Page Placement Strategies for GPUs within Heterogeneous Memory Systems-Reference-Cited by-同舟云学术

Page Placement Strategies for GPUs within Heterogeneous Memory Systems

Published:2015-03-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Twentieth International Conference on Architectural Support for Programming Languages and Operating Systems
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Author:

Agarwal Neha¹,Nellans David²,Stephenson Mark²,O'Connor Mike²,Keckler Stephen W.²

Affiliation:

1. University of Michigan, Ann Arbor, MI, USA

2. NVIDIA, Austin, TX, USA

Funder

US Department of Energy

NSF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2694344.2694381

Reference51 articles.

1. T. M. Aamodt W. W. L. Fung I. Singh A. El-Shafiey J. Kwa T. Hetherington A. Gubran A. Boktor T. Rogers A. Bakhoda and H. Jooybar. GPGPU-Sim 3.x Manual. http://gpgpu-sim.org/manual/index.php/GPGPU-Sim_3.x_Manual 2014. {Online; accessed 4-December-2014}. T. M. Aamodt W. W. L. Fung I. Singh A. El-Shafiey J. Kwa T. Hetherington A. Gubran A. Boktor T. Rogers A. Bakhoda and H. Jooybar. GPGPU-Sim 3.x Manual. http://gpgpu-sim.org/manual/index.php/GPGPU-Sim_3.x_Manual 2014. {Online; accessed 4-December-2014}.

2. Handling the problems and opportunities posed by multiple on-chip memory controllers

3. Analyzing CUDA workloads using a detailed GPU simulator

4. Energy efficient Phase Change Memory based main memory for future high performance systems

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