In this interview, Sun Alum Daniel Fraser from the Open Science Grid discusses High Throughput Parallel Computing.
One common research pattern for high throughput computing is the parameter sweep, where multiple jobs are solved in parallel, each executing the same algorithm with different starting parameters. It may start out that each job is running on a single core. However, as the research advances it may become apparent to the researcher that she needs more memory than, say, 1GB per job, or that her job could benefit by using more than one processor. HTPC is a pattern that helps researchers get their science done.
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