WCET Analysis of GPU L1 Data Caches

被引：0

作者：

Huangfu, Yijie ^{[1
]}

Zhang, Wei ^{[1
]}

机构：

[1] Virginia Commonwealth Univ, Dept Elect & Comp Engn, Richmond, VA 23284 USA

来源：

2018 IEEE HIGH PERFORMANCE EXTREME COMPUTING CONFERENCE (HPEC) | 2018年

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Graphics Processing Units (GPUs) have become widely used in high-performance computing. For real-time applications demanding high throughputs, GPUs can provide abundant computing power with high energy efficiency. However, modern GPUs are designed to boost average-case performance, not for time predictability. Therefore, for hard real-time applications, it is crucial to estimate their worst-case execution time (WCET) running on GPUs. As the first step toward this goal, this paper applies the abstract interpretation to GPU L1 data caches to estimate the worst-case L1 data cache miss rate of GPU applications. The experimental results show that the proposed analyzer can achieve safe and very tight estimation of GPU L1 data cache misses.

引用

页数：7

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