs_put_float(N, Sz, Endian) ->
case Endian of
big -> <<N:Sz/big-float-unit:1>>;
little -> <<N:Sz/little-float-unit:1>>
end.
bs_put_args(Type, Val, Size) ->
[#b_literal{val=Type},
#b_literal{val=[unsigned,big]},
#b_literal{val=Val},
#b_literal{val=Size},
#b_literal{val=1}].
opt_bs_put_endian([big=E|_]) -> E;
opt_bs_put_endian([little=E|_]) -> E;
opt_bs_put_endian([native=E|_]) -> E;
opt_bs_put_endian([_|Fs]) -> opt_bs_put_endian(Fs).
opt_bs_put_split_int(Int, Size) ->
Pos = opt_bs_put_split_int_1(Int, 0, Size - 1),
UpperSize = Size - Pos,
if
Pos =:= 0 ->
%% Value is 0 or -1 -- keep the original instruction.
not_possible;
UpperSize < 64 ->
%% No or few leading zeroes or ones.
[<<Int:Size>>];
true ->
%% There are 64 or more leading ones or zeroes in
%% the resulting binary. Split into two separate
%% segments to avoid an explosion in code size.
[{int,Int bsr Pos,UpperSize},<<Int:Pos>>]
end.
opt_bs_put_split_int_1(_Int, L, R) when L > R ->
8 * ((L + 7) div 8);
opt_bs_put_split_int_1(Int, L, R) ->
Mid = (L + R) div 2,
case Int bsr Mid of
Upper when Upper =:= 0; Upper =:= -1 ->
opt_bs_put_split_int_1(Int, L, Mid - 1);
_ ->
opt_bs_put_split_int_1(Int, Mid + 1, R)
end.
%%%
%%% Optimize expressions such as "tuple_size(Var) =:= 2".
%%%
%%% Consider this code:
%%%
%%% 0:
%%% .
%%% .
%%% .
%%% Size = bif:tuple_size Var
%%% BoolVar1 = succeeded Size
%%% br BoolVar1, label 4, label 3
%%%
%%% 4:
%%% BoolVar2 = bif:'=:=' Size, literal 2
%%% br BoolVar2, label 6, label 3
%%%
%%% 6: ... %% OK
%%%
%%% 3: ... %% Not a tuple of size 2
%%%
%%% The BEAM code will look this:
%%%
%%% {bif,tuple_size,{f,3},[{x,0}],{x,0}}.
%%% {test,is_eq_exact,{f,3},[{x,0},{integer,2}]}.
%%%
%%% Better BEAM code will be produced if we transform the
%%% code like this:
%%%
%%% 0:
%%% .
%%% .
%%% .
%%% br label 10
%%%
%%% 10:
%%% NewBoolVar = bif:is_tuple Var
%%% br NewBoolVar, label 11, label 3
%%%
%%% 11:
%%% Size = bif:tuple_size Var
%%% br label 4
%%%
%%% 4:
%%% BoolVar2 = bif:'=:=' Size, literal 2
%%% br BoolVar2, label 6, label 3
%%%
%%% (The key part of the transformation is the removal of
%%% the 'succeeded' instruction to signal to the code generator
%%% that the call to tuple_size/1 can't fail.)
%%%
%%% The BEAM code will look like:
%%%
%%% {test,is_tuple,{f,3},[{x,0}]}.
%%% {test_arity,{f,3},[{x,0},2]}.
%%%
%%% Those two instructions will be combined into a single
%%% is_tuple_of_arity instruction by the loader.
%%%
ssa_opt_tuple_size({#st{ssa=Linear0,cnt=Count0}=St, FuncDb}) ->
%% This optimization is only safe in guards, as prefixing tuple_size with
%% an is_tuple check prevents it from throwing an exception.
