'Parallel overhead' diaporamas de présentation

Parallel Programming & Cluster Computing High Throughput Computing

Parallel Programming & Cluster Computing High Throughput Computing. Henry Neeman, University of Oklahoma Charlie Peck, Earlham College Andrew Fitz Gibbon, Earlham College Josh Alexander, University of Oklahoma Oklahoma Supercomputing Symposium 2009

529 views • 41 slides

Performance Model for Parallel Matrix Multiplication with Dryad: Dataflow Graph Runtime

Performance Model for Parallel Matrix Multiplication with Dryad: Dataflow Graph Runtime. Hui Li School of Informatics and Computing Indiana University 11/1/2012. Outline. Dryad Dryad Dataflow Runtime Dryad Deployment Environment Performance Modeling Fox Algorithm of PMM

415 views • 28 slides

Parallel & Cluster Computing Monte Carlo

274 views • 14 slides

Parallel Computing Explained Parallel Code Tuning

Parallel Computing Explained Parallel Code Tuning. Slides Prepared from the CI-Tutor Courses at NCSA http://ci-tutor.ncsa.uiuc.edu/ By S. Masoud Sadjadi School of Computing and Information Sciences Florida International University March 2009. Agenda. 1 Parallel Computing Overview

284 views • 14 slides

Parallel Programming & Cluster Computing Monte Carlo

126 views • 12 slides

Parallel Performance

Week 7 Lecture Notes. Parallel Performance. Parallel Speedup. Parallel speedup: how much faster does my code run in parallel compared to serial? Max value is p , the number of processors. Parallel speedup = serial execution time

240 views • 11 slides

Parallel Performance

Week 7 Lecture Notes. Parallel Performance. Parallel Speedup. Parallel speedup: how much faster does my code run in parallel compared to serial? Max value is p , the number of processors. Parallel speedup = serial execution time

118 views • 11 slides