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Spawning all worker processes at once has the potential to increase
peak memory consumption. Therefore the implementation is now slightly
modified: `20 * dialyzer_utils:parallelism()' processes are running in
parallel. 20 i quite a big factor, but seems necessary to keep all
schedulers busy according to the Observer application's Load Charts,
with a 100 ms update interval.
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Although some variable names indicate that lists of SCCs and modules
are sorted, that was not always the case. The effect on the execution
time of sorting them doesn't seem to be significant.
dialyzer_coordinator:sccs_to_pids() should now always return an empty
second list (not yet started workers).
Since the condensation of graphs often needs a lot of heap memory, it
is run in a separate process.
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* maint:
dialyzer: Compact 'file' annotations in Core code
dialyzer: Try to reduce memory usage
dialyzer: Use less memory when translating contracts
dialyzer: Use maps instaed of dict
dialyzer: Use maps instead of dict for module contracts map
dialyzer: Compress a few more ETS tables
dialyzer: Optimize memory consumption
dialyzer: Reduce memory consumption during 'remote' phase
dialyzer: Update code for finding parallelism
compiler: Do not spawn process when dialyzing
dialyzer: Reduce ETS usage during the typesig phase
dialyzer: Optimize graph condensation
dialyzer: Do not send full PLTs as messages
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The condensed graph of SCCs occupies less ETS memory. A table
translating to and from SCC to a unique integer is introduced.
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By not using ETS when calculating the condensation of graphs, peak
heap memory consumption is reduced.
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... in order to reduce size of module dialyzer_callgraph, down from
~850 to ~750 lines.
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Record field types have been modified due to commit 8ce35b2:
"Take out automatic insertion of 'undefined' from typed record fields".
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The types array(), dict(), digraph(), gb_set(), gb_tree(), queue(),
set(), and tid() have been deprecated. They will be removed in OTP 18.0.
Instead the types array:array(), dict:dict(), digraph:graph(),
gb_set:set(), gb_tree:tree(), queue:queue(), sets:set(), and ets:tid()
can be used. (Note: it has always been necessary to use ets:tid().)
It is allowed in OTP 17.0 to locally re-define the types array(), dict(),
and so on.
New types array:array/1, dict:dict/2, gb_sets:set/1, gb_trees:tree/2,
queue:queue/1, and sets:set/1 have been added.
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Dialyzer so far only supported letrecs at the top-level
and comprehension-like letrecs (i.e. that were directly applied)
in their body.
This commit address this issue by storing in the callgraph
bound letrec labels pointing to their functions. This information
is then used by the dataflow to properly lookup recursive
definitions.
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The final version of the callgraph needs not be "reduced" for more efficient
copying.
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As the storing in the codeserver is organized per function there is no
need for fancy code to make use of the old caching capabilities.
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Dataflow analysis was structured to find SCCs of modules, without making
any use of the information that these were indeed SCCs.
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Refactorings, code movements and reflection of mutable variables in the code.
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* ks/hipe:
dialyzer: Fix system_limit exception in race analysis
syntax_tools: Add types and specs for most exported functions
syntax_tools: Support the --enable-native-libs configure option
syntax_tools: Remove $Id$ annotations
dialyzer: New version for the R13B04 release
hipe: Miscellaneous additions
typer: New version for the R13B04 release
Fix a HiPE compiler bug evaluating an expression that throws system_limit
OTP-8460 ks/hipe
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dialyzer_callgraph:
Avoid creation of too many ets tables by the race analysis.
dialyzer_dataflow:
The digraph returned by the race analysis should not be the
translated one.
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