NonGuards = non_guards(Linear0),
{Linear,Count} = opt_tup_size(Linear0, NonGuards, Count0, []),
{St#st{ssa=Linear,cnt=Count}, FuncDb}.
opt_tup_size([{L,#b_blk{is=Is,last=Last}=Blk}|Bs], NonGuards, Count0, Acc0) ->
case {Is,Last} of
{[#b_set{op={bif,'=:='},dst=Bool,args=[#b_var{}=Tup,#b_literal{val=Arity}]}],
#b_br{bool=Bool}} when is_integer(Arity), Arity >= 0 ->
{Acc,Count} = opt_tup_size_1(Tup, L, NonGuards, Count0, Acc0),
opt_tup_size(Bs, NonGuards, Count, [{L,Blk}|Acc]);
{_,_} ->
opt_tup_size(Bs, NonGuards, Count0, [{L,Blk}|Acc0])
end;
opt_tup_size([], _NonGuards, Count, Acc) ->
{reverse(Acc),Count}.
opt_tup_size_1(Size, EqL, NonGuards, Count0, [{L,Blk0}|Acc]) ->
#b_blk{is=Is0,last=Last} = Blk0,
case Last of
#b_br{bool=Bool,succ=EqL,fail=Fail} ->
case gb_sets:is_member(Fail, NonGuards) of
true ->
{[{L,Blk0}|Acc],Count0};
false ->
case opt_tup_size_is(Is0, Bool, Size, []) of
none ->
{[{L,Blk0}|Acc],Count0};
{PreIs,TupleSizeIs,Tuple} ->
opt_tup_size_2(PreIs, TupleSizeIs, L, EqL,
Tuple, Fail, Count0, Acc)
end
end;
_ ->
{[{L,Blk0}|Acc],Count0}
end;
opt_tup_size_1(_, _, _, Count, Acc) ->
{Acc,Count}.
opt_tup_size_2(PreIs, TupleSizeIs, PreL, EqL, Tuple, Fail, Count0, Acc) ->
IsTupleL = Count0,
TupleSizeL = Count0 + 1,
Bool = #b_var{name={'@ssa_bool',Count0+2}},
Count = Count0 + 3,
True = #b_literal{val=true},
PreBr = #b_br{bool=True,succ=IsTupleL,fail=IsTupleL},
PreBlk = #b_blk{is=PreIs,last=PreBr},
IsTupleIs = [#b_set{op={bif,is_tuple},dst=Bool,args=[Tuple]}],
IsTupleBr = #b_br{bool=Bool,succ=TupleSizeL,fail=Fail},
IsTupleBlk = #b_blk{is=IsTupleIs,last=IsTupleBr},
TupleSizeBr = #b_br{bool=True,succ=EqL,fail=EqL},
TupleSizeBlk = #b_blk{is=TupleSizeIs,last=TupleSizeBr},
{[{TupleSizeL,TupleSizeBlk},
{IsTupleL,IsTupleBlk},
{PreL,PreBlk}|Acc],Count}.
opt_tup_size_is([#b_set{op={bif,tuple_size},dst=Size,args=[Tuple]}=I,
#b_set{op=succeeded,dst=Bool,args=[Size]}],
Bool, Size, Acc) ->
{reverse(Acc),[I],Tuple};
opt_tup_size_is([I|Is], Bool, Size, Acc) ->
opt_tup_size_is(Is, Bool, Size, [I|Acc]);
opt_tup_size_is([], _, _, _Acc) -> none.
%%%
%%% Optimize #b_switch{} instructions.
%%%
%%% If the argument for a #b_switch{} comes from a phi node with all
%%% literals, any values in the switch list which are not in the phi
%%% node can be removed.
%%%
%%% If the values in the phi node and switch list are the same,
%%% the failure label can't be reached and be eliminated.
%%%
%%% A #b_switch{} with only one value can be rewritten to
%%% a #b_br{}. A switch that only verifies that the argument
%%% is 'true' or 'false' can be rewritten to a is_boolean test.
