Fetching the paper…
Reading the bibliography…
The GPU has emerged as the go-to accelerator for high throughput and parallel workloads, spanning scientific simulations to AI, thanks to its performance and power efficiency.
Powermon: Fine-grained and integrated power monitoring for commodity computer systems
Daniel Bedard, Min Yeol Lim, Robert Fowler, and Allan Porterfield · 2010
Earlier work this paper cites.
Statistical power modeling of gpu kernels using performance counters
Hitoshi Nagasaka, Naoya Maruyama, Akira Nukada, Toshio Endo, and Satoshi Matsuoka · 2010
Earlier work this paper cites.
Power estimation based on block activity
H. Cha, R. J. Hasslen III, J. A. Robinson, S. J. Treichler, and A. U. Diril · 2011
Earlier work this paper cites.
Powerinsight-a commodity power measurement capability
James H Laros, Phil Pokorny, and David DeBonis · 2013
Earlier work this paper cites.
Gpuwattch: Enabling energy optimizations in gpgpus
Jingwen Leng, Tayler Hetherington, Ahmed ElTantawy, Syed Gilani, Nam Sung Kim, Tor M Aamodt, and Vijay Janapa Reddi · 2013
Earlier work this paper cites.
Measuring gpu power with the k20 built-in sensor
Martin Burtscher, Ivan Zecena, and Ziliang Zong · 2014
Earlier work this paper cites.
How to stop data centres from gobbling up the world’s electricity
Nicola Jones et al · 2018
Earlier work this paper cites.
Powersensor 2: A fast power measurement tool
John W Romein and Bram Veenboer · 2018
Earlier work this paper cites.
Quality assessment of gpu power profiling mechanisms
Satyabrata Sen, Neena Imam, and Chung-Hsing Hsu · 2018
Earlier work this paper cites.
A comparative study of methods for measurement of energy of computing
Muhammad Fahad, Arsalan Shahid, Ravi Reddy Manumachu, and Alexey Lastovetsky · 2019
Earlier work this paper cites.
Understanding the future of energy efficiency in multi-module gpus
Akhil Arunkumar, Evgeny Bolotin, David Nellans, and Carole-Jean Wu · 2019
Earlier work this paper cites.
Recalibrating global data center energy-use estimates
Eric Masanet, Arman Shehabi, Nuoa Lei, Sarah Smith, and Jonathan Koomey · 2020
Earlier work this paper cites.
Verified instruction-level energy consumption measurement for nvidia gpus
Yehia Arafa, Ammar ElWazir, Abdelrahman ElKanishy, Youssef Aly, Ayatelrahman Elsayed, Abdel-Hameed Badawy, Gopinath Chennupati, Stephan Eidenbenz, and Nandakishore Santhi · 2020
Earlier work this paper cites.
A simple model for portable and fast prediction of execution time and power consumption of gpu kernels
Lorenz Braun, Sotirios Nikas, Chen Song, Vincent Heuveline, and Holger Fröning · 2020
Earlier work this paper cites.
Towards the systematic reporting of the energy and carbon footprints of machine learning
Peter Henderson, Jieru Hu, Joshua Romoff, Emma Brunskill, Dan Jurafsky, and Joelle Pineau · 2020
Cited alongside, same era.
Gpu-nest: Characterizing energy efficiency of multi-gpu inference servers
Ali Jahanshahi, Hadi Zamani Sabzi, Chester Lau, and Daniel Wong · 2020
Cited alongside, same era.
Deep learning’s diminishing returns: The cost of improvement is becoming unsustainable
Neil C Thompson, Kristjan Greenewald, Keeheon Lee, and Gabriel F Manso · 2021
Cited alongside, same era.
Accelwattch: A power modeling framework for modern gpus
Vijay Kandiah, Scott Peverelle, Mahmoud Khairy, Junrui Pan, Amogh Manjunath, Timothy G Rogers, Tor M Aamodt, and Nikos Hardavellas · 2021
Cited alongside, same era.
Efficiency near the edge: Increasing the energy efficiency of ffts on gpus for real-time edge computing
Karel Adámek, Jan Novotnỳ, Jeyarajan Thiyagalingam, and Wesley Armour · 2021
Cited alongside, same era.
Steam hardware & software survey: June 2023, 2023
Valve · 2023
Closest in time.
Nvidia announces financial results for second quarter fiscal 2024, August 2023
NVIDIA · 2023
Closest in time.
Nvidia sold 900 tons of h100 gpus last quarter, says analyst firm
Anton Shilov · 2023
Closest in time.
Google environment report 2023, 2023
Google · 2023
Closest in time.
Nvidia reviewer toolkit for graphics performance, 2020
Seth Schneider · 2023
Closest in time.
Elmorlabs pmd-usb (power measurement device with usb), 2023
ElmorLabs · 2023
Closest in time.
Nvml api reference guide, 2023
Nvidia · 2023
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
The carbon footprint of machine learning training will plateau, then shrink
David Patterson, Joseph Gonzalez, Urs Hölzle, Quoc Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David R So, Maud Texier, and Jeff Dean · 2022
Cited alongside, same era.
Data centers on wheels: emissions from computing onboard autonomous vehicles
Soumya Sudhakar, Vivienne Sze, and Sertac Karaman · 2022
Cited alongside, same era.
Instinctive real-time semg-based control of prosthetic hand with reduced data acquisition and embedded deep learning training
Zeyu Yang, Angus B Clark, Digby Chappell, and Nicolas Rojas · 2022
Cited alongside, same era.
Nvidia doesn’t want you to do this - gpu shunt mod
Linus Tech Tips · 2022
Cited alongside, same era.
Jack White, Karel Adamek, and Wes Armour · 2022
Cited alongside, same era.
A study on power and energy measurement of nvidia jetson embedded gpus using built-in sensor
Büşra Aslan and Ayse Yilmazer-Metin · 2022
Cited alongside, same era.
Top500 list - november 2023, 2023
TOP500.org · 2023
Cited alongside, same era.
Closest in time.
Know your enemy to save cloud energy: Energy-performance characterization of machine learning serving
Junyeol Yu, Jongseok Kim, and Euiseong Seo · 2023
Closest in time.
An experimental comparison of software-based power meters: focus on cpu and gpu
Mathilde Jay, Vladimir Ostapenco, Laurent Lefèvre, Denis Trystram, Anne-Cécile Orgerie, and Benjamin Fichel · 2023
Closest in time.
Omegawatt
OmegaWatt · 2023
Closest in time.
NVIDIA Grace Hopper Superchip Data Sheet
NVIDIA · 2024
Closest in time.
Unprecedented £225m investment to create uk’s most powerful supercomputer in bristol, November 2023
TOP500.org · 2024
Closest in time.
Nvidia grace hopper superchip powers jupiter, defining a new class of supercomputers to propel ai for scientific discovery
NVIDIA · 2024
Closest in time.
Grace Hopper Superchip Performance Tuning Guide
NVIDIA · 2024
Closest in time.