CUDA ---- Branch Divergence and Unrolling Loop
Avoiding Branch Divergence 有时，控制流依赖于thread索引。同一个warp中，一个条件分支可能导致很差的性能。通过重新组织数据获取模式可以减少或避免warp divergence（该问题的解释请查看warp解析篇）。 The Parallel Reduction Problem 我们现在要计算一个数组N个元素的和。这个过程用CPU编程很容易实现： int sum =
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相关文章
- 1. [Git] Remote Branch and Tag
- 2. CUDA系列学习（二）CUDA memory variables - different memory and va
- 3. CUDA ---- Stream and Event
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- 5. Your branch and 'XXX' have diverged
- 6. Your branch and 'origin/master' have diverged
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- 10. Phi-divergence