%%%
ssa_opt_sw({#st{ssa=Linear0,cnt=Count0}=St, FuncDb}) ->
{Linear,Count} = opt_sw(Linear0, Count0, []),
{St#st{ssa=Linear,cnt=Count}, FuncDb}.
opt_sw([{L,#b_blk{is=Is,last=#b_switch{}=Sw0}=Blk0}|Bs], Count0, Acc) ->
%% Ensure that no label in the switch list is the same
%% as the failure label.
#b_switch{fail=Fail,list=List0} = Sw0,
List = [{Val,Lbl} || {Val,Lbl} <- List0, Lbl =/= Fail],
Sw1 = beam_ssa:normalize(Sw0#b_switch{list=List}),
case Sw1 of
#b_switch{arg=Arg,fail=Fail,list=[{Lit,Lbl}]} ->
%% Rewrite a single value switch to a br.
Bool = #b_var{name={'@ssa_bool',Count0}},
Count = Count0 + 1,
IsEq = #b_set{op={bif,'=:='},dst=Bool,args=[Arg,Lit]},
Br = #b_br{bool=Bool,succ=Lbl,fail=Fail},
Blk = Blk0#b_blk{is=Is++[IsEq],last=Br},
opt_sw(Bs, Count, [{L,Blk}|Acc]);
#b_switch{arg=Arg,fail=Fail,
list=[{#b_literal{val=B1},Lbl},{#b_literal{val=B2},Lbl}]}
when B1 =:= not B2 ->
%% Replace with is_boolean test.
Bool = #b_var{name={'@ssa_bool',Count0}},
Count = Count0 + 1,
IsBool = #b_set{op={bif,is_boolean},dst=Bool,args=[Arg]},
Br = #b_br{bool=Bool,succ=Lbl,fail=Fail},
Blk = Blk0#b_blk{is=Is++[IsBool],last=Br},
opt_sw(Bs, Count, [{L,Blk}|Acc]);
Sw0 ->
opt_sw(Bs, Count0, [{L,Blk0}|Acc]);
Sw ->
Blk = Blk0#b_blk{last=Sw},
opt_sw(Bs, Count0, [{L,Blk}|Acc])
end;
opt_sw([{L,#b_blk{}=Blk}|Bs], Count, Acc) ->
opt_sw(Bs, Count, [{L,Blk}|Acc]);
opt_sw([], Count, Acc) ->
{reverse(Acc),Count}.
%%%
%%% Merge blocks.
%%%
ssa_opt_merge_blocks({#st{ssa=Blocks}=St, FuncDb}) ->
Preds = beam_ssa:predecessors(Blocks),
Merged = merge_blocks_1(beam_ssa:rpo(Blocks), Preds, Blocks),
{St#st{ssa=Merged}, FuncDb}.
merge_blocks_1([L|Ls], Preds0, Blocks0) ->
case Preds0 of
#{L:=[P]} ->
#{P:=Blk0,L:=Blk1} = Blocks0,
case is_merge_allowed(L, Blk0, Blk1) of
true ->
#b_blk{is=Is0} = Blk0,
#b_blk{is=Is1} = Blk1,
verify_merge_is(Is1),
Is = Is0 ++ Is1,
Blk = Blk1#b_blk{is=Is},
Blocks1 = maps:remove(L, Blocks0),
Blocks2 = Blocks1#{P:=Blk},
Successors = beam_ssa:successors(Blk),
Blocks = beam_ssa:update_phi_labels(Successors, L, P, Blocks2),
Preds = merge_update_preds(Successors, L, P, Preds0),
merge_blocks_1(Ls, Preds, Blocks);
false ->
merge_blocks_1(Ls, Preds0, Blocks0)
end;
#{} ->
merge_blocks_1(Ls, Preds0, Blocks0)
end;
merge_blocks_1([], _Preds, Blocks) -> Blocks.
