Principal Investigators, Administration, and Infrastructure Support

 

L–O

WILLIAM (WILL) LAW

AHPCRC Computer Scientist, HPTi
(20072011)

(607) 227-6164

wlaw@hpti.com

Mr. Law, who is based at Stanford University, coordinates HPC research activities on cluster infrastructure at Stanford and usage of DoD High Performance Computing Modernization Program systems by the research program. He has played a key role in development of GPU architectures for the AHPCRC program at Stanford and UTEP. He offers guidance and support to users of systems at the other member universities in meeting research program objectives. He has 13 years experience in information technology, and has spent the past 8 years working in the area of high performance computing systems, parallel file systems, and data intensive computing.

ADRIAN LEW

Assistant Professor, Mechanical Engineering,
Stanford University

(650) 725-3585

lewa@stanford.edu

http://me.stanford.edu/me_profile.php?sunetid=lewa

Project 1–2: Simulation of Ballistic Gel Penetration

Computational solid mechanics, material modeling, numerical analysis. Homeland security applications: mechanics of materials under highly dynamic deformations, such as impact, blasts and shocks. Interplay between chemistry and mechanics in biology: mechanics of polymeric networks and biomaterials.

NANCY MCGUIRE

AHPCRC Communications Associate, HPTi

(703) 682-5368

nmcguire@hpti.com

Dr. McGuire coordinates reports, project publications, and publicity materials for AHPCRC. She holds a Ph.D. in chemistry from Arizona State University, and she has career experience in laboratory research and scientific and technical communications. She has written and edited scientific journal manuscripts, print magazine and web content, and corporate communications materials. She has worked on website and print magazine redesign projects, and she has training and experience in website usability and content management. In addition, she has worked in media relations and represented her employers at trade shows and professional conferences.

PIYUSH MEHROTRA
Lead: Application Performance & Productivity (APP) Group
Branch Chief: Computational Technologies (TNC) Branch
NASA Advanced Supercomputing (NAS) Division
M/S 258-5, NASA Ames Research Center,
Moffett Field, CA
(650) 604-5126
piyush.mehrotra@nasa.gov

Project 1–5: Numerical Simulation of Flapping Flows
Parallel code performance optimization, frameworks and runtime systems for parallel and distributed environments.

WALTER MURRAY

Professor of Management Science and Engineering (Research), Director of Student Affairs for the Institute for Computational and Mathematical Engineering, Director of the Systems Optimization Laboratory,
Stanford University

(650) 723-1307

walter@stanford.edu

http://www.stanford.edu/~walter

Project 1–7: Advanced Optimization Algorithms and Software (2010-present)
Project 4–4: High Performance Optimization Library
(2007-2009)

Creating, analyzing, and implementing optimization algorithms. Developing general-purpose optimization software for the solution of practical problems.

Kwong T. Ng
Professor, Klipsch School of Electrical and Computer Engineering
New Mexico State University
(575) 646-6431
ngnsr@nmsu.edu
http://www.ece.nmsu.edu/faculty_kng.htm

Project 3–5: Mobile Brain–Machine Interface for Integrated Information–Social/Cognitive Network Operations
Experimental and numerical analysis of electromagnetic fields in biological bodies. Development of forward solvers and inverse algorithms for cardiac and neural source imaging.

OYEKUNLE A. OLUKOTUN

Professor, Electrical Engineering and Computer Science, Director of the Pervasive Parallelism Laboratory,
Stanford University

(650) 725-3713

kunle@stanford.edu

http://ogun.stanford.edu/~kunle/

Project 4–2: Massive-Scale Data Analysis on the Flexible Architecture Research Machine (FARM)

Design, performance analysis, and verification of computers. Hydra single chip multiprocessor project and the TCC Transactional Coherence and Consistency project. Developing novel simulation, estimation, and verification techniques for system-level design.