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Speculative execution on multi-GPU systems.
Gregory F. Diamos, Sudhakar Yalamanchili: Speculative execution on multi-GPU systems. IPDPS 2010: 1-12
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Modeling GPU-CPU workloads and systems.
Andrew Kerr, Gregory F. Diamos, Sudhakar Yalamanchili: Modeling GPU-CPU workloads and systems. GPGPU 2010: 31-42
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Ocelot: a dynamic optimization framework for bulk-synchronous applications in...
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
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SIMD re-convergence at thread frontiers.
Gregory Frederick Diamos, Benjamin Ashbaugh, Subramaniam Maiyuran, Andrew Kerr, Haicheng Wu, Sudhakar Yalamanchili: SIMD re-convergence at thread frontiers. MICRO 2011: 477-488
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A framework for dynamically instrumenting GPU compute applications within GPU...
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
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Harmony: an execution model for heterogeneous systems.
Gregory Frederick Diamos: Harmony: an execution model for heterogeneous systems. Georgia Institute of Technology, Atlanta, GA, USA, 2011
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Kernel Weaver: Automatically Fusing Database Primitives for Efficient GPU...
Haicheng Wu, Gregory Frederick Diamos, Srihari Cadambi, Sudhakar Yalamanchili: Kernel Weaver: Automatically Fusing Database Primitives for Efficient GPU Computation. MICRO 2012: 107-118
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Simultaneous branch and warp interweaving for sustained GPU performance.
Nicolas Brunie, Caroline Collange, Gregory Frederick Diamos: Simultaneous branch and warp interweaving for sustained GPU performance. ISCA 2012: 49-60
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Optimizing Data Warehousing Applications for GPUs Using Kernel Fusion/Fission.
Haicheng Wu, Gregory F. Diamos, Jin Wang, Srihari Cadambi, Sudhakar Yalamanchili, Srimat T. Chakradhar: Optimizing Data Warehousing Applications for GPUs Using Kernel Fusion/Fission. IPDPS Workshops...
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Dynamic compilation of data-parallel kernels for vector processors.
Andrew Kerr, Gregory Frederick Diamos, Sudhakar Yalamanchili: Dynamic compilation of data-parallel kernels for vector processors. CGO 2012: 23-32
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Characterization and transformation of unstructured control flow in bulk...
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....
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Relational algorithms for multi-bulk-synchronous processors.
Gregory Frederick Diamos, Haicheng Wu, Jin Wang, Ashwin Sanjay Lele, Sudhakar Yalamanchili: Relational algorithms for multi-bulk-synchronous processors. PPoPP 2013: 301-302
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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, Andrew Y. Ng: Deep Speech: Scaling up end-to-end speech...
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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: Red Fox: An Execution Environment for Relational Query Processing on GPUs. CGO 2014: 44
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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, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher...
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Persistent RNNs: Stashing Recurrent Weights On-Chip.
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...
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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, Greg Diamos, Erich...
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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: Deep Learning Scaling is Predictable, Empirically. CoRR...
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Block-Sparse Recurrent Neural Networks.
Sharan Narang, Eric Undersander, Gregory F. Diamos: Block-Sparse Recurrent Neural Networks. CoRR abs/1711.02782 (2017)
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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: Mixed Precision Training....
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Deep Voice 2: Multi-Speaker Neural Text-to-Speech.
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)
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Exploring Sparsity in Recurrent Neural Networks.
Sharan Narang, Gregory F. Diamos, Shubho Sengupta, Erich Elsen: Exploring Sparsity in Recurrent Neural Networks. CoRR abs/1704.05119 (2017)
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Deep Voice: Real-time Neural Text-to-Speech.
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...
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Deep Voice 2: Multi-Speaker Neural Text-to-Speech.
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
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The road to exascale AI.
Gregory F. Diamos: The road to exascale AI. TIML@ISCA 2017: 13
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Deep Voice: Real-time Neural Text-to-Speech.
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...
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Exploring Sparsity in Recurrent Neural Networks.
Sharan Narang, Greg Diamos, Shubho Sengupta, Erich Elsen: Exploring Sparsity in Recurrent Neural Networks. ICLR (Poster) 2017
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Language Modeling at Scale.
Md. Mostofa Ali Patwary, Milind Chabbi, Heewoo Jun, Jiaji Huang, Gregory Frederick Diamos, Kenneth Church: Language Modeling at Scale. CoRR abs/1810.10045 (2018)
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Fast Spectrogram Inversion using Multi-head Convolutional Neural Networks.
Sercan Ömer Arik, Heewoo Jun, Gregory F. Diamos: Fast Spectrogram Inversion using Multi-head Convolutional Neural Networks. CoRR abs/1808.06719 (2018)
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Resource-Efficient Neural Architect.
Yanqi Zhou, Siavash Ebrahimi, Sercan Ömer Arik, Haonan Yu, Hairong Liu, Greg Diamos: Resource-Efficient Neural Architect. CoRR abs/1806.07912 (2018)
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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: Mixed Precision Training....
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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,...
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MLPerf Training Benchmark.
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,...
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Beyond Human-Level Accuracy: Computational Challenges in Deep Learning.
Joel Hestness, Newsha Ardalani, Greg Diamos: Beyond Human-Level Accuracy: Computational Challenges in Deep Learning. CoRR abs/1909.01736 (2019)
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EPNAS: Efficient Progressive Neural Architecture Search.
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)
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Coloring Big Graphs with AlphaGoZero.
Jiayi Huang, Md. Mostofa Ali Patwary, Gregory F. Diamos: Coloring Big Graphs with AlphaGoZero. CoRR abs/1902.10162 (2019)
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Beyond human-level accuracy: computational challenges in deep learning.
Joel Hestness, Newsha Ardalani, Gregory F. Diamos: Beyond human-level accuracy: computational challenges in deep learning. PPoPP 2019: 1-14
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Language Modeling at Scale.
Md. Mostofa Ali Patwary, Milind Chabbi, Heewoo Jun, Jiaji Huang, Greg Diamos, Kenneth Church: Language Modeling at Scale. IPDPS 2019: 590-599
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Fast Spectrogram Inversion Using Multi-Head Convolutional Neural Networks.
Sercan Ömer Arik, Heewoo Jun, Gregory Frederick Diamos: Fast Spectrogram Inversion Using Multi-Head Convolutional Neural Networks. IEEE Signal Process. Lett. 26(1): 94-98 (2019)
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MLPerf Training Benchmark.
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,...
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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,...
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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, Guenther Schmuelling:...
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The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset...
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...
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MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using...
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...
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Data Engineering for Everyone.
Vijay Janapa Reddi, Greg Diamos, Pete Warden, Peter Mattson, David Kanter: Data Engineering for Everyone. CoRR abs/2102.11447 (2021)
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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, Josh Meyer, Vijay Janapa...
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The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset...
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...
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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, Juan Ciro,...
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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...
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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, Douwe...
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