PDF-Explicitly Parallel Programming with SharedMemory is I

Author : olivia-moreira | Published Date : 2015-06-15

Bugs are hard to nd and nonrepeatable This makes debugging a night mare and gives little assurance in the testing there is no way to know how the program will behave

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "Explicitly Parallel Programming with Sha..." 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.

Explicitly Parallel Programming with SharedMemory is I: Transcript


Bugs are hard to nd and nonrepeatable This makes debugging a night mare and gives little assurance in the testing there is no way to know how the program will behave in a different environment Testing and debugging is already difcult with a single. This motivated an ongoing shared effort by the standards committees to specify concurrent behaviour in the next versions of both languages They aim to provide strong guarantees for racefree programs together with new but subtle relaxedmemory atomic 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 Stack. draft-gredler-spring-mpls-02. Hannes Gredler . hannes@juniper.net. Yakov. . Rekhter. . yakov@juniper.net. Luay. . Jalil. . luay.jalil@verizon.com. Sriganesh. . Kini. . sriganesh.kini@ericsson.com. FY11 Pre-School Training Day . for Teachers. Bill Thompson. Nancy . Brito. Department of Assessment. FY11 Pre-School Training Day . for Teachers. Power point is posted on Dept. of Assessment webpage. 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. Going Beyond Serial MATLAB Applications. MATLAB . Desktop (Client). Worker. Worker. Worker. Worker. Worker. Worker. Programming Parallel Applications (CPU). Built-in support. with t. oolboxes. Ease of Use. Cite textual evidence to support analysis of what the text says explicitly as well as inferences drawn from the text. .. ELAGSE.7.RL.1 . Cite several pieces of textual evidence to support analysis of what the text says explicitly as well as inferences drawn . modelS. CS 5802 . Monica Borra. Overview. Types of parallel programming models. Shared memory Model. OpenMP. POSIX Threads. Cilk. /. Cilk. Plus/. Cilk. Plus . Plus. Thread Building Blocks. Types of Parallel Programming Models:. • Strategic may involve the use of word or symbol procedural facilitators. • Visual Scaffolds means visually representing the writing processes, strategies or skills students are in the pr 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 The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand 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.
"Explicitly Parallel Programming with SharedMemory is I"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