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Path Forward Beyond Simulators: Fast and Accurate GPU Execution Time Prediction for DNN Workloads

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 28 Oct 2023Publisher:ACMJournal:56th Annual IEEE/ACM International Symposium on Microarchitecture
Authors: Ying Li 0049; Yifan Sun 0002; Adwait Jog;

doi: 10.1145/3613424.3614277 , 10.5281/zenodo.8365078 , 10.5281/zenodo.8219644

Path Forward Beyond Simulators: Fast and Accurate GPU Execution Time Prediction for DNN Workloads

Abstract

This is the artifact for the paper "Path Forward Beyond Simulators: Fast and Accurate GPU Execution Time Prediction for DNN Workloads" to appear in MICRO 2023.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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