Massively parallel breadth first search using a tree-structured memory model. - Tom St. John; Jack B. Dennis; Guang R. Gao (PMAM, 2012)

Comparing Runtime Systems with Exascale Ambitions Using the Parallel Research Kernels. - Rob F. Van der Wijngaart; Abdullah Kayi; Jeff R. Hammond; Gabriele Jost; Tom St. John; Srinivas Sridharan 002; Timothy G. Mattson; John Abercrombie; Jacob Nelson 001 (ISC, 2016)

MLPerf Training Benchmark. - Peter Mattson; Christine Cheng; Cody Coleman; Greg Diamos; Paulius Micikevicius; David A. Patterson 001; Hanlin Tang; Gu-Yeon Wei; Peter Bailis; Victor Bittorf; David Brooks 001; Dehao Chen; et al. (CoRR, 2019)

MLPerf Inference Benchmark. - Vijay Janapa Reddi; Christine Cheng; David Kanter; Peter Mattson; Guenther Schmuelling; Carole-Jean Wu; Brian Anderson; Maximilien Breughe; Mark Charlebois; William Chou; Ramesh Chukka; Cody Coleman; et al. (ISCA, 2020)

MLPerf Training Benchmark. - Peter Mattson; Christine Cheng; Gregory F. Diamos; Cody Coleman; Paulius Micikevicius; David A. Patterson 001; Hanlin Tang; Gu-Yeon Wei; Peter Bailis; Victor Bittorf; David Brooks 001; Dehao Chen; et al. (MLSys, 2020)

MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. - Steven Farrell; Murali Emani; Jacob Balma; Lukas Drescher; Aleksandr Drozd; Andreas Fink; Geoffrey C. Fox; David Kanter; Thorsten Kurth; Peter Mattson; Dawei Mu; Amit Ruhela; et al. (MLHPC@SC, 2021)

MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. - Steven Farrell; Murali Emani; Jacob Balma; Lukas Drescher; Aleksandr Drozd; Andreas Fink; Geoffrey C. Fox; David Kanter; Thorsten Kurth; Peter Mattson; Dawei Mu; Amit Ruhela; et al. (CoRR, 2021)

MLPerf Mobile Inference Benchmark: An Industry-Standard Open-Source Machine Learning Benchmark for On-Device AI. - Vijay Janapa Reddi; David Kanter; Peter Mattson; Jared Duke; Thai Nguyen; Ramesh Chukka; Kenneth Shiring; Koan-Sin Tan; Mark Charlebois; William Chou; Mostafa El-Khamy; Jungwook Hong; et al. (MLSys, 2022)

MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI. - Arya Tschand; Arun Tejusve Raghunath Rajan; Sachin Idgunji; Anirban Ghosh; Jeremy Holleman; Csaba Király 002; Pawan Ambalkar; Ritika Borkar; Ramesh Chukka; Trevor Cockrell; Oliver Curtis; Grigori Fursin; et al. (CoRR, 2024)

MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from μWatts to MWatts for Sustainable AI. - Arya Tschand; Arun Tejusve Raghunath Rajan; Sachin Idgunji; Anirban Ghosh; Jeremy Holleman; Csaba Király 002; Pawan Ambalkar; Ritika Borkar; Ramesh Chukka; Trevor Cockrell; Oliver Curtis; Grigori Fursin; et al. (HPCA, 2025)