Harmony: an execution model and runtime for heterogeneous many core systems. - Gregory F. Diamos; Sudhakar Yalamanchili (HPDC, 2008)

A characterization and analysis of PTX kernels. - Andrew Kerr; Gregory F. Diamos; Sudhakar Yalamanchili (IISWC, 2009)

Ocelot: a dynamic optimization framework for bulk-synchronous applications in heterogeneous systems. - Gregory Frederick Diamos; Andrew Kerr; Sudhakar Yalamanchili; Nathan Clark (PACT, 2010)

Modeling GPU-CPU workloads and systems. - Andrew Kerr; Gregory F. Diamos; Sudhakar Yalamanchili (GPGPU, 2010)

Speculative execution on multi-GPU systems. - Gregory F. Diamos; Sudhakar Yalamanchili (IPDPS, 2010)

A framework for dynamically instrumenting GPU compute applications within GPU Ocelot. - Naila Farooqui; Andrew Kerr; Gregory Frederick Diamos; Sudhakar Yalamanchili; Karsten Schwan (GPGPU, 2011)

SIMD re-convergence at thread frontiers. - Gregory Frederick Diamos; Benjamin Ashbaugh; Subramaniam Maiyuran; Andrew Kerr; Haicheng Wu; Sudhakar Yalamanchili (MICRO, 2011)

Harmony: an execution model for heterogeneous systems. - Gregory Frederick Diamos (2011)

Dynamic compilation of data-parallel kernels for vector processors. - Andrew Kerr; Gregory Frederick Diamos; Sudhakar Yalamanchili (CGO, 2012)

Optimizing Data Warehousing Applications for GPUs Using Kernel Fusion/Fission. - Haicheng Wu; Gregory F. Diamos; Jin Wang 010; Srihari Cadambi; Sudhakar Yalamanchili; Srimat T. Chakradhar (IPDPS Workshops, 2012)

Simultaneous branch and warp interweaving for sustained GPU performance. - Nicolas Brunie; Caroline Collange; Gregory Frederick Diamos (ISCA, 2012)

Kernel Weaver: Automatically Fusing Database Primitives for Efficient GPU Computation. - Haicheng Wu; Gregory Frederick Diamos; Srihari Cadambi; Sudhakar Yalamanchili (MICRO, 2012)

Characterization and transformation of unstructured control flow in bulk synchronous GPU applications. - Haicheng Wu; Gregory F. Diamos; Jin Wang 010; Si Li; Sudhakar Yalamanchili (Int. J. High Perform. Comput. Appl., 2012)

Relational algorithms for multi-bulk-synchronous processors. - Gregory Frederick Diamos; Haicheng Wu; Jin Wang 010; Ashwin Sanjay Lele; Sudhakar Yalamanchili (PPoPP, 2013)

Red Fox: An Execution Environment for Relational Query Processing on GPUs. - Haicheng Wu; Gregory F. Diamos; Tim Sheard; Molham Aref; Sean Baxter; Michael Garland; Sudhakar Yalamanchili (CGO, 2014)

Deep Speech: Scaling up end-to-end speech recognition. - Awni Y. Hannun; Carl Case; Jared Casper; Bryan Catanzaro; Greg Diamos; Erich Elsen; Ryan Prenger; Sanjeev Satheesh; Shubho Sengupta; Adam Coates 002; Andrew Y. Ng (CoRR, 2014)

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin. - Dario Amodei; Rishita Anubhai; Eric Battenberg; Carl Case; Jared Casper; Bryan Catanzaro; Jingdong Chen; Mike Chrzanowski; Adam Coates 002; Greg Diamos; Erich Elsen; Jesse H. Engel; et al. (CoRR, 2015)

Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin. - Dario Amodei; Sundaram Ananthanarayanan; Rishita Anubhai; Jingliang Bai; Eric Battenberg; Carl Case; Jared Casper; Bryan Catanzaro; Jingdong Chen; Mike Chrzanowski; Adam Coates 002; Greg Diamos; et al. (ICML, 2016)

