Michael J. Anderson

Most-cited papers

GraphMat: High performance graph analytics made productive
N. Sundaram, N. Satish, Md. Mostofa Ali Patwary, Subramanya R. Dulloor +4 more
2015Proceedings of the VLDB Endowment347 citations
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LDBC Graphalytics: A Benchmark for Large-Scale Graph Analysis on Parallel and Distributed Platforms
A. Iosup, T. Hegeman, Wing-Lung Ngai, Stijn Heldens +10 more
2016Proceedings of the VLDB Endowment170 citations Open access
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Communication-Avoiding QR Decomposition for GPUs
Michael J. Anderson, Grey Ballard, J. Demmel, K. Keutzer
2011IEEE International Parallel and Distributed Processing Symposium108 citations
Semantic Scholar
BlackOut: Speeding up Recurrent Neural Network Language Models With Very Large Vocabularies
Shihao Ji, S. Vishwanathan, N. Satish, Michael J. Anderson +1 more
2015International Conference on Learning Representations77 citations
Semantic Scholar
BD-CATS: big data clustering at trillion particle scale
Md. Mostofa Ali Patwary, S. Byna, N. Satish, N. Sundaram +6 more
2015International Conference for High Performance Computing, Networking, Storage and Analysis72 citations Open access
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Parallel Efficient Sparse Matrix-Matrix Multiplication on Multicore Platforms
Md. Mostofa Ali Patwary, N. Satish, N. Sundaram, Jongsoo Park +6 more
2015ISC High Performance66 citations
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GraphPad: Optimized Graph Primitives for Parallel and Distributed Platforms
Michael J. Anderson, N. Sundaram, N. Satish, Md. Mostofa Ali Patwary +2 more
2016IEEE International Parallel and Distributed Processing Symposium63 citations
Semantic Scholar
Bridging the Gap between HPC and Big Data frameworks
Michael J. Anderson, Shaden Smith, N. Sundaram, Mihai Capotă +4 more
2017Proceedings of the VLDB Endowment60 citations
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BrainIAK: The Brain Imaging Analysis Kit
Manoj Kumar, Michael J. Anderson, J. Antony, Christopher A. Baldassano +34 more
2020Aperture neuro56 citations Open access
Semantic Scholar
A Predictive Model for Solving Small Linear Algebra Problems in GPU Registers
Michael J. Anderson, David Sheffield, K. Keutzer
2012IEEE International Parallel and Distributed Processing Symposium56 citations
Semantic Scholar
First-Generation Inference Accelerator Deployment at Facebook
Michael J. Anderson, Benny Chen, Stephen Chen, Summer Deng +110 more
2021arXiv.org33 citations
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Communication-minimizing 2D convolution in GPU registers
Forrest N. Iandola, David Sheffield, Michael J. Anderson, P. Phothilimthana +1 more
20132013 IEEE International Conference on Image Processing31 citations
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Harnessing Deep Learning via a Single Building Block
E. Georganas, K. Banerjee, Dhiraj D. Kalamkar, Sasikanth Avancha +5 more
2020IEEE International Parallel and Distributed Processing Symposium29 citations
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2016 Ieee International Conference on Big Data (big Data) Enabling Factor Analysis on Thousand-subject Neuroimaging Datasets
Michael J. Anderson, Mihai Capot, Javier Turek, Xia Zhu +6 more
19 citations
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Full correlation matrix analysis of fMRI data on Intel® Xeon Phi™ coprocessors
Yi-Da Wang, Michael J. Anderson, J. Cohen, A. Heinecke +5 more
2015International Conference for High Performance Computing, Networking, Storage and Analysis16 citations Open access
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High-Performance Deep Learning via a Single Building Block
E. Georganas, K. Banerjee, Dhiraj D. Kalamkar, Sasikanth Avancha +5 more
2019arXiv.org14 citations
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Automatic generation of application-specific accelerators for FPGAs from python loop nests
David Sheffield, Michael J. Anderson, K. Keutzer
2012International Conference on Field-Programmable Logic and Applications13 citations
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The LDBC Graphalytics Benchmark
A. Iosup, Ahmed Musaafir, Alexandru Uta, Arnau Prat-Pérez +14 more
2020arXiv.org12 citations
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ISA mapper: a compute and hardware agnostic deep learning compiler
Matthew Sotoudeh, Anand Venkat, Michael J. Anderson, E. Georganas +2 more
2018ACM International Conference on Computing Frontiers10 citations Open access
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Considerations When Evaluating Microprocessor Platforms
Michael J. Anderson, Bryan Catanzaro, Ji-Ke Chong, E. Gonina +6 more
2011USENIX Conference on Hot Topics in Parallelism8 citations
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A Framework for Composing High-Performance OpenCL from Python Descriptions
Michael J. Anderson
20143 citations
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Hardware/software codesign for mobile speech recognition
David Sheffield, Michael J. Anderson, Yunsup Lee, K. Keutzer
2013Interspeech3 citations
Semantic Scholar
PALLAS: Mapping Applications onto Manycore
Michael J. Anderson, Bryan Catanzaro, Ji-Ke Chong, E. Gonina +5 more
2011Multiprocessor System-on-Chip2 citations
Semantic Scholar
Should you trust your RSA result? A Bayesian method for reducing bias in neural representational similarity analysis.
M. Cai, Nicolas W. Schuck, Michael J. Anderson, J. Pillow +1 more
20171 citations Open access
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Measuring the gap between programmable and fixed-function accelerators: A case study on speech recognition
Yunsup Lee, David Sheffield, Andrew Waterman, Michael J. Anderson +2 more
2013IEEE Hot Chips Symposium1 citations
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Three Fingered Jack: Tackling Portability, Performance, and Productivity with Auto-Parallelized Python
David Sheffield, Michael J. Anderson, K. Keutzer
2013USENIX Conference on Hot Topics in Parallelism1 citations
Semantic Scholar
MIRGE: An Array-Based Computational Framework for Scientific Computing
Matthias Diener, Matthew J. Smith, M. T. Campbell, K. Kulkarni +5 more
2025arXiv.org0 citations
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Deep Learning Workload Performance Auto-Optimizer
Connie Y. Miao, A. Yang, Michael J. Anderson
20200 citations
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Framework Design Pattern Pattern Language
Michael J. Anderson, Bryan Catanzaro, Ji-Ke Chong, E. Gonina +6 more
20130 citations
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Chapter 4 PALLAS : Mapping Applications onto Manycore
Michael J. Anderson, Bryan Catanzaro, Ji-Ke Chong, E. Gonina +5 more
20100 citations
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