Hardware-Based and Hybrid L1 Data Cache Bypassing to Improve GPU Performance

摘要

Intelligent GPU cache bypassing can improve the efficiency of using GPU memory bandwidth, which can benefit GPU performance. In this paper, we study a pure hardware-based GPU cache bypassing method that can be applied to GPU applications without having to recompile the programs. Moreover, we introduce a hybrid method that can exploit profiling information to further enhance the hardware-based bypassing. Our experimental results show that the hardware-based cache bypassing can improve performance for most benchmarks, and the hybrid method can achieve performance comparable to the state-of-the-art compiler-based bypassing with much less profiling cost.