Faculty members involved in high performance computing and their areas of research

• Sarita Adve
  Computer architecture, parallel architecture and software, performance evaluation methods.
• Vikram Adve
  Compilers, programming environments, performance modeling techniques and tools, and computer architecture, with a particular focus on high-performance computing and wide-area distributed computing.
• Michael T. Heath
  General interests: Large-scale scientific computing, numerical analysis, parallel computing.
  Specific interests: Numerical linear algebra, sparse matrix computation, numerical optimization, parallel performance visualization.
• Eric de Sturler
• Laxmikant Kale
  Parallel programming tools and techniques, parallel aplications in science and engineering, parallel symbolic computations.
• David Padua
  Compilers, machine organizations, performance prediction, programming languages.
• Daniel Reed, Department Head
  Performance instrumentation and analysis techniques for large-scale parallel systems, dynamic parallel resource management, parallel I/O access pattern analysis.
• Robert D. Skeel
  Parallel algorithms and software for biomolecular modeling with an emphasis on numerical methods.
• Shang-Hua Teng
  Mesh generation, graph partitioning, computational geometry, parallel scientific computing, combinatorial optimization, algorithms and cryptography.
• Josep Torrellas
  Multithreading, processor-memory integration, scalability tools for parallel applications, cache coherence, COMA vs NUMA, software based COMA, speculative execution, database workloads, forwarding.
• Marianne Winslett
  High performance I/O for parallel computing. The Panda project's goal is to provide high-performance input and output by optimizing resource utilization during movement of data between memory and secondary storage.