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accelwattch.html

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AccelWattch is a power modeling framework that is extensively validated for modern GPUs and enables reliable design space exploration. Please see our recent <a href="http://paragon.cs.northwestern.edu/papers/2021-MICRO-AccelWattch-Kandiah.pdf">MICRO 2021 paper</a> and download slides from <a href="http://paragon.cs.northwestern.edu/talks/2021-MICRO-AccelWattch-Kandiah-slides.pptx"> here</a>.<br><br>
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To keep you up-to-date with the recent news on Accel-Sim and AccelWattch, please join our Google group <a
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To keep you up-to-date with the recent news on AccelWattch, please join our Google group <a
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href="https://groups.google.com/forum/#!forum/accel-sim">here</a>!<br><br>
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If you use GPGPU-Sim 4.x, trace-driven simulation, or any of the Accel-Sim components in your research, please cite:<br>
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<p class="lead">If you use any component of the AccelWattch power modeling framework in your research, please cite:<br>
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<li>Mahmoud Khairy, Jason Shen, Tor M. Aamodt, and Timothy G. Rogers
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<i>"Accel-Sim: An Extensible Simulation Framework for Validated GPU Modeling"</i>,
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In The 47th International Symposium on Computer Architecture, May 2020
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<li>Vijay Kandiah, Scott Peverelle, Mahmoud Khairy, Junrui Pan, Amogh Manjunath, Timothy G. Rogers, Tor M. Aamodt, and Nikos Hardavellas
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<i>"AccelWattch: A Power Modeling Framework for Modern GPUs"</i>,
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<i>In MICRO- 54: 54th Annual IEEE/ACM International Symposium on Microarchitecture</i>,
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(MICRO ’21), October 18–22, 2021, Virtual Event, Greece.
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</li><br>
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</center></div>

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