Allan Snavely

Director Performance Modeling and Characterization (PMaC) Laboratory

San Diego Supercomputer Center
University of California, San Diego
La Jolla, CA 92093

Office phone: (858) 534-5158
Office fax: (858) 534-5117

E-mail: asnavely at ucsd dot edu
URL: http://www.sdsc.edu/~allans


  • Academic C.V. updated 2008 (pdf)
  • Research Statement updated 2008 (pdf)

    • Hot off the press: ExaScale Computing Study: Technology Challenges in Achieving Exascale Systems (pdf) Peter Kogge, Editor & Study Lead. I am a co-author with illustrious others.

    Allan Snavely is the Director of the Performance Modeling and Characterization Laboratory at the San Diego Supercomputer Center, is an Adjunct Assistant Professor in the Department of Computer Science and Engineering ,and serves on the executive committee for the CSME program in computational science, mathematics, and engineering, and is the computer science faculty advisor to the Free Clinic Project all at the University of California, San Diego.

    He is a noted expert in high performance computing (HPC), has published more than 50 papers on this subject, has presented numerous invited talks including briefing U.S. congressional staff on the importance of the field to economic competitiveness, has twice been a finalist for the Gordon Bell Prize (2007 and 2008) in recognition for outstanding achievement in HPC applications, and is primary investigator (PI) on several federal research grants. Notably, he is PI of the Cyberinfrastructure Evaluation Center supported by National Science Foundation, and Co-PI in charge of the performance modeling thrust for PERI (the Performance Evaluation Research Institute), a Department of Energy SciDAC2 institute.

    In 2000, he established the PMaC Laboratory where he has supervised numerous graduate students (both MS and Ph.D), post-docs, visiting scholars, and senior research staff. His research interests cover a wide spectrum in the areas of high performance computing. A common thread among his research projects focuses on understanding, and improving the Von Neumann Bottleneck that limited throughput (data transfer rate) between the CPU and memory compared to the amount of memory that in turn limits the performance of computers past and modern.

    Allan Snavely received his Ph.D. in Computer Science from the University of California, San Diego

    Selected Publications with Impact on High Performance Computing