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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제17권 제6호
- 발행연도
- 2021.12
- 수록면
- 1,157 - 1,169 (13page)
- DOI
- 10.3745/JIPS.01.0084
이용수
초록· 키워드
오류제보하기
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 kernelprogress to provide an effective scheduling policy. In addition, we identified the potential for improving resource utilization for multiple-warp-scheduler GPUs by sharing stalling warps with selected warp schedulers.
To address the efficiency issue of the present GPU, we coordinated the kernel-aware warp scheduler and warp sharing mechanism (KAWS). The proposed warp scheduler acknowledges the execution progress of the running kernel to adapt to a more effective scheduling policy when the kernel progress attains a point of resource underutilization. Meanwhile, the warp-sharing mechanism distributes stalling warps to different warpschedulers wherein the execution pipeline unit is ready. Our design achieves performance that is on an average higher than that of the traditional warp scheduler by 7.97% and employs marginal additional hardware overhead.
목차
등록된 정보가 없습니다.
참고문헌 (15)
참고문헌 신청
T. G. Rogers / 2012 / Cache-conscious wavefront scheduling / Proceedings of 2012 45th Annual IEEE/ACM International Symposium on Microarchitecture :72~83
H. Asghari Esfeden / 2019 / CORF: coalescing operand register file for GPUs / Proceedings of the 24th International Conference on Architectural Support for Programming Languages and Operating Systems :701~714
C. T. Do / 2018 / Application characteristics-aware sporadic cache bypassing for high performance GPGPUs / Journal of Parallel and Distributed Computing 122:238~250
X. Chen / 2014 / Adaptive cache management for energy-efficient GPU computing / Proceedings of 2014 47th Annual IEEE/ACM International Symposium on Microarchitecture :343~355
S. Y. Lee / 2015 / CAWA : coordinated warp scheduling and cache prioritization for critical warp acceleration of GPGPU workloads / ACM SIGARCH Computer Architecture News 43(3S):515~527
H. Asghari Esfeden / 2019 / CORF: coalescing operand register file for GPUs / Proceedings of the 24th International Conference on Architectural Support for Programming Languages and Operating Systems :701~714
C. T. Do / 2018 / Application characteristics-aware sporadic cache bypassing for high performance GPGPUs / Journal of Parallel and Distributed Computing 122:238~250
X. Chen / 2014 / Adaptive cache management for energy-efficient GPU computing / Proceedings of 2014 47th Annual IEEE/ACM International Symposium on Microarchitecture :343~355
S. Y. Lee / 2015 / CAWA : coordinated warp scheduling and cache prioritization for critical warp acceleration of GPGPU workloads / ACM SIGARCH Computer Architecture News 43(3S):515~527
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