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Prior to 294d66a295f6c2101fe3c2da630979ad4e736c08 there wasn't much
point to keeping track of tuple element types; they were only known
when we had inserted or extracted values from a tuple, and in
neither case was it likely that we'd extract the same values again.
It makes a lot more sense to do so now that type optimizations are
applied across functions; if we return a tuple it's very likely
that its elements will be extracted soon after, and knowing their
types lets us eliminate more type checks.
Co-authored-by: Björn Gustavsson <[email protected]>
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To improve compilation times, beam_ssa_type keeps track of variables
that are only used once and don't keep types for those variables. As
currently implemented, it turns to be unsafe. Change it to only keep
track of variables that are only used in the terminator of the block
they are defined in.
https://bugs.erlang.org/browse/ERL-840
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This commit lets the type optimization pass work across functions,
tracking return and argument types to eliminate redundant tests.
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A switch is equivalent to a series of '=:=', so we have to subtract
each value individually from the type. Subtracting a join risks
removing too much type information, and managed to narrow "number"
into "float" in the attached test case.
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The beam_ssa_type pass would leave redundant 'succeeded' instructions,
and depend on the live optimization pass to remove them.
Update beam_ssa_type to remove redundant 'succeeded' instructions.
This will not improve the generated code, but will improve compilation
times since it eliminates instructions and variables.
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Improve type optimizations
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Introduce subtraction of types to allow some redundant tests to be
eliminated.
Consider this function:
foo(L) when is_list(L) ->
case L of
[_|_] -> non_empty;
[] -> empty
end.
After entering the body of the function, L is known to be either
a cons cell or nil (otherwise the is_list/1 guard would have failed).
If the L is not a cons cell, it must be nil. Therefore, the test
for nil in the second clause of the case can be eliminated.
Here is the SSA code with some additonal comments for the function
before the optimization:
function t:foo(_0) {
0:
@ssa_bool = bif:is_list _0
br @ssa_bool, label 4, label 3
4:
%% _0 is now a list (cons or nil).
@ssa_bool:8 = is_nonempty_list _0
br @ssa_bool:8, label 9, label 7
9:
ret literal non_empty
7:
%% _0 is not a cons (or we wouldn't be here).
%% Subtracting cons from the previously known type list
%% gives that _0 must be nil.
@ssa_bool:10 = bif:'=:=' _0, literal []
br @ssa_bool:10, label 11, label 6
11:
ret literal empty
6:
_6 = put_tuple literal case_clause, _0
%% t.erl:5
@ssa_ret:12 = call remote (literal erlang):(literal error)/1, _6
ret @ssa_ret:12
3:
_9 = put_list _0, literal []
%% t.erl:4
@ssa_ret:13 = call remote (literal erlang):(literal error)/2, literal function_clause, _9
ret @ssa_ret:13
}
Type subtraction gives us that _0 must be nil in block 7, allowing us to
remove the comparison of _0 with nil. The code for the function can be simplified
to:
function t:foo(_0) {
0:
@ssa_bool = bif:is_list _0
br @ssa_bool, label 4, label 3
4:
@ssa_bool:8 = is_nonempty_list _0
br @ssa_bool:8, label 9, label 11
9:
ret literal non_empty
11:
ret literal empty
3:
_9 = put_list _0, literal []
%% t.erl:4
@ssa_ret:13 = call remote (literal erlang):(literal error)/2, literal function_clause, _9
ret @ssa_ret:13
}
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When an instruction has been eliminated, the 'succeeded' instruction must
be eliminated.
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The type analysis pass (`beam_ssa_type`) keeps the type information
for all variables that are in scope. For huge functions, the
`join_types/2` function could get really slow when joining two
maps with thousands of variables in each.
Use a conservative approach to discard type information for
variables only used once by a `br` or `switch` in the same
block as the variable is defined in.
This approach reduces the runtime for the `beam_ssa_type` pass
from a few minutes down to few seconds for this module:
https://github.com/aggelgian/cuter/blob/master/src/cuter_binlib.erl
Rejected approach: Calculate liveness information for all variables
and discard type information for any variable that would not be
used again. That turned out to not work because some optimizations
would invalidate the liveness (in particular, substitutions could
lengthen the lifetime for a variable). Trying to update the
liveness information when doing the optimizations would be tricky.
Noticed-by: Kostis Sagonas
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This commit improves the bit-syntax match optimization pass,
leveraging the new SSA intermediate format to perform much more
aggressive optimizations. Some highlights:
* Watch contexts can be reused even after being passed to a
function or being used in a try block.
* Sub-binaries are no longer eagerly extracted, making it far
easier to keep "happy paths" free from binary creation.
* Trivial wrapper functions no longer disable context reuse.
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We chose to refer to variables through their var_name() because we
anticipated the need to annotate them, but it turned out we didn't
really need that, and many things become a lot cleaner if the
entire #b_var{} is used to represent variables.
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In beam_ssa_type, do substitutions similar to what ssa_opt_misc does
to get rid of variables that evaluate to constant values. That
somewhat simplifies the code of beam_ssa_type, and could improve
performance of the compiler since instructions and variables are
eliminated, reducing the amount of work for later passes.
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Remove the following clause from the `fun` clauses in arith_op_types/2
because it cannot possibly match:
(_, any) -> number;
Here is why it cannot match:
The second argument is the accumulator for lists:foldl/3.
Its initial value is `unknown`.
None of the clauses will update the accumulator to `any`, including
the clause that matches `any` in the first argument -- it will set the
accumulator to `number`.
Thus, the accumulator (second argument) can never be `any` and
the clause can never match. QED.
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v3_codegen is replaced by three new passes:
* beam_kernel_to_ssa which translates the Kernel Erlang format
to a new SSA-based intermediate format.
* beam_ssa_pre_codegen which prepares the SSA-based format
for code generation, including register allocation. Registers
are allocated using the linear scan algorithm.
* beam_ssa_codegen which generates BEAM assembly code from the
SSA-based format.
It easier and more effective to optimize the SSA-based format before X
and Y registers have been assigned. The current optimization passes
constantly have to make sure no "holes" in the X register assignments
are created (that is, that no X register becomes undefined that an
allocation instruction depends on).
This commit also introduces the following optimizations:
* Replacing of tuple matching of records with the is_tagged_tuple
instruction. (Replacing beam_record.)
* Sinking of get_tuple_element instructions to just before the first
use of the extracted values. As well as potentially avoiding
extracting tuple elements when they are not actually used on all
executions paths, this optimization could also reduce the number
values that will need to be stored in Y registers. (Similar to
beam_reorder, but more effective.)
* Live optimizations, removing the definition of a variable that is
not subsequently used (provided that the operation has no side
effects), as well strength reduction of binary matching by replacing
the extraction of value from a binary with a skip instruction. (Used
to be done by beam_block, beam_utils, and v3_codegen.)
* Removal of redundant bs_restore2 instructions. (Formerly done
by beam_bs.)
* Type-based optimizations across branches. More effective than
the old beam_type pass that only did type-based optimizations in
basic blocks.
* Optimization of floating point instructions. (Formerly done
by beam_type.)
* Optimization of receive statements to introduce recv_mark and
recv_set instructions. More effective with far fewer restrictions
on what instructions are allowed between creating the reference
and entering the receive statement.
* Common subexpression elimination. (Formerly done by beam_block.)
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