- 05 Apr, 2019 1 commit
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This lead to some bug-fixes that covered move constructors not correctly assigning memory. We might clean this up further by only allowing in place creation of these types (placement new).
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- 04 Apr, 2019 1 commit
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- 02 Apr, 2019 4 commits
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There are serval ways we could optimize the calls, but for now this should be enough for first tests.
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The current solution is not clean, but allows us to change error handling later on without missing any point in the programm where we would want to use it.
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- 01 Apr, 2019 3 commits
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This implementation allows one to add the deque_item property to any class and then manage pointers to these items in a deque. We currently use a spinlock for concurrent access.
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- 29 Mar, 2019 2 commits
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The lock was not released when an split_task was executed. We did a dirty fix by allowing the method to unlock the lock itself, but this has to be done cleaner in the future.
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- 27 Mar, 2019 2 commits
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- 26 Mar, 2019 1 commit
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This means that high level tasks can be stolen and lays the groundwork for implementing different tasks like classic work stealing.
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- 25 Mar, 2019 2 commits
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This will be used for storing thread tasks aligned in continous memory, allowing different theads to work on the data without interfearing.
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- 22 Mar, 2019 1 commit
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Right now no work can be spawned, we simply have a proove of concept that we start up each thread, work for the master to finish and then synchronize back to the main thread.
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- 21 Mar, 2019 1 commit
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- 20 Mar, 2019 2 commits
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See NOTES.md for details, basically std::thread can use dynamic memory allocation internaly and we want to prevent that.
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- 19 Mar, 2019 2 commits
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The local storage per thread is only a pointer, this must be assigned AFTER the local storage object has moved to it's final location (e.g. on the stack of the caller). We might even change this a little further in the future to make the location of the state object more transparent.
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The first draft of the internal threading component is currently only implemented using the c++11 std::thread, pthread support will be added next.
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