Gregory F. Diamos

20 papers A 3B 1Journal 10Unranked 6

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. 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, Junyi Guo, Sahil S. Nalawade, Jacob Rosenthal, David Kanter, Maria Xenochristou, Daniel J. Beutel, Verena Chung, Timothy Bergquist, James A. Eddy, Abubakar Abid, Lewis Tunstall, Omar Sanseviero, Dimitrios Dimitriadis, Yiming Qian, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Srini Bala, Victor Bittorf, Sreekar Reddy Puchala, Biagio Ricciuti, Soujanya Samineni, Eshna Sengupta, Akshay Chaudhari, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Cassiano Ferro Moraes, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Abhishek Singh, Jayaraman J. Thiagarajan, Jacob Albrecht, Thomas Wolf, Geralyn Miller, Huazhu Fu, Prashant Shah, Daguang Xu, Poonam Yadav, David Talby, Mark M. Awad, Jeremy P. Howard, Michael Rosenthal, Luigi Marchionni, Massimo Loda, Jason M. Johnson, Spyridon Bakas, Peter Mattson
2021	J	`jnl`	MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation. CoRR 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, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Junyi Guo, Xinyuan Huang, David Kanter, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Jacob Rosenthal, Abhishek Singh, Jayaraman J. Thiagarajan, Anna Wuest, Maria Xenochristou, Daguang Xu, Poonam Yadav, Michael Rosenthal, Massimo Loda, Jason M. Johnson, Peter Mattson
2020	—	`conf`	MLPerf Training Benchmark. MLSys Peter Mattson, Christine Cheng, Gregory F. Diamos, Cody Coleman, Paulius Micikevicius, David A. Patterson, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks, Dehao Chen, Debo Dutta, Udit Gupta, Kim M. Hazelwood, Andy Hock, Xinyuan Huang, Daniel Kang, David Kanter, Naveen Kumar, Jeffery Liao, Deepak Narayanan, Tayo Oguntebi, Gennady Pekhimenko, Lillian Pentecost, Vijay Janapa Reddi, Taylor Robie, Tom St. John, Carole-Jean Wu, Lingjie Xu, Cliff Young, Matei Zaharia
2019	B	`conf`	Beyond human-level accuracy: computational challenges in deep learning. PPoPP Joel Hestness, Newsha Ardalani, Gregory F. Diamos
2019	J	`jnl`	Coloring Big Graphs with AlphaGoZero. CoRR Jiayi Huang, Md. Mostofa Ali Patwary, Gregory F. Diamos
2018	J	`jnl`	Fast Spectrogram Inversion using Multi-head Convolutional Neural Networks. CoRR Sercan Ömer Arik, Heewoo Jun, Gregory F. Diamos
2018	—	`conf`	Mixed Precision Training. ICLR (Poster) Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory F. Diamos, Erich Elsen, David García, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu
2017	J	`jnl`	Block-Sparse Recurrent Neural Networks. CoRR Sharan Narang, Eric Undersander, Gregory F. Diamos
2017	J	`jnl`	Deep Learning Scaling is Predictable, Empirically. CoRR Joel Hestness, Sharan Narang, Newsha Ardalani, Gregory F. Diamos, Heewoo Jun, Hassan Kianinejad, Md. Mostofa Ali Patwary, Yang Yang, Yanqi Zhou
2017	J	`jnl`	Deep Voice 2: Multi-Speaker Neural Text-to-Speech. CoRR Sercan Ömer Arik, Gregory F. Diamos, Andrew Gibiansky, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou
2017	J	`jnl`	Exploring Sparsity in Recurrent Neural Networks. CoRR Sharan Narang, Gregory F. Diamos, Shubho Sengupta, Erich Elsen
2017	J	`jnl`	Mixed Precision Training. CoRR Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory F. Diamos, Erich Elsen, David García, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu
2017	—	`conf`	The road to exascale AI. TIML@ISCA Gregory F. Diamos
2014	A	`conf`	Red Fox: An Execution Environment for Relational Query Processing on GPUs. CGO Haicheng Wu, Gregory F. Diamos, Tim Sheard, Molham Aref, Sean Baxter, Michael Garland, Sudhakar Yalamanchili
2012	J	`jnl`	Characterization and transformation of unstructured control flow in bulk synchronous GPU applications. Int. J. High Perform. Comput. Appl. Haicheng Wu, Gregory F. Diamos, Jin Wang, Si Li, Sudhakar Yalamanchili
2012	—	`conf`	Optimizing Data Warehousing Applications for GPUs Using Kernel Fusion/Fission. IPDPS Workshops Haicheng Wu, Gregory F. Diamos, Jin Wang, Srihari Cadambi, Sudhakar Yalamanchili, Srimat T. Chakradhar
2010	—	`conf`	Modeling GPU-CPU workloads and systems. GPGPU Andrew Kerr, Gregory F. Diamos, Sudhakar Yalamanchili
2010	A	`conf`	Speculative execution on multi-GPU systems. IPDPS Gregory F. Diamos, Sudhakar Yalamanchili
2009	—	`conf`	A characterization and analysis of PTX kernels. IISWC Andrew Kerr, Gregory F. Diamos, Sudhakar Yalamanchili
2008	A	`conf`	Harmony: an execution model and runtime for heterogeneous many core systems. HPDC Gregory F. Diamos, Sudhakar Yalamanchili