Andrew Canning Lawrence Berkeley National Laboratory

Andrew Canning works on the programming and algorithmic developments necessary to run codes on parallel machines, specializing in materials science applications. Along with a team of colloborating scientists at Oak Ridge National Lab, Pittsburgh Supercomputing Center, and the University of Bristol (UK), Andrew won the 1998 Gordon Bell Prize for the fastest parallel application, which modeled 1,024 atoms of a metallic magnet. Although the team won for their 657 Gigaflop/s performance level, they subsequently were able to run the application at more than one Teraflop/s. Andrew has a B.S. in theoretical physics and astronomy from the University of Glasgow and a Ph.D. in statistical physics from the University of Edinburgh. For three years he was an employee of Cray Research in Lausanne, Switzerland, developing parallel codes and algorithms for materials science applications on the Cray T3D parallel computer.