Power Estimation and Comparison of Heterogenous CPU-GPU Processors
Author:
Affiliation:
1. Toronto Metropolitan University,Department of Electrical and Computer Engineering,Toronto,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10457288/10457581/10457590.pdf?arnumber=10457590
Reference20 articles.
1. GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning;Liang
2. The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems;Inci,2020
3. Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning;Makoviychuk,2021
4. GRiD: GPU-Accelerated Rigid Body Dynamics with Analytical Gradients
5. ROCKY: A Robust Hybrid On-chip Memory Kit For The Processors With STT-MRAM Cache Technology
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1. A Comprehensive Review of Processing-in-Memory Architectures for Deep Neural Networks;Computers;2024-07-16
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