| [eigen-commits] commit/eigen: rmlarsen: Reduce dispatch overhead in parallelFor by only calling thread_pool.Schedule() for one of the two recursive calls in handleRange. This avoids going through the scedule path to push both recursive calls onto another thread-queue in the binary tree, but instead executes one of them on the main thread. At the leaf level this will still activate a full complement of threads, but will save up to 50% of the overhead in Schedule (random number generation, insertion in queue which includes signaling via atomics). |
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- Subject: [eigen-commits] commit/eigen: rmlarsen: Reduce dispatch overhead in parallelFor by only calling thread_pool.Schedule() for one of the two recursive calls in handleRange. This avoids going through the scedule path to push both recursive calls onto another thread-queue in the binary tree, but instead executes one of them on the main thread. At the leaf level this will still activate a full complement of threads, but will save up to 50% of the overhead in Schedule (random number generation, insertion in queue which includes signaling via atomics).
- From: Bitbucket <commits-noreply@xxxxxxxxxxxxx>
- Date: Mon, 14 Nov 2016 22:39:53 -0000
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1 new commit in eigen:
https://bitbucket.org/eigen/eigen/commits/c9296b1f6c7a/
Changeset: c9296b1f6c7a
User: rmlarsen
Date: 2016-11-14 22:18:16+00:00
Summary: Reduce dispatch overhead in parallelFor by only calling thread_pool.Schedule() for one of the two recursive calls in handleRange. This avoids going through the scedule path to push both recursive calls onto another thread-queue in the binary tree, but instead executes one of them on the main thread. At the leaf level this will still activate a full complement of threads, but will save up to 50% of the overhead in Schedule (random number generation, insertion in queue which includes signaling via atomics).
Affected #: 1 file
Repository URL: https://bitbucket.org/eigen/eigen/
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