平衡缓存绕过关键翘曲减少:工作在进行中

Proceedings of the 2017 International Conference on Compilers, Architectures and Synthesis for Embedded Systems Companion Pub Date : 2017-10-15 DOI:10.1145/3125501.3125513

Sungin Hong, Hyunjun Kim, Hwansoo Han

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引用次数: 1

摘要

为了解决GPU计算中GPU内存资源的争用问题，提出了warp级缓存绕过算法。然而，在平衡工作负载下，由于翘曲临界性问题，所提出的缓存绕过方案的性能不是最优的。在本文中，我们证明了warp级缓存旁路是一个次优解决方案，并提出了一个平衡的缓存旁路方案来解决这个问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Balanced cache bypassing for critical warp reduction: work-in-progress

Warp-level cache bypassing has been proposed to resolve GPU memory resource contention on GPU computing. However, the proposed cache bypassing scheme has sub-optimal performance due to warp criticality problem in balanced workload. In this paper, we show that warp-level cache bypassing is a sub-optimal solution and propose a balanced cache bypassing scheme to solve this problem.

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Proceedings of the 2017 International Conference on Compilers, Architectures and Synthesis for Embedded Systems Companion

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