Large Scale Problem Solving Using Automatic Code Generation and Distributed Visualization

• DOI: 10.12694/scpe.v11i2.653
• Publication Date: 2001-01-03
• Authors: Andrei Hutanu; Erik Schnetter; Werner Benger; Eloisa Bentivegna; Alex Clary; Peter Diener; Jinghua Ge; Robert Kooima; Oleg Korobkin; Kexi Liu; Frank Löffler; Ravi Paruchuri; Jian Tao; Cornelius Toole; Adam M. Yates; Gabrielle Allen
• Keywords: Solver; Problem solving environment

Scientific computation faces multiple scalability challenges in trying to take advantage of the latest generation compute, network and graphics hardware. We present a comprehensive approach solving four important challenges: programming productivity, large numbers of processors, I/O bandwidth, interactive visualization large data. describe scenario where our integrated system is applied the field numerical relativity. A solver for governing Einstein equations generated and executed on computational cluster; simulation output is distributed onto data server, finally visualized using methods high-speed networks. A demonstration this was awarded first place IEEE SCALE 2009 Challenge.