Tao: Re-Thinking DL-based Microarchitecture Simulation

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Tao: Re-Thinking DL-based Microarchitecture Simulation

16 April 2024

Amir Yazdanbakhsh

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Papers citing "Tao: Re-Thinking DL-based Microarchitecture Simulation"

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Title
CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation Abdullah Alomar Pouya Hamadanian Arash Nasr-Esfahany Anish Agarwal MohammadIman Alizadeh Devavrat Shah CML 85 23 0 05 Jan 2022
SimNet: Accurate and High-Performance Computer Architecture Simulation using Deep Learning Lingda Li Santosh Pandey T. Flynn Hang Liu Noel Wheeler A. Hoisie 38 8 0 12 May 2021
An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks K. Seshadri Berkin Akin James Laudon Ravi Narayanaswami Amir Yazdanbakhsh 92 121 0 20 Feb 2021
Apollo: Transferable Architecture Exploration Amir Yazdanbakhsh Christof Angermueller Berkin Akin Yanqi Zhou Albin Jones Milad Hashemi Kevin Swersky S. Chatterjee Ravi Narayanaswami James Laudon 58 26 0 02 Feb 2021
A Simple Model for Portable and Fast Prediction of Execution Time and Power Consumption of GPU Kernels Lorenz Braun S. Nikas Chen Song Vincent Heuveline Holger Fröning 37 37 0 20 Jan 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 191 1,230 0 19 Jan 2020
Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks Charith Mendis Alex Renda Saman P. Amarasinghe Michael Carbin 52 153 0 21 Aug 2018

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