SelectedWorks - Michael O Lam

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SelectedWorks of Michael O Lam

Assistant Professor of Computer Science

I'm interested in software that analyzes other software. In particular, I've looked at how automated analysis can tell us what parts of a program require double precision arithmetic and what parts can be run in the (much faster) single precision. Outside that narrow focus area, I am also interested in a wide variety of research topics throughout high-performance systems, scientific computing, program analysis, and software engineering.

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About Michael O Lam

I'm interested in software that analyzes other software. In particular, I've looked at how automated analysis can tell us what parts of a program require double precision arithmetic and what parts can be run in the (much faster) single precision. Outside that narrow focus area, I am also interested in a wide variety of research topics throughout high-performance systems, scientific computing, program analysis, and software engineering.

Present	Assistant Professor of Computer Science, James Madison University
Institution Organization Position Type Position Title Time Period to Options Current Position Affiliate my profile with this Institution

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Computer Sciences, Numerical Analysis and Scientific Computing, Programming Languages and Compilers, and Systems Architecture

program analysis, high-performance computing, compilers, software engineering, floating-point arithmetic, and binary instrumentation

CS 470 - Parallel and Distributed Systems
CS 480 - Compilers (Special Topics)
CS 430 - Programming Languages
CS 240 - Data Structures and Algorithms

2007 - 2014	PhD, University of Maryland at College Park ‐ Computer Science
Institution Organization Student Type Student Title Degree Time Period to Options Currently enrolled Affiliate my profile with this Institution

Academic home page

Automated Mixed-Precision Floating Point Analysis

Algorithmic and Application Error Resilience 2013 (2013)

Contribution to Book

Automatically adapting programs for mixed-precision floating-point computation

Proceedings of the 27th International ACM Conference on Supercomputing - ICS ’13 (2013)

Michael O Lam, Jeffrey K Hollingsworth, Bronis R de Supinkski and Matthew P Legendre

Office Space and Salami: Analyzing Rounding Error in Computer Programs

UMD Graduate Research Interaction Day (2013)

Dynamic floating-point cancellation detection

Parallel Computing (2013)

Michael O Lam, Jeffrey K. Hollingsworth and G. W Stewart

Optimization of Floating-point Precision using Binary Modification.

Center for Scalable Application Development Software (CScADS) Performance Tools for Extreme-scale Computing Workshop 2012 (2012)

Contribution to Book

Automatically Adapting Programs for Mixed-Precision Floating-Point Computation (Poster)

Proceedings of the Interna- tional Conference on High Performance Computing, Networking, Storage and Analysis (SC’12) (2012)

Michael O Lam, Jeffrey K Hollingsworth, Bronis R de Supinski and Matthew P Legendre

Unpublished Paper

Automatic Floating-Point Precision Analysis (Ph.D Proposal)

Tech. rep. Department of Computer Science, University of Maryland (2011)

Binary-Level Tools for Floating-Point Correctness Analysis

Laurence Livermore National Lab (2011)

Dynamic Floating-Point Cancellation Detection

WHIST ’11 (2011)

Contribution to Book

Dynamic Floating-Point Cancellation Detection

Proceedings of the First International Workshop on High-performance Infrastructure for Scalable Tools (WHIST’11) (2011)

Michael O Lam, Jeffrey K Hollingsworth and G. W Stewart

Unpublished Paper

Dynamic Floating-Point Cancellation Detection (Master’s Degree Scholarly Paper)

Tech. rep. Department of Computer Science, University of Maryland (2010)

Contribution to Book

A Lookup and Reference Tool for Pulmonary Computed Tomography Nodules

Proceedings of the 2007 Annual Meeting of the Society for Imaging Informatics in Medicine (SIIM’07) (2007)

Tim Disney, Michael O Lam, Daniela S Raicu, Jacob Furst, et al.

BRISC - An Open Source Pulmonary Nodule Image Retrieval Framework

Journal of Digital Imaging (2007)

Michael O Lam, Tim Disney, Daniela S Raicu, Jacob Furst, et al.

Contribution to Book

Content-Based Image Retrieval for Pulmonary Computed Tomography Nodule Images

Proceedings of the 2007 SPIE Medical Imaging Conference (SPIE’07) (2007)

Michael O Lam, Tim Disney, Mailan Pham, Daniela Raicu, et al.