PPT-CS 240A: Shared Memory & Multicore Programming with Cilk

Author : marina-yarberry | Published Date : 2018-03-17

Multicore and NUMA architectures Multithreaded Programming Cilk as a concurrency platform Work Span potential Parallelism Thanks to Charles E Leiserson for some

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "CS 240A: Shared Memory & Multicore P..." 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.

CS 240A: Shared Memory & Multicore Programming with Cilk: Transcript

Multicore and NUMA architectures Multithreaded Programming Cilk as a concurrency platform Work Span potential Parallelism Thanks to Charles E Leiserson for some of these slides. Avg Access Time 2 Tokens Number of Controllers Average Access Time clock cyles brPage 16br Number of Tokens vs Avg Access Time 9 Controllers Number of Tokens Average Access Time clock cycles brPage 17br brPage 18br 001 0 001 00001 10 10 10 10 10 10 Screening perf or mance of va ious types of screen constr uctions 55 65 75 85 95 105 115 125 135 145 155 165 175 EM Shielding eff ectiv eness dBmeter requency Hz Surf ace transf er impedance mohmsmeter Aluminiz ed o Pipeline Parallelism. I-Ting Angelina Lee. *. , Charles E. . Leiserson. *. , . Tao B. . Schardl. *. , Jim . Sukha. †. , and . Zhunping. Zhang. *. SPAA 2013. MIT CSAIL. * . Intel Corporation. Marc De Melo. Outline. Non-Uniform Cache Architecture (NUCA). Cache Coherence. Implementation of directories in multicore architecture. 2. Non-Uniform Cache Architecture [1]. Uniform Cache Architecture. Breadth-first search in . Cilk. ++. Thanks to . Charles E. . Leiserson. for . some of . these slides. Breadth First Search. Level-by-level graph traversal. Serially complexity:. . Θ. (m+n). 1. 2. 3. Marc S. Orr. †§. , Bradford M. Beckmann. §. , Steven K. Reinhardt. §. , David A. Wood. †§. ISCA, June 16, 2014. †. §. Executive Summary. SIMT languages (e.g. CUDA & . OpenCL. ) restrict GPU programmers to regular parallelism. Parallel Processing (CS526) . Spring 2012(Week 8) . Shared Memory Architecture . Shared Memory Programming & PLs. Java Threads . Preparing the Environment . In This lecture . Shared Memory Architecture . Feb 2, 2015. Multicore (and Shared Memory) Programming with . Cilk. Plus. Multicore and s. hared . m. emory. . Cilk. . Plus and the divide & conquer . p. aradigm. Data races. Analyzing performance in . Matrix multiplication I : parallel issues. Matrix multiplication II: cache issues. Thanks to Jim Demmel and Kathy Yelick (UCB) for some of these slides. Matrix-Matrix . Multiplication (“DGEMM”). Hakim Weatherspoon. CS 3410, Spring 2015. Computer Science. Cornell University. P&H Chapter 2.11, 5.10,. and 6.5. Announcements. HW2 Review Sessions!. TODAY, Tue, . April 21st. , . Hollister B14@7pm. 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:. The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand ,. and . Cilk. screen. , are trademarks of . CILK. . ARTS.. including analysis and debugging. MAJOR SECTIONS. Cilk++ Syntax and Concepts. Races and Race Detection. Scalability Analysis. The Cilk++ Tool Set.

Download Document

Here is the link to download the presentation.
"CS 240A: Shared Memory & Multicore Programming with Cilk"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.