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Preemptively fail operation with badarg if the replacement object
might have a different key.
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Refactor existing solution into a common iteration loop parameterized
using stateful callbacks.
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The existing implementation presented both
semantic inconsistencies and performance issues.
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HiPE: Range splitting register allocation
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* sverker/ets-table-identifiers:
observer: Polish crashdump viewer for ETS
observer: Polish Table Viewer tab
stdlib: Remove ets_SUITE:memory_check_summary
erts: Improve reduction count during table cleanup
erts: Cleanup table status bits
erts: Remove now redundant 'id' from DbTableCommon
erts: Remove meta_main_tab
erts: Pass tid argument down to trapping functions
erts: Print table id as ref in crashdump and break menu
erts: Replace meta_pid_to{_fixed}_tab with linked lists
erts: Correct erl_rbtree comments about yielding
erts: Add ERTS_RBT_YIELD_STAT_INIT to erl_rbtree
Fix node_container_SUITE
list_to_ref/1
Implement ets:all() using scheduler specific data
Rename fixation count in ets table to avoid confusion
Introduce references as table identifiers
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Replaced "Id" column with "Is Named".
Removed "Slot" column.
Sort by name instead if id.
Use name in right-click menu instead of id.
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to adapt to new ref table identifiers.
I moved the "Table Id" column last.
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and let each test case fail, like it was before.
Seems growing/shrinking meta tables was causing the sporadic
failed memory checks.
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'the_name' keeps name of all tables.
'type' & DB_NAMED_TABLE mark tables as named.
table ref id is built from magic bin when needed.
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\o/
O
/ \
Also removed the body for CHECK_TABLES enabled by HARDDEBUG.
Removed quite useless check for hash,
but kept dead check code for tree.
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to get rid of meta table lookup by integer (tb->common.id)
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from process psd through all owned/fixed tables.
As meta_pid_to{_fixed}_tab maps to slot in meta_main_tab
which is planned for destruction.
In this commit we no longer seize table lock while
freeing the table (free_table_cont) as it's not needed
and makes the code a bit simpler. Any concurrent operation
on the table will only access lock, owner and status
and then bail out.
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true is yielding, false is done.
and correct return value for unused foreach_ordered__
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for dynamic initialization of yield state.
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Minor document fix for proplists
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Update README.md
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Add session_id and remove undocumented ssl:session_info/1
Add client_random, server_random and master_secret, they will not be included
in ssl:connection_information/1 as they may affect the connections security if
used recklessly.
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* ingela/ssl/remove-deprecated:
ssl: Remove deprecated functions
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* ingela/crypto/deprecate/rand_uniform:
crypto: Deprecate crypto:rand_uniform/2 as it is not cryptographically strong
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Update erlang-security email
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* ingela/corrct-otp-internal:
ssl, public_key, crypto: Change deprecated to removed
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Two dummy .erl files are created while releasing the tests for
the compiler. Remove the files after they have been copied to
the release directory to avoid that they show up as untracked
files in the output of "git status".
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rand module should be used if not cryptographically strong is required.
If cryptographically strong is required, new cryptographically strong
functions should be added to crypto.
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bjorng/bjorn/disallow-unicode-module-names/OTP-14285
Don't allow module names with non-latin1 characters
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* bjorn/asn1/clean-up:
Remove default clauses that cause exceptions for internal errors
Clean up comments
Clean up asn1ct_gen:emit/1
Remove unused clauses in asn1ct_gen:emit/1
Clean up use of asn1ct_gen:emit/1
Remove the 'debug' option
Only generate needed single quotes around function names
asn1ct_gen_ber_bin_v2: Remove unused code
asn1ct_gen_per: Fix broken dialyzer suppression function
asn1_erl_nif.c: Correct handling of tags >= 16384
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use normal file names for eunit reports
OTP-14287
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These pseudo instructions are added to all backends and allow spill slot
to spill slot move coalescing in a clean way.
