For regular, sparse, linear systems, like those derived from regular grids, using High Performance Fortran (HPF) for iterative solvers is straightforward. However, for irregular ma...
We present an analytic performance model of a largescale hydrodynamics code developed at Los Alamos National Laboratory. This modeling work is part of an ongoing effort to develop...
s In grid computing, the goals of task scheduling is to achieve high system optimization performance while matching multi-dimension Quiality of Service(QoS) requirement of applicat...
Abstract— In this work, we demonstrate the power of providing a common set of operating system services to Grid Architectures, including high-performance I/O, communication, reso...
Experience with generating simulation data of high energy physics experiments has shown that a job monitoring system (JMS) is essential to understand failures of jobs within the G...