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Picture Mark M. Mathis
PhD Candidate
Algorithms & Applications Group

Parasol Laboratory url: http://parasol.tamu.edu/~mmathis/
Department of Computer Science and Engineering email:
Texas A&M University office: 407 HRBB
College Station, TX 77843-3112 tel:
USA fax: (979) 458-0718


curriculum vitae |links |personal |schedule


Bio

I am a PhD candidate in the Parasol Laboratory at Texas A&M University under the direction of Nancy Amato. I am an inaugural recipient of the Department of Energy High Performance Computer Science Fellowship, through which I completed a practicum in the Modeling, Algorithms, & Informatics group at Los Alamos National Laboratory. I am currently a Technical Staff Member in the Decision Applications Division at LANL.

Research

My research interests lie in high performance computing (HPC) systems, performance modeling and analysis. My primary objective is to understand the performance of HPC systems, in particular with respect to real applications. My research is focused on streamlining the modeling process and encouraging the use of performance models. In particular, my goal is to provide software performance engineering (SPE) tools for STAPL, to be used by developers and end-users.

Publications

Dynamic Performance Modeling of an Adaptive Mesh Application, Mark M. Mathis, Darren J. Kerbyson, In Proc. Int. Par. and Dist. Proc. Symp. (IPDPS), Apr 2006. Also, Technical Report, LA-UR-05-8672, Los Alamos National Laboratory, Nov 2005.
Technical Report(pdf)

A Performance Model of non-Deterministic Particle Transport on Large-Scale Systems, Mark M. Mathis, Darren J. Kerbyson, Adolfy Hoisie, Future Generation Computer Systems, 22(3):324-335, Feb 2006. Also, In Proc. Int. Conf. on Computational Science (ICCS), Melbourne, Australia, Jun 2003.
Journal(pdf, abstract) Proceedings(ps, pdf, ppt, abstract)

A General Performance Model of Structured and Unstructured Mesh Particle Transport Computations, Mark M. Mathis, Darren J. Kerbyson, Journal of Supercomputing, 34(2):181 - 199, Nov 2005.
Journal(pdf, abstract)

Performance Modeling of Unstructured Mesh Particle Transport Computations, Mark M. Mathis, Darren J. Kerbyson, In Proc. Int. Par. and Dist. Proc. Symp. (IPDPS), Santa Fe, NM, Apr 2004.
Proceedings(ps, pdf, ppt, abstract)

A General Performance Model for Parallel Sweeps on Orthogonal Grids for Particle Transport Calculations, Mark M. Mathis, Masters Thesis, Department of Computer Science and Engineering, Texas A&M University, Dec 2000.
Masters Thesis(ps, pdf, abstract)

A General Performance Model for Parallel Sweeps on Orthogonal Grids for Particle Transport Calculations, Mark M. Mathis, Nancy M. Amato, Marvin Adams, In Proc. ACM Int. Conf. Supercomputing (ICS), pp. 255-263, Santa Fe, NM, May 2000. Also, Technical Report, TR00-004, Parasol Laboratory, Department of Computer Science, Texas A&M University, Dec 1999.
Proceedings(ps, pdf, abstract) Technical Report(ps, pdf, abstract)

Predicting Performance on SMPs. A Case Study: The SGI Power Challenge, Nancy M. Amato, Jack Perdue, Andrea Pietracaprina, Geppino Pucci, Mark Mathis, In Proc. Int. Par. and Dist. Proc. Symp. (IPDPS), pp. 729-737, Cancun, Mexico, May 2000. Also, Technical Report, TR99-020, Department of Computer Science and Engineering, Texas A&M University, Oct 1999.
Proceedings(ps, pdf, abstract) Technical Report(ps, pdf, abstract)