PPT-Parallel Programming & Cluster Computing

Author : olivia-moreira | Published Date : 2018-11-11

The Tyranny of the Storage Hierarchy Henry Neeman University of Oklahoma Charlie Peck Earlham College Tuesday October 11 2011 Parallel Programming Storage Hierarchy

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "Parallel Programming & Cluster Compu..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Parallel Programming & Cluster Computing: Transcript


The Tyranny of the Storage Hierarchy Henry Neeman University of Oklahoma Charlie Peck Earlham College Tuesday October 11 2011 Parallel Programming Storage Hierarchy OK Supercomputing Symposium Tue Oct 11 2011. Unlike sequential algorithms parallel algorithms cannot be analyzed very well in isolation One of our primary measures of goodness of a parallel system will be its scalability Scalability is the ability of a parallel system to take advantage of incr Uni processor computing can be called centralized computing brPage 3br mainframe computer workstation network host network link terminal centralized computing distributed computing A distributed system is a collection of independent computers interc Transition Plan. Glenn Bresnahan. June 10, 2013. BU Shared Computing Cluster. Provide fully-shared research computing resources for both the Charles River and BU Medical campuses. Will Support . dbGap. Time for Hardware Upgrade. Uzi Vishkin. . . The pompous version. After 40 years of “wandering in the desert”, general-purpose parallelism is very close to capturing the “promised land” of mainstream computing. Applications and. Types of Parallelism. Henry Neeman, Director. OU Supercomputing Center for Education & Research. University of Oklahoma Information Technology. Oklahoma Supercomputing Symposium, Tue Oct . 6/16/2010. Parallel Programming Abstractions. 1. Tasks . vs. Threads. Similar but not the same.. 6/16/2010. Parallel Programming Abstractions. 2. h/w processors. Operating System. T. hreads. Task Scheduler. Dr Susan Cartwright. Dept of Physics and Astronomy. University of Sheffield. Parallel Universes. Are you unique?. Could there be another “you” differing only in what you had for breakfast this morning?. Early Adopter: ASU - Intel Collaboration in Parallel and Distributed Computing Yinong Chen , Eric Kostelich , Yann -Hang Lee, Alex Mahalov , Gil Speyer, and Violet R. Syrotiuk 1 st NSF /TCPP Workshop on Parallel and Distributed Computing Education ( Pierre Riteau. Université de Rennes 1, IRISA. INRIA Rennes – Bretagne . Atlantique. Rennes, . France. Pierre.Riteau@irisa.fr. Introduction To. Sky. . Computing. IaaS. . clouds. On demand/elastic . The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand CS 6260. Professor: Elise De . Doncker. By: . Lina. Hussein. 1. Topics Covered :. Introduction. What is cluster computing?. Classification of Cluster Computing. Technologies:. Beowulf cluster. Construction of Beowulf Cluster. Fall 2015. Lars Ailo Bongo (larsab@cs.uit.no). Course topics. Parallel programming. The parallelization process. Optimization of parallel programs. Performance analysis. Data-intensive computing. Parallel programs.

Download Document

Here is the link to download the presentation.
"Parallel Programming & Cluster Computing"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.

Related Documents