Michael J. Anderson

According to our database1, Michael J. Anderson authored at least 29 papers between 2002 and 2019.

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Bibliography

2019
High-Performance Deep Learning via a Single Building Block.
CoRR, 2019

ISA mapper: a compute and hardware agnostic deep learning compiler.
Proceedings of the 16th ACM International Conference on Computing Frontiers, 2019

2018
ISA Mapper: A Compute and Hardware Agnostic Deep Learning Compiler.
CoRR, 2018

Clinically Deployed Distributed Magnetic Resonance Imaging Reconstruction: Application to Pediatric Knee Imaging.
CoRR, 2018

2017
Bridging the Gap between HPC and Big Data frameworks.
PVLDB, 2017

2016
LDBC Graphalytics: A Benchmark for Large-Scale Graph Analysis on Parallel and Distributed Platforms.
PVLDB, 2016

BlackOut: Speeding up Recurrent Neural Network Language Models With Very Large Vocabularies.
Proceedings of the 4th International Conference on Learning Representations, 2016

Enabling Factor Analysis on Thousand-Subject Neuroimaging Datasets.
CoRR, 2016

GraphPad: Optimized Graph Primitives for Parallel and Distributed Platforms.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

Real-time full correlation matrix analysis of fMRI data.
Proceedings of the 2016 IEEE International Conference on Big Data, 2016

Enabling factor analysis on thousand-subject neuroimaging datasets.
Proceedings of the 2016 IEEE International Conference on Big Data, 2016

2015
GraphMat: High performance graph analytics made productive.
PVLDB, 2015

Parallel Efficient Sparse Matrix-Matrix Multiplication on Multicore Platforms.
Proceedings of the High Performance Computing - 30th International Conference, 2015

Full correlation matrix analysis of fMRI data on Intel® Xeon Phi™ coprocessors.
Proceedings of the International Conference for High Performance Computing, 2015

BD-CATS: big data clustering at trillion particle scale.
Proceedings of the International Conference for High Performance Computing, 2015

2013
Flash storage integration in the IBM System z EC12 I/O drawer.
IBM Journal of Research and Development, 2013

Hardware/software codesign for mobile speech recognition.
Proceedings of the INTERSPEECH 2013, 2013

Communication-minimizing 2D convolution in GPU registers.
Proceedings of the IEEE International Conference on Image Processing, 2013

Three Fingered Jack: Tackling Portability, Performance, and Productivity with Auto-Parallelized Python.
Proceedings of the 5th USENIX Workshop on Hot Topics in Parallelism, 2013

Measuring the gap between programmable and fixed-function accelerators: A case study on speech recognition.
Proceedings of the 2013 IEEE Hot Chips 25 Symposium (HCS), 2013

2012
A Predictive Model for Solving Small Linear Algebra Problems in GPU Registers.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium, 2012

Automatic generation of application-specific accelerators for FPGAs from python loop nests.
Proceedings of the 22nd International Conference on Field Programmable Logic and Applications (FPL), 2012

2011
Communication-Avoiding QR Decomposition for GPUs.
Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

Considerations When Evaluating Microprocessor Platforms.
Proceedings of the 3rd USENIX Workshop on Hot Topics in Parallelism, 2011

PALLAS: Mapping Applications onto Manycore.
Proceedings of the Multiprocessor System-on-Chip - Hardware Design and Tool Integration., 2011

2010
ERCBench: An Open-Source Benchmark Suite for Embedded and Reconfigurable Computing.
Proceedings of the International Conference on Field Programmable Logic and Applications, 2010

2009
Statistical static timing analysis considering leakage variability in power gated designs.
Proceedings of the 2009 International Symposium on Low Power Electronics and Design, 2009

Performance analysis of decimal floating-point libraries and its impact on decimal hardware and software solutions.
Proceedings of the 27th International Conference on Computer Design, 2009

2002
Auditory stimulus optimization with feedback from fuzzy clustering of neuronal responses.
IEEE Trans. Information Technology in Biomedicine, 2002


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