merge_update_preds([L|Ls], From, To, Preds0) ->
Ps = [rename_label(P, From, To) || P <- map_get(L, Preds0)],
Preds = Preds0#{L:=Ps},
merge_update_preds(Ls, From, To, Preds);
merge_update_preds([], _, _, Preds) -> Preds.
rename_label(From, From, To) -> To;
rename_label(Lbl, _, _) -> Lbl.
verify_merge_is([#b_set{op=Op}|_]) ->
%% The merged block has only one predecessor, so it should not have any phi
%% nodes.
true = Op =/= phi; %Assertion.
verify_merge_is(_) ->
ok.
is_merge_allowed(_, #b_blk{}, #b_blk{is=[#b_set{op=peek_message}|_]}) ->
false;
is_merge_allowed(_, #b_blk{}, #b_blk{is=[#b_set{op=exception_trampoline}|_]}) ->
false;
is_merge_allowed(_, #b_blk{is=[#b_set{op=exception_trampoline}|_]}, #b_blk{}) ->
false;
is_merge_allowed(L, #b_blk{last=#b_br{}}=Blk, #b_blk{is=Is}) ->
%% The predecessor block must have exactly one successor (L) for
%% the merge to be safe.
case beam_ssa:successors(Blk) of
[L] ->
case Is of
[#b_set{op=phi,args=[_]}|_] ->
%% The type optimizer pass must have been
%% turned off, since it would have removed this
%% redundant phi node. Refuse to merge the blocks
%% to ensure that this phi node remains at the
%% beginning of a block.
false;
_ ->
true
end;
[_|_] ->
false
end;
is_merge_allowed(_, #b_blk{last=#b_switch{}}, #b_blk{}) ->
false.
%%%
%%% When a tuple is matched, the pattern matching compiler generates a
%%% get_tuple_element instruction for every tuple element that will
%%% ever be used in the rest of the function. That often forces the
%%% extracted tuple elements to be stored in Y registers until it's
%%% time to use them. It could also mean that there could be execution
%%% paths that will never use the extracted elements.
%%%
%%% This optimization will sink get_tuple_element instructions, that
%%% is, move them forward in the execution stream to the last possible
%%% block there they will still dominate all uses. That may reduce the
%%% size of stack frames, reduce register shuffling, and avoid
%%% extracting tuple elements on execution paths that never use the
%%% extracted values.
%%%
ssa_opt_sink({#st{ssa=Linear}=St, FuncDb}) ->
%% Create a map with all variables that define get_tuple_element
%% instructions. The variable name map to the block it is defined in.
case def_blocks(Linear) of
[] ->
%% No get_tuple_element instructions, so there is nothing to do.
{St, FuncDb};
[_|_]=Defs0 ->
Defs = maps:from_list(Defs0),
{do_ssa_opt_sink(Defs, St), FuncDb}
end.
do_ssa_opt_sink(Defs, #st{ssa=Linear}=St) ->
Blocks0 = maps:from_list(Linear),
%% Now find all the blocks that use variables defined by get_tuple_element
%% instructions.
Used = used_blocks(Linear, Defs, []),
%% Calculate dominators.
{Dom,Numbering} = beam_ssa:dominators(Blocks0),
%% It is not safe to move get_tuple_element instructions to blocks
%% that begin with certain instructions. It is also unsafe to move
%% the instructions into any part of a receive. To avoid such
%% unsafe moves, pretend that the unsuitable blocks are not
%% dominators.
Unsuitable = unsuitable(Linear, Blocks0),
%% Calculate new positions for get_tuple_element instructions. The new
%% position is a block that dominates all uses of the variable.
DefLoc = new_def_locations(Used, Defs, Dom, Numbering, Unsuitable),
%% Now move all suitable get_tuple_element instructions to their
%% new blocks.
