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Gregory Frederick Diamos
Gregory F. Diamos – Greg Diamos
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2020 – today
- 2024
- [i21]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:
Banishing LLM Hallucinations Requires Rethinking Generalization. CoRR abs/2406.17642 (2024) - 2023
- [j4]Alexandros Karargyris
, Renato Umeton
Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. 5(7): 799-810 (2023) - [c27]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, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Raje, Max Bartolo, Evan Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Addison Howard, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, D. Sculley, Tzu-Sheng Kuo, Jonas W. Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Y. Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi:
DataPerf: Benchmarks for Data-Centric AI Development. NeurIPS 2023 - 2022
- [i20]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, Juan Ciro, Lora Aroyo, Bilge Acun, Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Tariq Kane, Christine R. Kirkpatrick, Tzu-Sheng Kuo, Jonas Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi:
DataPerf: Benchmarks for Data-Centric AI Development. CoRR abs/2207.10062 (2022) - 2021
- [c26]Daniel Galvez, Greg Diamos, Juan Torres, Keith Achorn, Juan Felipe Cerón, Anjali Gopi, David Kanter, Max Lam, Mark Mazumder, Vijay Janapa Reddi:
The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage. NeurIPS Datasets and Benchmarks 2021 - [c25]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, Josh Meyer, Vijay Janapa Reddi:
Multilingual Spoken Words Corpus. NeurIPS Datasets and Benchmarks 2021 - [i19]Vijay Janapa Reddi, Greg Diamos, Pete Warden, Peter Mattson, David Kanter:
Data Engineering for Everyone. CoRR abs/2102.11447 (2021) - [i18]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
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation. CoRR abs/2110.01406 (2021) - [i17]Daniel Galvez, Greg Diamos, Juan Ciro, Juan Felipe Cerón, Keith Achorn, Anjali Gopi, David Kanter, Maximilian Lam, Mark Mazumder, Vijay Janapa Reddi:
The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage. CoRR abs/2111.09344 (2021) - 2020
- [j3]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, Guenther Schmuelling:
MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance. IEEE Micro 40(2): 8-16 (2020) - [c24]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, Sam Davis, Pan Deng, Greg Diamos, Jared Duke, Dave Fick, J. Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B. Jablin, Jeff Jiao, Tom St. John, Pankaj Kanwar, David Lee, Jeffery Liao, Anton Lokhmotov, Francisco Massa, Peng Meng, Paulius Micikevicius, Colin Osborne, Gennady Pekhimenko, Arun Tejusve Raghunath Rajan, Dilip Sequeira, Ashish Sirasao, Fei Sun, Hanlin Tang, Michael Thomson
MLPerf Inference Benchmark. ISCA 2020: 446-459 - [c23]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:
MLPerf Training Benchmark. MLSys 2020
2010 – 2019
- 2019
- [j2]Sercan Ömer Arik
Fast Spectrogram Inversion Using Multi-Head Convolutional Neural Networks. IEEE Signal Process. Lett. 26(1): 94-98 (2019) - [c22]Md. Mostofa Ali Patwary, Milind Chabbi, Heewoo Jun, Jiaji Huang, Greg Diamos, Kenneth Church
Language Modeling at Scale. IPDPS 2019: 590-599 - [c21]Joel Hestness, Newsha Ardalani, Gregory F. Diamos:
Beyond human-level accuracy: computational challenges in deep learning. PPoPP 2019: 1-14 - [i16]Jiayi Huang
Coloring Big Graphs with AlphaGoZero. CoRR abs/1902.10162 (2019) - [i15]Yanqi Zhou, Peng Wang, Sercan Ömer Arik, Haonan Yu, Syed Zawad, Feng Yan, Greg Diamos:
EPNAS: Efficient Progressive Neural Architecture Search. CoRR abs/1907.04648 (2019) - [i14]Joel Hestness, Newsha Ardalani, Greg Diamos:
