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Michael J. Anderson
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2020 – today
- 2021
- [i6]Michael J. Anderson, Benny Chen, Stephen Chen, Summer Deng, Jordan Fix, Michael Gschwind, Aravind Kalaiah, Changkyu Kim, Jaewon Lee, Jason Liang, Haixin Liu, Yinghai Lu, Jack Montgomery, Arun Moorthy, Nadathur Satish, Sam Naghshineh, Avinash Nayak, Jongsoo Park, Chris Petersen, Martin Schatz, Narayanan Sundaram, Bangsheng Tang, Peter Tang, Amy Yang, Jiecao Yu, Hector Yuen, Ying Zhang, Aravind Anbudurai, Vandana Balan, Harsha Bojja, Joe Boyd, Matthew Breitbach, Claudio Caldato, Anna Calvo, Garret Catron, Sneh Chandwani, Panos Christeas, Brad Cottel, Brian Coutinho, Arun Dalli, Abhishek Dhanotia, Oniel Duncan, Roman Dzhabarov, Simon Elmir, Chunli Fu, Wenyin Fu, Michael Fulthorp, Adi Gangidi, Nick Gibson, Sean Gordon, Beatriz Padilla Hernandez, Daniel Ho, Yu-Cheng Huang, Olof Johansson, Shishir Juluri, et al.:
First-Generation Inference Accelerator Deployment at Facebook. CoRR abs/2107.04140 (2021) - 2020
- [c23]Evangelos Georganas, Kunal Banerjee, Dhiraj D. Kalamkar, Sasikanth Avancha, Anand Venkat, Michael J. Anderson, Greg Henry, Hans Pabst, Alexander Heinecke:
Harnessing Deep Learning via a Single Building Block. IPDPS 2020: 222-233 - [i5]Alexandru Iosup, Ahmed Musaafir, Alexandru Uta, Arnau Prat-Pérez, Gábor Szárnyas, Hassan Chafi, Ilie Gabriel Tanase, Lifeng Nai, Michael J. Anderson, Mihai Capota, Narayanan Sundaram, Peter A. Boncz, Siegfried Depner, Stijn Heldens, Thomas Manhardt, Tim Hegeman, Wing Lung Ngai, Yinglong Xia:
The LDBC Graphalytics Benchmark. CoRR abs/2011.15028 (2020)
2010 – 2019
- 2019
- [c22]Matthew Sotoudeh, Anand Venkat, Michael J. Anderson, Evangelos Georganas, Alexander Heinecke, Jason Knight:
ISA mapper: a compute and hardware agnostic deep learning compiler. CF 2019: 164-173 - [i4]Evangelos Georganas, Kunal Banerjee, Dhiraj D. Kalamkar, Sasikanth Avancha, Anand Venkat, Michael J. Anderson, Greg Henry, Hans Pabst, Alexander Heinecke:
High-Performance Deep Learning via a Single Building Block. CoRR abs/1906.06440 (2019) - 2018
- [i3]Michael J. Anderson, Jonathan I. Tamir, Javier S. Turek, Marcus T. Alley, Theodore L. Willke, Shreyas S. Vasanawala, Michael Lustig:
Clinically Deployed Distributed Magnetic Resonance Imaging Reconstruction: Application to Pediatric Knee Imaging. CoRR abs/1809.04195 (2018) - [i2]Matthew Sotoudeh, Anand Venkat, Michael J. Anderson, Evangelos Georganas, Alexander Heinecke, Jason Knight:
ISA Mapper: A Compute and Hardware Agnostic Deep Learning Compiler. CoRR abs/1810.09958 (2018) - 2017
- [j5]Michael J. Anderson, Shaden Smith, Narayanan Sundaram, Mihai Capota, Zheguang Zhao, Subramanya Dulloor, Nadathur Satish, Theodore L. Willke:
Bridging the Gap between HPC and Big Data frameworks. Proc. VLDB Endow. 10(8): 901-912 (2017) - 2016
- [j4]Alexandru Iosup, Tim Hegeman, Wing Lung Ngai, Stijn Heldens, Arnau Prat-Pérez, Thomas Manhardt, Hassan Chafi, Mihai Capota, Narayanan Sundaram, Michael J. Anderson, Ilie Gabriel Tanase, Yinglong Xia, Lifeng Nai, Peter A. Boncz:
LDBC Graphalytics: A Benchmark for Large-Scale Graph Analysis on Parallel and Distributed Platforms. Proc. VLDB Endow. 9(13): 1317-1328 (2016) - [c21]Michael J. Anderson, Mihai Capota, Javier S. Turek, Xia Zhu, Theodore L. Willke, Yida Wang, Po-Hsuan Chen, Jeremy R. Manning, Peter J. Ramadge, Kenneth A. Norman:
Enabling factor analysis on thousand-subject neuroimaging datasets. IEEE BigData 2016: 1151-1160 - [c20]Yida Wang, Bryn Keller, Mihai Capota, Michael J. Anderson, Narayanan Sundaram, Jonathan D. Cohen, Kai Li, Nicholas B. Turk-Browne, Theodore L. Willke:
Real-time full correlation matrix analysis of fMRI data. IEEE BigData 2016: 1242-1251 - [c19]Richard M. Dorward, Michael J. Anderson, Roger P. Giddings:
Technical and market feasibility of high-speed software-reconfigurable OOFDM/DFMA-based Optical transceivers for Next Generation Access Network PONs. ICTON 2016: 1-4 - [c18]Michael J. Anderson, Narayanan Sundaram, Nadathur Satish, Md. Mostofa Ali Patwary, Theodore L. Willke, Pradeep Dubey:
GraphPad: Optimized Graph Primitives for Parallel and Distributed Platforms. IPDPS 2016: 313-322 - [c17]Shihao Ji, S. V. N. Vishwanathan, Nadathur Satish, Michael J. Anderson, Pradeep Dubey:
BlackOut: Speeding up Recurrent Neural Network Language Models With Very Large Vocabularies. ICLR 2016 - [i1]Michael J. Anderson, Mihai Capota, Javier S. Turek, Xia Zhu, Theodore L. Willke, Yida Wang, Po-Hsuan Chen, Jeremy R. Manning, Peter J. Ramadge, Kenneth A. Norman:
Enabling Factor Analysis on Thousand-Subject Neuroimaging Datasets. CoRR abs/1608.04647 (2016) - 2015
- [j3]Narayanan Sundaram, Nadathur Satish, Md. Mostofa Ali Patwary, Subramanya Dulloor, Michael J. Anderson, Satya Gautam Vadlamudi, Dipankar Das, Pradeep Dubey:
GraphMat: High performance graph analytics made productive. Proc. VLDB Endow. 8(11): 1214-1225 (2015) - [c16]Md. Mostofa Ali Patwary, Surendra Byna, Nadathur Rajagopalan Satish, Narayanan Sundaram, Zarija Lukic, Vadim Roytershteyn, Michael J. Anderson, Yushu Yao, Prabhat, Pradeep Dubey:
BD-CATS: big data clustering at trillion particle scale. SC 2015: 6:1-6:12 - [c15]Yida Wang, Michael J. Anderson, Jonathan D. Cohen, Alexander Heinecke, Kai Li, Nadathur Satish, Narayanan Sundaram, Nicholas B. Turk-Browne, Theodore L. Willke:
Full correlation matrix analysis of fMRI data on Intel® Xeon Phi™ coprocessors. SC 2015: 23:1-23:12 - [c14]Md. Mostofa Ali Patwary, Nadathur Rajagopalan Satish, Narayanan Sundaram, Jongsoo Park, Michael J. Anderson, Satya Gautam Vadlamudi, Dipankar Das, Sergey G. Pudov, Vadim O. Pirogov, Pradeep Dubey:
Parallel Efficient Sparse Matrix-Matrix Multiplication on Multicore Platforms. ISC 2015: 48-57 - 2013
- [j2]Edward W. Chencinski, Michael J. Anderson, Lee Cleveland, Jim Coon, David Craddock, R. E. Galbraith, Thomas A. Gregg, Thomas B. Mathias, D. F. Moertl, K. J. Oakes, M. Sabins, G. E. Sittmann, Peter G. Sutton, P. Szwed, Gary A. Tressler, Elpida Tzortzatos, Andrew Walls:
Flash storage integration in the IBM System z EC12 I/O drawer. IBM J. Res. Dev. 57(6) (2013) - [c13]Yunsup Lee, David Sheffield, Andrew Waterman, Michael J. Anderson, Kurt Keutzer, Krste Asanovic:
Measuring the gap between programmable and fixed-function accelerators: A case study on speech recognition. Hot Chips Symposium 2013: 1-2 - [c12]David Sheffield, Michael J. Anderson, Kurt Keutzer:
Three Fingered Jack: Tackling Portability, Performance, and Productivity with Auto-Parallelized Python. HotPar 2013 - [c11]Forrest N. Iandola, David Sheffield, Michael J. Anderson, Phitchaya Mangpo Phothilimthana, Kurt Keutzer:
Communication-minimizing 2D convolution in GPU registers. ICIP 2013: 2116-2120 - [c10]David Sheffield, Michael J. Anderson, Yunsup Lee, Kurt Keutzer:
Hardware/software codesign for mobile speech recognition. INTERSPEECH 2013: 627-631 - 2012
- [c9]David Sheffield, Michael J. Anderson, Kurt Keutzer:
Automatic generation of application-specific accelerators for FPGAs from python loop nests. FPL 2012: 567-570 - [c8]Michael J. Anderson, David Sheffield, Kurt Keutzer:
A Predictive Model for Solving Small Linear Algebra Problems in GPU Registers. IPDPS 2012: 2-13 - 2011
- [c7]Michael J. Anderson, Bryan Catanzaro, Jike Chong, Ekaterina Gonina, Kurt Keutzer, Chao-Yue Lai, Mark Murphy, David Sheffield, Bor-Yiing Su, Narayanan Sundaram:
Considerations When Evaluating Microprocessor Platforms. HotPar 2011 - [c6]Michael J. Anderson, Grey Ballard, James Demmel, Kurt Keutzer:
Communication-Avoiding QR Decomposition for GPUs. IPDPS 2011: 48-58 - [p1]Michael J. Anderson, Bryan Catanzaro, Jike Chong, Ekaterina Gonina, Kurt Keutzer, Chao-Yue Lai, Mark Murphy, Bor-Yiing Su, Narayanan Sundaram:
PALLAS: Mapping Applications onto Manycore. Multiprocessor System-on-Chip 2011: 89-113 - 2010
- [c5]Daniel W. Chang, Christipher D. Jenkins, Philip C. Garcia, Syed Zohaib Gilani, Paula Aguilera, Aishwarya Nagarajan, Michael J. Anderson, Matthew A. Kenny, Sean M. Bauer, Michael J. Schulte, Katherine Compton:
ERCBench: An Open-Source Benchmark Suite for Embedded and Reconfigurable Computing. FPL 2010: 408-413
2000 – 2009
- 2009
- [c4]Michael J. Anderson, Chuck Tsen, Liang-Kai Wang, Katherine Compton, Michael J. Schulte:
Performance analysis of decimal floating-point libraries and its impact on decimal hardware and software solutions. ICCD 2009: 465-471 - [c3]Michael J. Anderson, Azadeh Davoodi, Jungseob Lee, Abhishek A. Sinkar, Nam Sung Kim:
Statistical static timing analysis considering leakage variability in power gated designs. ISLPED 2009: 57-62 - 2002
- [j1]Michael J. Anderson, Evangelia Micheli-Tzanakou:
Auditory stimulus optimization with feedback from fuzzy clustering of neuronal responses. IEEE Trans. Inf. Technol. Biomed. 6(2): 159-170 (2002) - 2001
- [c2]Timothy C. Hanshaw, Chin S. Hsu, Michael J. Anderson:
Analysis of ultrasonic non destructive evaluation data using singular value decomposition of the Hankel data matrix. ACC 2001: 3672-3677 - [c1]Gal Chechik, Amir Globerson, Michael J. Anderson, Eric D. Young, Israel Nelken, Naftali Tishby:
Group Redundancy Measures Reveal Redundancy Reduction in the Auditory Pathway. NIPS 2001: 173-180
Coauthor Index
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