Blocks = foldl(fun({V,To}, A) ->
From = map_get(V, Defs),
move_defs(V, From, To, A)
end, Blocks0, DefLoc),
St#st{ssa=beam_ssa:linearize(Blocks)}.
def_blocks([{L,#b_blk{is=Is}}|Bs]) ->
def_blocks_is(Is, L, def_blocks(Bs));
def_blocks([]) -> [].
def_blocks_is([#b_set{op=get_tuple_element,dst=Dst}|Is], L, Acc) ->
def_blocks_is(Is, L, [{Dst,L}|Acc]);
def_blocks_is([_|Is], L, Acc) ->
def_blocks_is(Is, L, Acc);
def_blocks_is([], _, Acc) -> Acc.
used_blocks([{L,Blk}|Bs], Def, Acc0) ->
Used = beam_ssa:used(Blk),
Acc = [{V,L} || V <- Used, maps:is_key(V, Def)] ++ Acc0,
used_blocks(Bs, Def, Acc);
used_blocks([], _Def, Acc) ->
rel2fam(Acc).
%% unsuitable(Linear, Blocks) -> Unsuitable.
%% Return an ordset of block labels for the blocks that are not
%% suitable for sinking of get_tuple_element instructions.
unsuitable(Linear, Blocks) ->
Predecessors = beam_ssa:predecessors(Blocks),
Unsuitable0 = unsuitable_1(Linear),
Unsuitable1 = unsuitable_recv(Linear, Blocks, Predecessors),
gb_sets:from_list(Unsuitable0 ++ Unsuitable1).
unsuitable_1([{L,#b_blk{is=[#b_set{op=Op}|_]}}|Bs]) ->
Unsuitable = case Op of
bs_extract -> true;
bs_put -> true;
exception_trampoline -> true;
{float,_} -> true;
landingpad -> true;
peek_message -> true;
wait_timeout -> true;
_ -> false
end,
case Unsuitable of
true ->
[L|unsuitable_1(Bs)];
false ->
unsuitable_1(Bs)
end;
unsuitable_1([{_,#b_blk{}}|Bs]) ->
unsuitable_1(Bs);
unsuitable_1([]) -> [].
unsuitable_recv([{L,#b_blk{is=[#b_set{op=Op}|_]}}|Bs], Blocks, Predecessors) ->
Ls = case Op of
remove_message ->
unsuitable_loop(L, Blocks, Predecessors);
recv_next ->
unsuitable_loop(L, Blocks, Predecessors);
_ ->
[]
end,
Ls ++ unsuitable_recv(Bs, Blocks, Predecessors);
unsuitable_recv([_|Bs], Blocks, Predecessors) ->
unsuitable_recv(Bs, Blocks, Predecessors);
unsuitable_recv([], _, _) -> [].
unsuitable_loop(L, Blocks, Predecessors) ->
unsuitable_loop(L, Blocks, Predecessors, []).
unsuitable_loop(L, Blocks, Predecessors, Acc) ->
Ps = map_get(L, Predecessors),
unsuitable_loop_1(Ps, Blocks, Predecessors, Acc).
unsuitable_loop_1([P|Ps], Blocks, Predecessors, Acc0) ->
case map_get(P, Blocks) of
#b_blk{is=[#b_set{op=peek_message}|_]} ->
unsuitable_loop_1(Ps, Blocks, Predecessors, Acc0);
#b_blk{} ->
case ordsets:is_element(P, Acc0) of
false ->
Acc1 = ordsets:add_element(P, Acc0),
Acc = unsuitable_loop(P, Blocks, Predecessors, Acc1),
unsuitable_loop_1(Ps, Blocks, Predecessors, Acc);
true ->
unsuitable_loop_1(Ps, Blocks, Predecessors, Acc0)
end
end;
unsuitable_loop_1([], _, _, Acc) -> Acc.