Beyond Human-Level Accuracy: Computational Challenges in Deep Learning. CoRR abs/1909.01736 (2019) - [i13]Peter Mattson, Christine Cheng, Cody Coleman, Greg Diamos, Paulius Micikevicius, David A. Patterson, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks, Dehao Chen, Debojyoti Dutta, Udit Gupta, Kim M. Hazelwood, Andrew Hock, Xinyuan Huang, Bill Jia, Daniel Kang, David Kanter, Naveen Kumar, Jeffery Liao, Guokai Ma, 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:
MLPerf Training Benchmark. CoRR abs/1910.01500 (2019) - [i12]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, Sam Davis, Pan Deng, Greg Diamos, Jared Duke, Dave Fick, J. Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B. Jablin, Jeff Jiao, Tom St. John, Pankaj Kanwar, David Lee, Jeffery Liao, Anton Lokhmotov, Francisco Massa, Peng Meng, Paulius Micikevicius, Colin Osborne, Gennady Pekhimenko, Arun Tejusve Raghunath Rajan, Dilip Sequeira, Ashish Sirasao, Fei Sun, Hanlin Tang, Michael Thomson, Frank Wei, Ephrem Wu, Lingjie Xu, Koichi Yamada, Bing Yu, George Yuan, Aaron Zhong, Peizhao Zhang, Yuchen Zhou:
MLPerf Inference Benchmark. CoRR abs/1911.02549 (2019) - 2018
- [c20]Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory F. Diamos, Erich Elsen, David García, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu:
Mixed Precision Training. ICLR (Poster) 2018 - [i11]Yanqi Zhou, Siavash Ebrahimi, Sercan Ömer Arik, Haonan Yu, Hairong Liu, Greg Diamos:
Resource-Efficient Neural Architect. CoRR abs/1806.07912 (2018) - [i10]Sercan Ömer Arik, Heewoo Jun, Gregory F. Diamos:
Fast Spectrogram Inversion using Multi-head Convolutional Neural Networks. CoRR abs/1808.06719 (2018) - [i9]Md. Mostofa Ali Patwary, Milind Chabbi, Heewoo Jun, Jiaji Huang, Gregory Frederick Diamos, Kenneth Church:
Language Modeling at Scale. CoRR abs/1810.10045 (2018) - 2017
- [c19]Sharan Narang, Greg Diamos, Shubho Sengupta, Erich Elsen:
Exploring Sparsity in Recurrent Neural Networks. ICLR (Poster) 2017 - [c18]Sercan Ömer Arik, Mike Chrzanowski, Adam Coates, Gregory Frederick Diamos, Andrew Gibiansky, Yongguo Kang, Xian Li, John Miller, Andrew Y. Ng, Jonathan Raiman, Shubho Sengupta, Mohammad Shoeybi:
Deep Voice: Real-time Neural Text-to-Speech. ICML 2017: 195-204 - [c17]Gregory F. Diamos:
The road to exascale AI. TIML@ISCA 2017: 13 - [c16]Andrew Gibiansky, Sercan Ömer Arik, Gregory Frederick Diamos, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou:
Deep Voice 2: Multi-Speaker Neural Text-to-Speech. NIPS 2017: 2962-2970 - [i8]Sercan Ömer Arik, Mike Chrzanowski, Adam Coates, Greg Diamos, Andrew Gibiansky, Yongguo Kang, Xian Li, John Miller, Jonathan Raiman, Shubho Sengupta, Mohammad Shoeybi:
Deep Voice: Real-time Neural Text-to-Speech. CoRR abs/1702.07825 (2017) - [i7]Sharan Narang, Gregory F. Diamos, Shubho Sengupta, Erich Elsen:
Exploring Sparsity in Recurrent Neural Networks. CoRR abs/1704.05119 (2017) - [i6]Sercan Ömer Arik, Gregory F. Diamos, Andrew Gibiansky, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou:
Deep Voice 2: Multi-Speaker Neural Text-to-Speech. CoRR abs/1705.08947 (2017) - [i5]Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory F. Diamos, Erich Elsen, David García, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu:
Mixed Precision Training. CoRR abs/1710.03740 (2017) - [i4]Sharan Narang, Eric Undersander, Gregory F. Diamos:
Block-Sparse Recurrent Neural Networks. CoRR abs/1711.02782 (2017) - [i3]Joel Hestness, Sharan Narang, Newsha Ardalani, Gregory F. Diamos, Heewoo Jun, Hassan Kianinejad, Md. Mostofa Ali Patwary, Yang Yang, Yanqi Zhou:
Deep Learning Scaling is Predictable, Empirically. CoRR abs/1712.00409 (2017) - 2016