They have regular move semantics, but contain an additional scratch
register to be used if both source and destination are spilled, and can
not be move coalesced.
Additionally, a register allocator callback
Target:is_spill_move(Instr, Context) is added which allows the spill
slot allocators to check for these instructions and try to coalesce the
spill slots the two temporaries are allocated to.
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hipe_range_split is a complex live range splitter, more sophisticated
thatn hipe_restore_reuse, but still targeted specifically at temporaries
forced onto stack by being live over call instructions.
hipe_range_split partitions the control flow graph at call instructions,
like hipe_regalloc_prepass. Splitting decisions are made on a per
partition and per temporary basis.
There are three different ways in which hipe_range_split may choose to
split a temporary in a program partition:
* Mode1: Spill the temp before calls, and restore it after them
* Mode2: Spill the temp after definitions, restore it after calls
* Mode3: Spill the temp after definitions, restore it before uses
To pick which of these should be used for each temp×partiton pair,
hipe_range_split uses a cost function. The cost is simply the sum of the
cost of all expected stack accesses, and the cost for an individual
stack access is based on the probability weight of the basic block that
it resides in. This biases the range splitter so that it attempts moving
stack accesses from a functions hot path to the cold path.
hipe_bb_weights is used to compute the probability weights.
mode3 is effectively the same as what hipe_restore_reuse does. Because
of this, hipe_restore_reuse reuses the analysis pass of
hipe_restore_reuse in order to compute the minimal needed set of spills
and restores. The reason mode3 was introduced to hipe_range_split rather
than simply composing it with hipe_restore_reuse (by running both) is
that such a composition resulted in poor register allocation results due
to insufficiently strong move coalescing in the register allocator.
The cost function heuristic has a couple of tuning knobs:
* {range_split_min_gain, Gain} (default: 1.1, range: [0.0, inf))
The minimum proportional improvement that the cost of all stack
accesses to a temp must display in order for that temp to be split.
* {range_split_mode1_fudge, Factor} (default: 1.1, range: [0.0, inf))
Costs for mode1 are multiplied by this factor in order to discourage
it when it provides marginal benefits. The justification is that
mode1 causes temps to be live for longest, thus leading to higher
register pressure.
* {range_split_weight_power, Factor} (default: 2, range: (0.0, inf))
Adjusts how much effect the basic block weights have on the cost of a
stack access. A stack access in a block with weight 1.0 has cost 1.0,
a stack access in a block with weight 0.01 has cost 1/Factor.
Additionally, the option range_split_weights chooses whether the basic
block weights are used at all.
In the case that the input is very big, hipe_range_split automatically
falls back to hipe_restore_reuse only in order to keep compile times
under control. Note that this is not only because of hipe_range_split
being slow, but also due to the resulting program being slow to register
allocate, and is not as partitionable by hipe_regalloc_prepass.
hipe_restore_reuse, on the other hand, does not affect the programs
partitionability.
The hipe_range_split pass is controlled by a new option ra_range_split.
ra_range_split is added to o2, and ra_restore_reuse is disabled in o2.
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hipe_bb_weights computes basic block weights by using the branch
probability predictions as the coefficients in a linear equation system.
This linear equation system is then solved using Gauss-Jordan
Elimination.
The equation system representation is picked to be efficient with highly
sparse data. During triangelisation, the remaining equations are
dynamically reordered in order to prevent the equations from growing in
the common case, preserving the benefit of the sparse equation
representation.
In the case that the input is very big, hipe_bb_weights automatically
falls back to a rough approximation in order to keep compile times under
control.
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Adds a new register allocator callback
Target:branch_preds(Instr, Context) which, for a control flow
instruction Instr, returns a list of tuples {Target, Probability} for
each label name Target that Instr may branch to. Probability is a float
between 0.0 and 1.0 and corresponds to the predicted probability that
control flow branches to the corresponding target. The probabilities may
sum to at most 1.0 (rounding errors aside). Note that a sum less than
1.0 is valid.
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