%% new_def_locations([{Variable,[UsedInBlock]}|Vs], Defs,
%% Dominators, Numbering, Unsuitable) ->
%% [{Variable,NewDefinitionBlock}]
%%
%% Calculate new locations for get_tuple_element instructions. For
%% each variable, the new location is a block that dominates all uses
%% of the variable and as near to the uses of as possible.
new_def_locations([{V,UsedIn}|Vs], Defs, Dom, Numbering, Unsuitable) ->
DefIn = map_get(V, Defs),
Common = common_dominator(UsedIn, Dom, Numbering, Unsuitable),
case member(Common, map_get(DefIn, Dom)) of
true ->
%% The common dominator is either DefIn or an
%% ancestor of DefIn.
new_def_locations(Vs, Defs, Dom, Numbering, Unsuitable);
false ->
%% We have found a suitable descendant of DefIn,
%% to which the get_tuple_element instruction can
%% be sunk.
[{V,Common}|new_def_locations(Vs, Defs, Dom, Numbering, Unsuitable)]
end;
new_def_locations([], _, _, _, _) -> [].
common_dominator(Ls0, Dom, Numbering, Unsuitable) ->
[Common|_] = beam_ssa:common_dominators(Ls0, Dom, Numbering),
case gb_sets:is_member(Common, Unsuitable) of
true ->
%% It is not allowed to place the instruction here. Try
%% to find another suitable dominating block by going up
%% one step in the dominator tree.
[Common,OneUp|_] = map_get(Common, Dom),
common_dominator([OneUp], Dom, Numbering, Unsuitable);
false ->
Common
end.
%% Move get_tuple_element instructions to their new locations.
move_defs(V, From, To, Blocks) ->
#{From:=FromBlk0,To:=ToBlk0} = Blocks,
{Def,FromBlk} = remove_def(V, FromBlk0),
try insert_def(V, Def, ToBlk0) of
ToBlk ->
%%io:format("~p: ~p => ~p\n", [V,From,To]),
Blocks#{From:=FromBlk,To:=ToBlk}
catch
throw:not_possible ->
Blocks
end.
remove_def(V, #b_blk{is=Is0}=Blk) ->
{Def,Is} = remove_def_is(Is0, V, []),
{Def,Blk#b_blk{is=Is}}.
remove_def_is([#b_set{dst=Dst}=Def|Is], Dst, Acc) ->
{Def,reverse(Acc, Is)};
remove_def_is([I|Is], Dst, Acc) ->
remove_def_is(Is, Dst, [I|Acc]).
insert_def(V, Def, #b_blk{is=Is0}=Blk) ->
Is = insert_def_is(Is0, V, Def),
Blk#b_blk{is=Is}.
insert_def_is([#b_set{op=phi}=I|Is], V, Def) ->
case member(V, beam_ssa:used(I)) of
true ->
throw(not_possible);
false ->
[I|insert_def_is(Is, V, Def)]
end;
insert_def_is([#b_set{op=Op}=I|Is]=Is0, V, Def) ->
Action0 = case Op of
call -> beyond;
'catch_end' -> beyond;
timeout -> beyond;
_ -> here
end,
Action = case Is of
[#b_set{op=succeeded}|_] -> here;
_ -> Action0
end,
case Action of
beyond ->
case member(V, beam_ssa:used(I)) of
true ->
%% The variable is used by this instruction. We must
%% place the definition before this instruction.
[Def|Is0];
false ->
%% Place it beyond the current instruction.
[I|insert_def_is(Is, V, Def)]
end;
here ->
[Def|Is0]
end;
insert_def_is([], _V, Def) ->
[Def].
%%%
%%% Order consecutive get_tuple_element instructions in ascending
%%% position order. This will give the loader more opportunities
%%% for combining get_tuple_element instructions.
