Analysis of ultrasonic non destructive evaluation data using singular value decomposition of the Hankel data matrix. - Timothy C. Hanshaw; Chin S. Hsu; Michael J. Anderson (ACC, 2001)

Group Redundancy Measures Reveal Redundancy Reduction in the Auditory Pathway. - Gal Chechik; Amir Globerson; Michael J. Anderson; Eric D. Young; Israel Nelken; Naftali Tishby (NIPS, 2001)

Auditory stimulus optimization with feedback from fuzzy clustering of neuronal responses. - Michael J. Anderson; Evangelia Micheli-Tzanakou (IEEE Trans. Inf. Technol. Biomed., 2002)

Performance analysis of decimal floating-point libraries and its impact on decimal hardware and software solutions. - Michael J. Anderson; Chuck Tsen; Liang-Kai Wang; Katherine Compton; Michael J. Schulte (ICCD, 2009)

Statistical static timing analysis considering leakage variability in power gated designs. - Michael J. Anderson; Azadeh Davoodi; Jungseob Lee; Abhishek A. Sinkar; Nam Sung Kim (ISLPED, 2009)

ERCBench: An Open-Source Benchmark Suite for Embedded and Reconfigurable Computing. - 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 (FPL, 2010)

PALLAS: Mapping Applications onto Manycore. - Michael J. Anderson; Bryan Catanzaro; Jike Chong; Ekaterina Gonina; Kurt Keutzer; Chao-Yue Lai; Mark Murphy; Bor-Yiing Su; Narayanan Sundaram (Multiprocessor System-on-Chip, 2011)

Considerations When Evaluating Microprocessor Platforms. - Michael J. Anderson; Bryan Catanzaro; Jike Chong; Ekaterina Gonina; Kurt Keutzer; Chao-Yue Lai; Mark Murphy; David Sheffield; Bor-Yiing Su; Narayanan Sundaram (HotPar, 2011)

Communication-Avoiding QR Decomposition for GPUs. - Michael J. Anderson; Grey Ballard; James Demmel; Kurt Keutzer (IPDPS, 2011)

Automatic generation of application-specific accelerators for FPGAs from python loop nests. - David Sheffield; Michael J. Anderson; Kurt Keutzer (FPL, 2012)

A Predictive Model for Solving Small Linear Algebra Problems in GPU Registers. - Michael J. Anderson; David Sheffield; Kurt Keutzer (IPDPS, 2012)

Measuring the gap between programmable and fixed-function accelerators: A case study on speech recognition. - Yunsup Lee; David Sheffield; Andrew Waterman; Michael J. Anderson; Kurt Keutzer; Krste Asanovic (Hot Chips Symposium, 2013)

Three Fingered Jack: Tackling Portability, Performance, and Productivity with Auto-Parallelized Python. - David Sheffield; Michael J. Anderson; Kurt Keutzer (HotPar, 2013)

Communication-minimizing 2D convolution in GPU registers. - Forrest N. Iandola; David Sheffield; Michael J. Anderson; Phitchaya Mangpo Phothilimthana; Kurt Keutzer (ICIP, 2013)

Hardware/software codesign for mobile speech recognition. - David Sheffield; Michael J. Anderson; Yunsup Lee; Kurt Keutzer (INTERSPEECH, 2013)

Flash storage integration in the IBM System z EC12 I/O drawer. - 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; et al. (IBM J. Res. Dev., 2013)

BD-CATS: big data clustering at trillion particle scale. - Md. Mostofa Ali Patwary; Surendra Byna; Nadathur Rajagopalan Satish; Narayanan Sundaram; Zarija Lukic; Vadim Roytershteyn; Michael J. Anderson; Yushu Yao; Prabhat; Pradeep Dubey (SC, 2015)

Full correlation matrix analysis of fMRI data on Intel® Xeon Phi™ coprocessors. - Yida Wang 003; Michael J. Anderson; Jonathan D. Cohen 003; Alexander Heinecke; Kai Li 001; Nadathur Satish; Narayanan Sundaram; Nicholas B. Turk-Browne; Theodore L. Willke (SC, 2015)

