Richard Hedges
About Richard Hedges
Richard Hedges is a Member of Technical Staff at Livermore Computing, specializing in parallel file systems and high-performance computing application I/O. He has worked at Lawrence Livermore National Laboratory since 1998 and has a background in consulting and analysis from previous positions at Silicon Graphics and Cray Research.
Work at Lawrence Livermore National Laboratory
Richard Hedges has been a Member of Technical Staff at Lawrence Livermore National Laboratory since 1998. His role focuses on Livermore Computing, where he specializes in parallel file systems. Hedges contributes to the testing and optimization of these systems, enhancing their performance and reliability. His long tenure at the laboratory reflects his commitment to advancing high-performance computing (HPC) technologies.
Education and Expertise
Hedges holds a Ph.D. in Chemical Physics from the University of Colorado Boulder, where he studied from 1976 to 1983. He also earned an AB in Chemistry from the University of California, Santa Cruz, from 1972 to 1976. His educational background provides a strong foundation for his expertise in the design, analysis, and optimization of HPC application I/O. Hedges is recognized for his consulting services as an HPC User Consultant, focusing on application I/O design and file system testing.
Previous Work Experience
Before joining Lawrence Livermore National Laboratory, Richard Hedges worked at Silicon Graphics, Inc. as a Consultant from 1996 to 1998. He also served as a Pre Sales Analyst at Cray Research from 1985 to 1991. His diverse experience in the computing industry has equipped him with extensive knowledge in high-performance computing systems and application I/O.
Specialization in High-Performance Computing
Richard Hedges specializes in the design, analysis, and optimization of high-performance computing (HPC) application I/O. He has extensive experience consulting with end users on HPC systems, particularly in the areas of application I/O and parallel file systems. His work contributes to improving the efficiency and effectiveness of data management in HPC environments.