High-Performance Computing

Wen-mei W. Hwu

Professor Hwu's work addresses the problems associated with delivering effective software/hardware performance solutions for the computing industry. He leads the IMPACT Research Group, which developed the IMPACT Research Compiler, which has been widely used in industry and academia to investigate new techniques for enhancing instruction-level parallelism in a variety of architectures.
Ravishankar K. Iyer

Professor Iyer is interested in developing and analyzing techniques for developing secure and reliable systems. He leads several projects in this area. One project is the Reconfigurable Reliability and Security Engine. A common processor-level framework that can provide application-aware reliability and security is attractive and timely.
Zbigniew T. Kalbarczyk

Dr. Kalbarcryk is interested in developing and analyzing techniques for developing secure and reliable systems. He is involved in the DEPEND project, among others. The DEPEND project is developing a framework for designing dependable systems. DEPEND is a simulation-based environment that supports the design of systems for fault tolerance and high availability.
Rakesh Kumar

Prof. Kumar is interested in processors and systems with a focus on a) scalability, the ability to seamlessly exploit multiple levels of concurrency in workloads; b) adaptability, proactive adjustment to the intrinsic workload type and application requirements; and c) programmability, cooperative information exchange between hardware and software for productivity and efficiency.
Marc Snir

Professor Snir is interested in various aspects of parallel computing and large-scale distributed processing. His theoretical work in this area includes studies of parallel computation models and of parallel algorithms. His work in parallel computer architecture includes work on parallel interconnection networks and on mechanisms for efficient large-scale shared memory support.
Cross Layer QoS Management for MANETs

funded by Boeing
Immersive Network Simulation Testbed

funded by the U.S. Department of Homeland Security
Adoptability Evaluation of SPI Technologies

funded by Science Applications International Corporation (SAIC), subcontract from the Air Force
Capacity Versus Robustness: A Tradeoff for Restoration in Mesh Networks

funded by the Defense Advanced Research Projects Agency
Methodologies and Tools for Designing and Implementing Large-Scale, Real-Time Systems

funded by the National Science Foundation (subcontracted from Vanderbilt University)