Parallel Efficient Sparse Matrix-Matrix Multiplication on Multicore Platforms. - Md. Mostofa Ali Patwary; Nadathur Rajagopalan Satish; Narayanan Sundaram; Jongsoo Park; Michael J. Anderson; Satya Gautam Vadlamudi; Dipankar Das 002; Sergey G. Pudov; Vadim O. Pirogov; Pradeep Dubey (ISC, 2015)

GraphMat: High performance graph analytics made productive. - Narayanan Sundaram; Nadathur Satish; Md. Mostofa Ali Patwary; Subramanya Dulloor; Michael J. Anderson; Satya Gautam Vadlamudi; Dipankar Das 002; Pradeep Dubey (Proc. VLDB Endow., 2015)

Enabling factor analysis on thousand-subject neuroimaging datasets. - Michael J. Anderson; Mihai Capota; Javier S. Turek; Xia Zhu; Theodore L. Willke; Yida Wang 003; Po-Hsuan Chen; Jeremy R. Manning; Peter J. Ramadge; Kenneth A. Norman (IEEE BigData, 2016)

Real-time full correlation matrix analysis of fMRI data. - Yida Wang 003; Bryn Keller; Mihai Capota; Michael J. Anderson; Narayanan Sundaram; Jonathan D. Cohen 003; Kai Li 001; Nicholas B. Turk-Browne; Theodore L. Willke (IEEE BigData, 2016)

Technical and market feasibility of high-speed software-reconfigurable OOFDM/DFMA-based Optical transceivers for Next Generation Access Network PONs. - Richard M. Dorward; Michael J. Anderson; Roger P. Giddings (ICTON, 2016)

GraphPad: Optimized Graph Primitives for Parallel and Distributed Platforms. - Michael J. Anderson; Narayanan Sundaram; Nadathur Satish; Md. Mostofa Ali Patwary; Theodore L. Willke; Pradeep Dubey (IPDPS, 2016)

BlackOut: Speeding up Recurrent Neural Network Language Models With Very Large Vocabularies. - Shihao Ji 001; S. V. N. Vishwanathan; Nadathur Satish; Michael J. Anderson; Pradeep Dubey (ICLR, 2016)

LDBC Graphalytics: A Benchmark for Large-Scale Graph Analysis on Parallel and Distributed Platforms. - 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; et al. (Proc. VLDB Endow., 2016)

Bridging the Gap between HPC and Big Data frameworks. - Michael J. Anderson; Shaden Smith; Narayanan Sundaram; Mihai Capota; Zheguang Zhao; Subramanya Dulloor; Nadathur Satish; Theodore L. Willke (Proc. VLDB Endow., 2017)

Clinically Deployed Distributed Magnetic Resonance Imaging Reconstruction: Application to Pediatric Knee Imaging. - Michael J. Anderson; Jonathan I. Tamir; Javier S. Turek; Marcus T. Alley; Theodore L. Willke; Shreyas S. Vasanawala; Michael Lustig (CoRR, 2018)

ISA mapper: a compute and hardware agnostic deep learning compiler. - Matthew Sotoudeh; Anand Venkat; Michael J. Anderson; Evangelos Georganas; Alexander Heinecke; Jason Knight (CF, 2019)

High-Performance Deep Learning via a Single Building Block. - Evangelos Georganas; Kunal Banerjee 001; Dhiraj D. Kalamkar; Sasikanth Avancha; Anand Venkat; Michael J. Anderson; Greg Henry; Hans Pabst; Alexander Heinecke (CoRR, 2019)

Harnessing Deep Learning via a Single Building Block. - Evangelos Georganas; Kunal Banerjee 001; Dhiraj D. Kalamkar; Sasikanth Avancha; Anand Venkat; Michael J. Anderson; Greg Henry; Hans Pabst; Alexander Heinecke (IPDPS, 2020)

The LDBC Graphalytics Benchmark. - 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; et al. (CoRR, 2020)

First-Generation Inference Accelerator Deployment at Facebook. - 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; et al. (CoRR, 2021)