PPT-CS427 Multicore Architecture and Parallel Computing

Lecture 6 Pthreads Li Jiang 20141023 1 Roadmap 2 Problems programming shared memory systems Controlling access to a critical section Thread synchronization Programming with POSIX threads. 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 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 Message Passing Sharedmemory single copy of shared data in memory threads communicate by readingwriting to a shared location Messagepassing each thread has a copy of data in its own private memory that other threads cannot access threads communicate Hardware Parallelism. Computing: execute instructions that operate on data.. Flynn’s . taxonomy (Michael Flynn, 1967) classifies computer architectures based on the number of instructions that can be executed and how they operate on data.. 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. CCGSC. September 15 . 2008. Geoffrey Fox. Community Grids Laboratory. , . School of informatics . Indiana University. gcf@indiana.edu. , . http://www.infomall.org. 2. Gartner 2008 Technology Hype Curve. Goals for Rest of Course. Learn how to program massively parallel processors and achieve. high performance. functionality and maintainability. scalability across future generations. Acquire technical knowledge required to achieve the above goals. ITS Research Computing. Lani. Clough, Mark Reed. markreed@unc.edu. . Objectives. Introductory. level MATLAB course for people who want to learn . parallel and GPU computing . in MATLAB.. Help participants . Andrew Jaffe. Computing Club. 4/5/2015. Overview. Introduction. multicore . Array jobs. The rest. Introduction. Based roughly on: McCallum and Weston. Parallel R. 2012 (O’Reilly Book), so consult for the more complicated methods. CCGSC. September 15 . 2008. Geoffrey Fox. Community Grids Laboratory. , . School of informatics . Indiana University. gcf@indiana.edu. , . http://www.infomall.org. 2. Gartner 2008 Technology Hype Curve. 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?. and . Devavrat. Shah. Flowtune. Flowlet. Control for. Datacenter Networks. Response Time: Productivity, Revenue. , Reputation. microservices. . . . develop  network is central. deploy. and . Devavrat. Shah. Flowtune. Flowlet. Control for. Datacenter Networks. Response Time: Productivity, Revenue. , Reputation. microservices. . . . develop  network is central. deploy. Prof. . Smruti. R. . Sarangi. IIT Delhi. 1. What is computer architecture? . The study of computer processors and computer systems. 2. What does a computer do? . Almost everything: . . Financial calculations.