Michael O. Lam

Orcid: 0000-0002-9415-5534

Affiliations:
  • James Madison University, Harrisonburg, VA, USA
  • University of Maryland, College Park, MD, USA (PhD 2014)


According to our database1, Michael O. Lam authored at least 14 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Approximate High-Performance Computing: A Fast and Energy-Efficient Computing Paradigm in the Post-Moore Era.
IT Prof., 2023

2020
HPC-MixPBench: An HPC Benchmark Suite for Mixed-Precision Analysis.
Proceedings of the IEEE International Symposium on Workload Characterization, 2020

2019
Automating Systems Course Unit and Integration Testing: Experience Report.
Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019

Tool Integration for Source-Level Mixed Precision.
Proceedings of the 2019 IEEE/ACM 3rd International Workshop on Software Correctness for HPC Applications (Correctness), 2019

2018
Fine-grained floating-point precision analysis.
Int. J. High Perform. Comput. Appl., 2018

ADAPT: algorithmic differentiation applied to floating-point precision tuning.
Proceedings of the International Conference for High Performance Computing, 2018

2017
Managing the Performance/Error Tradeoff of Floating-point Intensive Applications.
ACM Trans. Embed. Comput. Syst., 2017

Thoughtful Precision in Mini-Apps.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2016
Floating-Point Shadow Value Analysis.
Proceedings of the 5th Workshop on Extreme-Scale Programming Tools, 2016

2014
Automated Floating-Point Precision Analysis.
PhD thesis, 2014

2013
Dynamic floating-point cancellation detection.
Parallel Comput., 2013

Automatically adapting programs for mixed-precision floating-point computation.
Proceedings of the International Conference on Supercomputing, 2013

2012
Poster: Automatically Adapting Programs for Mixed-Precision Floating-Point Computation.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Abstract: Automatically Adapting Programs for Mixed-Precision Floating-Point Computation.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012


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