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Summary:
This allows for the stack size to be configured, which isn't
possible with std::thread. Prevents overflowing the stack when
performing complex operations in the task pool on darwin,
where the default pthread stack size is only 512kb.
This also moves TaskPool from Utility to Host.
Reviewers: labath, tberghammer, clayborg
Subscribers: lldb-commits
Differential Revision: https://reviews.llvm.org/D37930
llvm-svn: 313637
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Summary:
Many parallel tasks just want to iterate over all the possible numbers from 0 to N-1. Rather than enqueue N work items, instead just "map" the function across the requested integer space.
Reviewers: clayborg, labath, tberghammer, zturner
Reviewed By: clayborg, zturner
Subscribers: zturner, lldb-commits
Differential Revision: https://reviews.llvm.org/D32757
Patch by Scott Smith <scott.smith@purestorage.com>.
llvm-svn: 302223
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*** to conform to clang-format’s LLVM style. This kind of mass change has
*** two obvious implications:
Firstly, merging this particular commit into a downstream fork may be a huge
effort. Alternatively, it may be worth merging all changes up to this commit,
performing the same reformatting operation locally, and then discarding the
merge for this particular commit. The commands used to accomplish this
reformatting were as follows (with current working directory as the root of
the repository):
find . \( -iname "*.c" -or -iname "*.cpp" -or -iname "*.h" -or -iname "*.mm" \) -exec clang-format -i {} +
find . -iname "*.py" -exec autopep8 --in-place --aggressive --aggressive {} + ;
The version of clang-format used was 3.9.0, and autopep8 was 1.2.4.
Secondly, “blame” style tools will generally point to this commit instead of
a meaningful prior commit. There are alternatives available that will attempt
to look through this change and find the appropriate prior commit. YMMV.
llvm-svn: 280751
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The purpose of the class is to make it easy to execute tasks in parallel
Basic design goals:
* Have a very lightweight and easy to use interface where a list of
lambdas can be executed in parallel
* Use a global thread pool to limit the number of threads used
(std::async don't do it on Linux) and to eliminate the thread creation
overhead
* Destroy the thread currently not in use to avoid the confusion caused
by them during debugging LLDB
Possible future improvements:
* Possibility to cancel already added, but not yet started tasks
* Parallel for_each implementation
* Optimizations in the thread creation destroyation code
Differential revision: http://reviews.llvm.org/D13727
llvm-svn: 250820
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