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KAWS: Coordinate Kernel-Aware Warp Schedulingand Warp Sharing Mechanism for Advanced GPUs
2021
Journal of Information Processing Systems
Modern graphics processor unit (GPU) architectures offer significant hardware resource enhancements for parallel computing. However, without software optimization, GPUs continuously exhibit hardware resource underutilization. In this paper, we indicate the need to alter different warp scheduler schemes during different kernel execution periods to improve resource utilization. Existing warp schedulers cannot be aware of the kernel progress to provide an effective scheduling policy. In addition,
doi:10.3745/jips.01.0084
dblp:journals/jips/VoK21
fatcat:fb2ewugjsbaaxmq5k67tlwwsry