%%%
ssa_opt_get_tuple_element({#st{ssa=Blocks0}=St, FuncDb}) ->
Blocks = opt_get_tuple_element(maps:to_list(Blocks0), Blocks0),
{St#st{ssa=Blocks}, FuncDb}.
opt_get_tuple_element([{L,#b_blk{is=Is0}=Blk0}|Bs], Blocks) ->
case opt_get_tuple_element_is(Is0, false, []) of
{yes,Is} ->
Blk = Blk0#b_blk{is=Is},
opt_get_tuple_element(Bs, Blocks#{L:=Blk});
no ->
opt_get_tuple_element(Bs, Blocks)
end;
opt_get_tuple_element([], Blocks) -> Blocks.
opt_get_tuple_element_is([#b_set{op=get_tuple_element,
args=[#b_var{}=Src,_]}=I0|Is0],
_AnyChange, Acc) ->
{GetIs0,Is} = collect_get_tuple_element(Is0, Src, [I0]),
GetIs1 = sort([{Pos,I} || #b_set{args=[_,Pos]}=I <- GetIs0]),
GetIs = [I || {_,I} <- GetIs1],
opt_get_tuple_element_is(Is, true, reverse(GetIs, Acc));
opt_get_tuple_element_is([I|Is], AnyChange, Acc) ->
opt_get_tuple_element_is(Is, AnyChange, [I|Acc]);
opt_get_tuple_element_is([], AnyChange, Acc) ->
case AnyChange of
true -> {yes,reverse(Acc)};
false -> no
end.
collect_get_tuple_element([#b_set{op=get_tuple_element,
args=[Src,_]}=I|Is], Src, Acc) ->
collect_get_tuple_element(Is, Src, [I|Acc]);
collect_get_tuple_element(Is, _Src, Acc) ->
{Acc,Is}.
%%%
%%% Common utilities.
%%%
gcd(A, B) ->
case A rem B of
0 -> B;
X -> gcd(B, X)
end.
non_guards(Linear) ->
gb_sets:from_list(non_guards_1(Linear)).
non_guards_1([{L,#b_blk{is=Is}}|Bs]) ->
case Is of
[#b_set{op=exception_trampoline}|_] ->
[L | non_guards_1(Bs)];
[#b_set{op=landingpad}|_] ->
[L | non_guards_1(Bs)];
_ ->
non_guards_1(Bs)
end;
non_guards_1([]) ->
[?EXCEPTION_BLOCK].
rel2fam(S0) ->
S1 = sofs:relation(S0),
S = sofs:rel2fam(S1),
sofs:to_external(S).
sub(I, Sub) ->
beam_ssa:normalize(sub_1(I, Sub)).
sub_1(#b_set{op=phi,args=Args}=I, Sub) ->
I#b_set{args=[{sub_arg(A, Sub),P} || {A,P} <- Args]};
sub_1(#b_set{args=Args}=I, Sub) ->
I#b_set{args=[sub_arg(A, Sub) || A <- Args]};
sub_1(#b_br{bool=#b_var{}=Old}=Br, Sub) ->
New = sub_arg(Old, Sub),
Br#b_br{bool=New};
sub_1(#b_switch{arg=#b_var{}=Old}=Sw, Sub) ->
New = sub_arg(Old, Sub),
Sw#b_switch{arg=New};
sub_1(#b_ret{arg=#b_var{}=Old}=Ret, Sub) ->
New = sub_arg(Old, Sub),
Ret#b_ret{arg=New};
sub_1(Last, _) -> Last.
sub_arg(#b_remote{mod=Mod,name=Name}=Rem, Sub) ->
Rem#b_remote{mod=sub_arg(Mod, Sub),name=sub_arg(Name, Sub)};
sub_arg(Old, Sub) ->
case Sub of
#{Old:=New} -> New;
#{} -> Old
end.
new_var(#b_var{name={Base,N}}, Count) ->
true = is_integer(N), %Assertion.
{#b_var{name={Base,Count}},Count+1};
new_var(#b_var{name=Base}, Count) ->
{#b_var{name={Base,Count}},Count+1}.
