Summarizing CPU and GPU Design Trends with Product Data

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Summarizing CPU and GPU Design Trends with Product Data

26 November 2019

Yifan Sun

Nicolas Bohm Agostini

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Papers citing "Summarizing CPU and GPU Design Trends with Product Data"

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Title
Hardware-Enabled Mechanisms for Verifying Responsible AI Development Aidan O'Gara Gabriel Kulp Will Hodgkins James Petrie Vincent Immler Aydin Aysu K. Basu S. Bhasin S. Picek Ankur Srivastava 41 0 0 02 Apr 2025
Beyond Efficiency: Scaling AI Sustainably Carole-Jean Wu Bilge Acun Ramya Raghavendra Kim Hazelwood GNN 93 17 0 08 Jun 2024
NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention Tianyi Zhang Jonah Yi Bowen Yao Zhaozhuo Xu Anshumali Shrivastava MQ 99 7 0 02 Mar 2024
ISimDL: Importance Sampling-Driven Acceleration of Fault Injection Simulations for Evaluating the Robustness of Deep Learning Alessio Colucci A. Steininger Mohamed Bennai AAML 44 2 0 14 Mar 2023
Reversible Vision Transformers K. Mangalam Haoqi Fan Yanghao Li Chaoxiong Wu Bo Xiong Christoph Feichtenhofer Jitendra Malik ViT 69 47 0 09 Feb 2023
Enough Hot Air: The Role of Immersion Cooling Kawsar Haghshenas Brian Setz Yannis Bloch Marco Aiello 46 20 0 09 May 2022
A Survey of Multi-Tenant Deep Learning Inference on GPU Fuxun Yu Di Wang Longfei Shangguan Minjia Zhang Chenchen Liu Xiang Chen BDL AI4CE 69 32 0 17 Mar 2022
NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems F. Vicentini Damian Hofmann A. Szabó Dian Wu Christopher Roth ... Gabriel Pescia J. Nys Vladimir Vargas-Calderón N. Astrakhantsev Giuseppe Carleo 60 91 0 20 Dec 2021
A Survey of Large-Scale Deep Learning Serving System Optimization: Challenges and Opportunities Fuxun Yu Di Wang Longfei Shangguan Minjia Zhang Xulong Tang Chenchen Liu Xiang Chen 45 9 0 28 Nov 2021
Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems Logan G. Wright Tatsuhiro Onodera Martin M. Stein Tianyu Wang Darren T. Schachter Zoey Hu Peter L. McMahon PINN AI4CE 95 499 0 27 Apr 2021
Daisen: A Framework for Visualizing Detailed GPU Execution Yifan Sun Yixuan Zhang Ali Mosallaei Michael D. Shah Cody Dunne David Kaeli 23 13 0 02 Apr 2021
EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models Omar Shaikh Jon Saad-Falcon Austin P. Wright Nilaksh Das Scott Freitas O. Asensio Duen Horng Chau 52 20 0 30 Mar 2021
GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding Dmitry Lepikhin HyoukJoong Lee Yuanzhong Xu Dehao Chen Orhan Firat Yanping Huang M. Krikun Noam M. Shazeer Zhiwen Chen MoE 149 1,195 0 30 Jun 2020