PPT-GPU-Reference-Cited by-同舟云学术

PPT-GPU

Published:2018-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Symposium on Memory Systems
language:
Short-container-title:

Author:

Arafa Yehia¹,Badawy Abdel-Hameed A.²,Chennupati Gopinath³,Santhi Nandakishore³,Eidenbenz Stephan³

Affiliation:

1. New Mexico State University

2. New Mexico State University and Los Alamos National Laboratory

3. Los Alamos National Laboratory

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3240302.3270315

Reference9 articles.

1. 2009. NVIDIA Fermi. https://www.nvidia.com/content/PDF/fermi_white_papers/NVIDIA_Fermi_Compute_Architecture_Whitepaper.pdf 2009. NVIDIA Fermi. https://www.nvidia.com/content/PDF/fermi_white_papers/NVIDIA_Fermi_Compute_Architecture_Whitepaper.pdf

2. 2014. Nvidia geforce gtx 750. http://international.download.nvidia.com/geforce-com/international/pdfs/GeForce-GTX-750-Ti-Whitepaper.pdf 2014. Nvidia geforce gtx 750. http://international.download.nvidia.com/geforce-com/international/pdfs/GeForce-GTX-750-Ti-Whitepaper.pdf

3. 2014. Professional CUDA C Programming. Wrox Press Ltd. Birmingham UK UK. 2014. Professional CUDA C Programming. Wrox Press Ltd. Birmingham UK UK.

4. Michael Andersch and Jan Lucas Mauricio Alvarez-Mesa and Ben Juurlink. July 2014. Analyzing GPGPU Pipeline Latency. In Tenth International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems. Michael Andersch and Jan Lucas Mauricio Alvarez-Mesa and Ben Juurlink. July 2014. Analyzing GPGPU Pipeline Latency. In Tenth International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems.

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1. An efficient implementation of one-dimensional discrete wavelet transform algorithms for GPU architectures;The Journal of Supercomputing;2022-02-14

2. Verified instruction-level energy consumption measurement for NVIDIA GPUs;Proceedings of the 17th ACM International Conference on Computing Frontiers;2020-05-11