Persistent RNNs: Stashing Recurrent Weights On-Chip. - Greg Diamos; Shubho Sengupta; Bryan Catanzaro; Mike Chrzanowski; Adam Coates 002; Erich Elsen; Jesse H. Engel; Awni Y. Hannun; Sanjeev Satheesh (ICML, 2016)

Exploring Sparsity in Recurrent Neural Networks. - Sharan Narang; Greg Diamos; Shubho Sengupta; Erich Elsen (ICLR (Poster), 2017)

Deep Voice: Real-time Neural Text-to-Speech. - Sercan Ömer Arik; Mike Chrzanowski; Adam Coates 002; Gregory Frederick Diamos; Andrew Gibiansky; Yongguo Kang; Xian Li; John Miller 001; Andrew Y. Ng; Jonathan Raiman; Shubho Sengupta; Mohammad Shoeybi (ICML, 2017)

The road to exascale AI. - Gregory F. Diamos (TIML@ISCA, 2017)

Deep Voice 2: Multi-Speaker Neural Text-to-Speech. - Andrew Gibiansky; Sercan Ömer Arik; Gregory Frederick Diamos; John Miller 001; Kainan Peng; Wei Ping; Jonathan Raiman; Yanqi Zhou (NIPS, 2017)

Deep Voice: Real-time Neural Text-to-Speech. - Sercan Ömer Arik; Mike Chrzanowski; Adam Coates 002; Greg Diamos; Andrew Gibiansky; Yongguo Kang; Xian Li; John Miller 001; Jonathan Raiman; Shubho Sengupta; Mohammad Shoeybi (CoRR, 2017)

Block-Sparse Recurrent Neural Networks. - Sharan Narang; Eric Undersander; Gregory F. Diamos (CoRR, 2017)

Deep Learning Scaling is Predictable, Empirically. - Joel Hestness; Sharan Narang; Newsha Ardalani; Gregory F. Diamos; Heewoo Jun; Hassan Kianinejad; Md. Mostofa Ali Patwary; Yang Yang; Yanqi Zhou (CoRR, 2017)

Mixed Precision Training. - Paulius Micikevicius; Sharan Narang; Jonah Alben; Gregory F. Diamos; Erich Elsen; David García; Boris Ginsburg; Michael Houston; Oleksii Kuchaiev; Ganesh Venkatesh; Hao Wu (ICLR (Poster), 2018)

Resource-Efficient Neural Architect. - Yanqi Zhou; Siavash Ebrahimi; Sercan Ömer Arik; Haonan Yu; Hairong Liu; Greg Diamos (CoRR, 2018)

Language Modeling at Scale. - Md. Mostofa Ali Patwary; Milind Chabbi; Heewoo Jun; Jiaji Huang; Greg Diamos; Kenneth Church 001 (IPDPS, 2019)

Beyond human-level accuracy: computational challenges in deep learning. - Joel Hestness; Newsha Ardalani; Gregory F. Diamos (PPoPP, 2019)

Coloring Big Graphs with AlphaGoZero. - Jiayi Huang 001; Md. Mostofa Ali Patwary; Gregory F. Diamos (CoRR, 2019)

EPNAS: Efficient Progressive Neural Architecture Search. - Yanqi Zhou; Peng Wang; Sercan Ömer Arik; Haonan Yu; Syed Zawad; Feng Yan 001; Greg Diamos (CoRR, 2019)

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)

Fast Spectrogram Inversion Using Multi-Head Convolutional Neural Networks. - Sercan Ömer Arik; Heewoo Jun; Gregory Frederick Diamos (IEEE Signal Process. Lett., 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: 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)

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)

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)

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)

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)

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)

Banishing LLM Hallucinations Requires Rethinking Generalization. - Johnny Li; Saksham Consul; Eda Zhou; James Wong; Naila Farooqui; Yuxin Ye; Nithyashree Manohar; Zhuxiaona Wei; Tian Wu; Ben Echols; Sharon Zhou; Gregory F. Diamos (CoRR, 2024)