Addressing GPU On-Chip Shared Memory Bank Conflicts Using Elastic Pipeline

Author:

Gou Chunyang,Gaydadjiev Georgi N.

Publisher

Springer Science and Business Media LLC

Subject

Information Systems,Theoretical Computer Science,Software

Reference38 articles.

1. Gou, C., Gaydadjiev, G.N.: Elastic pipeline: addressing GPU on-chip shared memory bank conflicts. In: Proceedings of the 8th ACM International Conference on Computing Frontiers (CF’11) (May 2011), pp. 1–11 (2011)

2. GPGPU home page. http://gpgpu.org

3. Valiant L.G.: A bridging model for parallel computation. Commun. ACM 33, 103–111 (1990)

4. Thistle, M.R., Smith, B.J.: A processor architecture for horizon. In: Proceedings of the 1988 ACM/IEEE Conference on Supercomputing (Los Alamitos, CA, USA, 1988), Supercomputing ’88. IEEE Computer Society Press, pp. 35–41 (1988)

5. Nickolls J., Buck I., Garland M., Skadron K.: Scalable parallel programming with cuda. Queue 6, 40–53 (2008)

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Soft GPGPU versus IP cores: Quantifying and Reducing the Performance Gap;14th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART'24));2024-06-19

2. Compressed SVD-based L + S model to reconstruct undersampled dynamic MRI data using parallel architecture;Magnetic Resonance Materials in Physics, Biology and Medicine;2023-11-18

3. A Vector-Length Agnostic Compiler for the Connex-S Accelerator with Scratchpad Memory;ACM Transactions on Embedded Computing Systems;2020-11-30

4. Engineering Worst-Case Inputs for Pairwise Merge Sort on GPUs;2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2020-05

5. Neda: Supporting Direct Inter-Core Neighbor Data Exchange in GPUs;IEEE Computer Architecture Letters;2018-07-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3