Research Interests
Dynamic adaptation of applications, operating systems, and computer architectures targeted at performance of parallel and distributed computer systems; performance evaluation, modeling, and enhancements; workload characterization; parallel and distributed computing; computer architecture, operating systems, and simulation methodologies.

Research Groups

DAiSES, Dynamic Adaptivity in Support of Extreme Scale
DAiSES, which represents a collaboration with University of Wisconsin-Madison, targets dynamic adaptation of the operation system (OS), in this case, Linux, to enhance application performance.

DAPLDS - Dynamically Adaptive Protein-Ligand Docking System
DAPLDS involves collaboration among the University of Texas-El Paso, The Scripps Research Institute (TSRI), and the University of California-Berkeley. This project, through implementation and use of a cyber tool, DAPLDS, that enables adaptive multi-scale modeling in a GC environment, will further knowledge of the atomic details of protein-ligand interactions and, by doing so, will accelerate the discovery of novel pharmaceuticals.

PLS²
The work on Sampled Event Traces, in collaboration with the IBM Corporation, is and was funded by IBM Corporation (three faculty awards, 2002-2005, totaling $105,000, an NPSC/IBM Ph.D. fellowship, and an IBM SUR (Shared University Research) grant, HPC PEARLS, Performance Enhancements And Research in the Life Sciences with S. Aley, L. Bain, W. Baldwin, S. Das, B. Stec, P. Nava, D. Williams, and D. Villa awarded July 2003.

PCAT, PerformanCe Assessment
The following two projects are funded by the Department of Defense (DoD) and the work is being conducted in conjunction with the University of Tennessee-Knoxville.

Multivariate Statistical Analysis of Large Scale Data: The goal is to provide tools that will make it possible to analyze the massive amounts of data produced by hardware performance counters in large-scale parallel applications. Several statistical methods will be employed to assemble performance counter data into similar groups that can more easily interpreted giving important information about the performance of the application.

Collection and Validation of Application Benchmarking and Performance Data: The aim of this project is to provide DoD application programmers with tools to automate the collection of performance data from applications running on DoD HPC Center platforms and to provide metrics to understand, interpret, and analyze performance counters and communication data.

UV&V - Unification of Verification and Validation Systems Software
The UV&V project, supported by NSF, represents collaborative research among University of Texas - El Paso and the University of Texas - Austin. This project's fundamental goal is to increase the reliability and security of software systems. In particular, this project is investigating techniques for unifying several different software verification and validation (V&V) methods, including theorem proving, model checking, testing, and runtime monitoring.