'Profiling tools' diaporamas de présentation

CSI606

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Parallel Computing Explained Timing and Profiling

Parallel Computing Explained Timing and Profiling. 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 (Additional Slides by Javier Delgado). Agenda.

503 views • 39 slides

A Development Environment for Query Optimizers

A Development Environment for Query Optimizers. Olga Papaemmanouil, Brandeis University Nga Tran, Brandeis University Mitch Cherniack, Brandeis University. One-Design-D-N-F-A. natural consequence of One-Size-D-N-F-A many new niche data management systems

322 views • 25 slides

Optimizing RAM-latency Dominated Applications

Optimizing RAM-latency Dominated Applications. Yandong Mao , Cody Cutler, Robert Morris MIT CSAIL. RAM-latency may dominate performance. RAM-latency dominated applications follow long pointer chains working set >> on-chip cache A lot of cache misses -> stalling on RAM fetches

388 views • 23 slides

MultiCore Hardware Experiments in Software Producibility: Kickoff Meeting

MultiCore Hardware Experiments in Software Producibility: Kickoff Meeting. Jonathan Sprinkle (University of Arizona), and Brandon Eames (Utah State University). Overview. Motivations Goals, Assumptions, and Constraints Approach Candidate algorithms/systems Experiment Setup Example

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New Features in ML

New Features in ML. 2004 Trilinos Users Group Meeting November 2-4, 2004 Jonathan Hu , Ray Tuminaro, Marzio Sala, Michael Gee, Haim Waisman.

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