Changing Conceptual Ecologies with Task-structured Science Curricula. - David Kanter; Bruce Sherin; Victor R. Lee (ICLS, 2006)

Implementing what we know about learning in a middle-school curriculum for widespread dissemination: the project-based inquiry science (PBIS) story. - Janet L. Kolodner; Mary L. Starr; Daniel C. Edelson; Barbara Hug; David Kanter; Joseph Krajcik; Juliana A. Lancaster; Thomas A. Laster; Jennifer Leimberer; Brian J. Reiser; Michael T. Ryan; Rebecca Schneider; et al. (ICLS (3), 2008)

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)

Benchmarking TinyML Systems: Challenges and Direction. - Colby R. Banbury; Vijay Janapa Reddi; Max Lam; William Fu; Amin Fazel; Jeremy Holleman; Xinyuan Huang; Robert Hurtado; David Kanter; Anton Lokhmotov; David A. Patterson 001; Danilo Pau; et al. (CoRR, 2020)

MLPerf Mobile Inference Benchmark: Why Mobile AI Benchmarking Is Hard and What to Do About It. - 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. (CoRR, 2020)

MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance. - Peter Mattson; Hanlin Tang; Gu-Yeon Wei; Carole-Jean Wu; Vijay Janapa Reddi; Christine Cheng; Cody Coleman; Greg Diamos; David Kanter; Paulius Micikevicius; David A. Patterson 001; Guenther Schmuelling (IEEE Micro, 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 Tiny Benchmark. - Colby R. Banbury; Vijay Janapa Reddi; Peter Torelli; Nat Jeffries; Csaba Király 002; Jeremy Holleman; Pietro Montino; David Kanter; Pete Warden; Danilo Pau; Urmish Thakker; Antonio Torrini; et al. (NeurIPS Datasets and Benchmarks, 2021)

The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage. - Daniel Galvez; Greg Diamos; Juan Torres; Keith Achorn; Juan Felipe Cerón; Anjali Gopi; David Kanter; Max Lam; Mark Mazumder; Vijay Janapa Reddi (NeurIPS Datasets and Benchmarks, 2021)

Multilingual Spoken Words Corpus. - Mark Mazumder; Sharad Chitlangia; Colby R. Banbury; Yiping Kang; Juan Ciro; Keith Achorn; Daniel Galvez; Mark Sabini; Peter Mattson; David Kanter; Greg Diamos; Pete Warden; et al. (NeurIPS Datasets and Benchmarks, 2021)

Data Engineering for Everyone. - Vijay Janapa Reddi; Greg Diamos; Pete Warden; Peter Mattson; David Kanter (CoRR, 2021)

MLPerf Tiny Benchmark. - Colby R. Banbury; Vijay Janapa Reddi; Peter Torelli; Jeremy Holleman; Nat Jeffries; Csaba Király 002; Pietro Montino; David Kanter; Sebastian Ahmed; Danilo Pau; Urmish Thakker; Antonio Torrini; et al. (CoRR, 2021)

MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation. - Alexandros Karargyris; Renato Umeton; Micah J. Sheller; Alejandro Aristizabal; Johnu George; Srini Bala; Daniel J. Beutel; Victor Bittorf; Akshay Chaudhari; Alexander Chowdhury; Cody Coleman; Bala Desinghu; et al. (CoRR, 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)

The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage. - Daniel Galvez; Greg Diamos; Juan Ciro; Juan Felipe Cerón; Keith Achorn; Anjali Gopi; David Kanter; Maximilian Lam; Mark Mazumder; Vijay Janapa Reddi (CoRR, 2021)

LSH methods for data deduplication in a Wikipedia artificial dataset. - Juan Ciro; Daniel Galvez; Tim Schlippe; David Kanter (CoRR, 2021)

The Vision Behind MLPerf: Understanding AI Inference Performance. - Vijay Janapa Reddi; Christine Cheng; David Kanter; Peter Mattson; Guenther Schmuelling; Carole-Jean Wu (IEEE Micro, 2021)

When Moore Just Isn't Enough: Scaling ML in the Datacenter. - David Kanter (IPDPS Workshops, 2022)

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)

The Dollar Street Dataset: Images Representing the Geographic and Socioeconomic Diversity of the World. - William Gaviria Rojas; Sudnya Frederick Diamos; Keertan Kini; David Kanter; Vijay Janapa Reddi; Cody Coleman (NeurIPS, 2022)

DataPerf: Benchmarks for Data-Centric AI Development. - Mark Mazumder; Colby R. Banbury; Xiaozhe Yao; Bojan Karlas; William Gaviria Rojas; Sudnya Frederick Diamos; Greg Diamos; Lynn He; Douwe Kiela; David Jurado; David Kanter; Rafael Mosquera; et al. (CoRR, 2022)

DataPerf: Benchmarks for Data-Centric AI Development. - Mark Mazumder; Colby R. Banbury; Xiaozhe Yao; Bojan Karlas; William Gaviria Rojas; Sudnya Frederick Diamos; Greg Diamos; Lynn He; Alicia Parrish; Hannah Rose Kirk; Jessica Quaye; Charvi Rastogi; et al. (NeurIPS, 2023)

Speech Wikimedia: A 77 Language Multilingual Speech Dataset. - Rafael Mosquera Gómez; Julián Eusse; Juan Ciro; Daniel Galvez; Ryan Hileman; Kurt D. Bollacker; David Kanter (CoRR, 2023)

Federated benchmarking of medical artificial intelligence with MedPerf. - Alexandros Karargyris; Renato Umeton; Micah J. Sheller; Alejandro Aristizabal; Johnu George; Anna Wuest; Sarthak Pati; Hasan Kassem; Maximilian Zenk; Ujjwal Baid; Prakash Narayana Moorthy; Alexander Chowdhury; et al. (Nat. Mac. Intell., 2023)

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)