- [c15]Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai, Jingliang Bai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Awni Y. Hannun, Billy Jun, Tony Han, Patrick LeGresley, Xiangang Li, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Sheng Qian, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Chong Wang, Yi Wang, Zhiqian Wang, Bo Xiao, Yan Xie, Dani Yogatama, Jun Zhan, Zhenyao Zhu:
Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin. ICML 2016: 173-182 - [c14]Greg Diamos, Shubho Sengupta, Bryan Catanzaro, Mike Chrzanowski, Adam Coates, Erich Elsen, Jesse H. Engel, Awni Y. Hannun, Sanjeev Satheesh:
Persistent RNNs: Stashing Recurrent Weights On-Chip. ICML 2016: 2024-2033 - 2015
- [i2]Dario Amodei, Rishita Anubhai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Tony Han, Awni Y. Hannun, Billy Jun, Patrick LeGresley, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Yi Wang, Zhiqian Wang, Chong Wang, Bo Xiao, Dani Yogatama, Jun Zhan, Zhenyao Zhu:
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin. CoRR abs/1512.02595 (2015) - 2014
- [c13]Haicheng Wu, Gregory F. Diamos, Tim Sheard, Molham Aref, Sean Baxter, Michael Garland, Sudhakar Yalamanchili:
Red Fox: An Execution Environment for Relational Query Processing on GPUs. CGO 2014: 44 - [i1]Awni Y. Hannun, Carl Case, Jared Casper, Bryan Catanzaro, Greg Diamos, Erich Elsen, Ryan Prenger, Sanjeev Satheesh, Shubho Sengupta, Adam Coates, Andrew Y. Ng:
Deep Speech: Scaling up end-to-end speech recognition. CoRR abs/1412.5567 (2014) - 2013
- [c12]Gregory Frederick Diamos, Haicheng Wu, Jin Wang, Ashwin Sanjay Lele, Sudhakar Yalamanchili:
Relational algorithms for multi-bulk-synchronous processors. PPoPP 2013: 301-302 - 2012
- [j1]Haicheng Wu, Gregory F. Diamos, Jin Wang, Si Li, Sudhakar Yalamanchili:
Characterization and transformation of unstructured control flow in bulk synchronous GPU applications. Int. J. High Perform. Comput. Appl. 26(2): 170-185 (2012) - [c11]Andrew Kerr, Gregory Frederick Diamos, Sudhakar Yalamanchili:
Dynamic compilation of data-parallel kernels for vector processors. CGO 2012: 23-32 - [c10]Haicheng Wu
Optimizing Data Warehousing Applications for GPUs Using Kernel Fusion/Fission. IPDPS Workshops 2012: 2433-2442 - [c9]Nicolas Brunie
Simultaneous branch and warp interweaving for sustained GPU performance. ISCA 2012: 49-60 - [c8]Haicheng Wu, Gregory Frederick Diamos, Srihari Cadambi, Sudhakar Yalamanchili:
Kernel Weaver: Automatically Fusing Database Primitives for Efficient GPU Computation. MICRO 2012: 107-118 - 2011
- [b1]Gregory Frederick Diamos:
Harmony: an execution model for heterogeneous systems. Georgia Institute of Technology, Atlanta, GA, USA, 2011 - [c7]Naila Farooqui, Andrew Kerr, Gregory Frederick Diamos, Sudhakar Yalamanchili, Karsten Schwan:
A framework for dynamically instrumenting GPU compute applications within GPU Ocelot. GPGPU 2011: 9 - [c6]Gregory Frederick Diamos, Benjamin Ashbaugh, Subramaniam Maiyuran, Andrew Kerr, Haicheng Wu
SIMD re-convergence at thread frontiers. MICRO 2011: 477-488 - 2010
- [c5]Gregory Frederick Diamos, Andrew Kerr, Sudhakar Yalamanchili, Nathan Clark:
Ocelot: a dynamic optimization framework for bulk-synchronous applications in heterogeneous systems. PACT 2010: 353-364 - [c4]Andrew Kerr, Gregory F. Diamos, Sudhakar Yalamanchili:
Modeling GPU-CPU workloads and systems. GPGPU 2010: 31-42 - [c3]Gregory F. Diamos, Sudhakar Yalamanchili:
Speculative execution on multi-GPU systems. IPDPS 2010: 1-12
2000 – 2009
- 2009
- [c2]Andrew Kerr, Gregory F. Diamos, Sudhakar Yalamanchili:
A characterization and analysis of PTX kernels. IISWC 2009: 3-12 - 2008
- [c1]Gregory F. Diamos, Sudhakar Yalamanchili:
Harmony: an execution model and runtime for heterogeneous many core systems. HPDC 2008: 197-200
Coauthor Index
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last updated on 2024-11-06 20:29 CET by the dblp team
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