Jonathan Carter is both the Computing Sciences Area Deputy and the Computational Research Division Deputy Director.
Jonathan's research interests are in the evaluation of system architectures and algorithms for high performance computing, and in computational chemistry and physics simulations. Recently he has been engaged in a project to look at computer architectures beyond the end of Moore's Law and has focused on techniques to perform simulations for computational chemistry using newly developed quantum computing test-beds. He brings a unique perspective to his work, formed from using computing resources as a domain scientist, from performing performance analysis of computer architectures, and from his experience in moving large-scale computational systems from idea to reality.
Jonathan joined Computing Sciences as part of the National Energy Research Scientific Computing (NERSC) Division as a consultant in the User Services Group (USG) at the end of 1996, working with a broad range of scientists to optimize applications, transition projects from shared-memory vector systems to massively parallel systems, and providing in-depth consulting for materials scientists and chemists using NERSC. He became manager of USG at the end of 2005. During his time at NERSC, Jonathan lead or played a lead role in teams that procured and deployed three of the fastest computing systems in the world.
Before coming to Berkeley Lab, he worked at the IBM Almaden Research Center with the Center for Computational Chemistry with a focus on developing fast, accurate and usable electronic structure models and software, and as a researcher of chemical problems of interest to IBM. During his postdoctoral work at the University of British Columbia, Canada, the group was one of the first to use Density Functional Theory to calculate electromagnetic properties of small molecules. Jonathan holds a Ph.D. and B.S in Chemistry from the University of Sheffield, UK.
»For a full list of his publications and presentations, please visit Carter's CRD staff page.