PPT-Beyond Shared Memory Loop Parallelism in the Polyhedral Mod

Author : calandra-battersby | Published Date : 2017-05-30

Tomofumi Yuki PhD Dissertation 1030 2012 The Problem Figure from wwwspiralnetproblemhtml 2 Parallel Processing A small niche in the past hot topic today Ultimate

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Beyond Shared Memory Loop Parallelism in the Polyhedral Mod: Transcript

Tomofumi Yuki PhD Dissertation 1030 2012 The Problem Figure from wwwspiralnetproblemhtml 2 Parallel Processing A small niche in the past hot topic today Ultimate Solution Automatic Parallelization. Shared memory. Process A. Process B. Physical Memory. Virtual address space A. Virtual address space B. Share. Share. Share. Instruction memory. Data. Instruction memory. Data. Create a shared memory region. Jialu. Huang,. Thomas B. . Jablin. ,. Stephen R. Beard,. Nick P. Johnson. , and. David I. August. 2. Multicore. “. F. ree . lunch” is over.. G. reat . successes in TLP.. Missed . opportunities…. . Parallel Speedup Estimates for Serial Programs. Donghwan. . Jeon. , . Saturnino. Garcia, Chris. Louie, . and Michael Bedford Taylor. Computer Science and Engineering. University of California, San Diego. Tomofumi. Yuki. Ph.D. Dissertation. 10/30 2012. The Problem. Figure from . www.spiral.net/problem.html. 2. Parallel Processing. A small niche in the past, hot topic today. Ultimate Solution: Automatic Parallelization. CyberGIS. Keith T. Weber, GISP. GIS Director, ISU. Goal of this presentation. Introduce you to an another world of computing, analysis, and opportunity. Encourage you to learn more!. Some Terminology Up-Front. Presented . by A. Craik . (. 5. -Jan-12). Research supported by funding . from . Microsoft Research and the Queensland State Government. 1. Introduction. 2. Procedural Algorithm. Sequential Implementation w/ Injected Parallelism. L02: Dependence Analysis. Tomofumi Yuki. 1. Today’s Agenda. Legality of Loop Transformations. Dependences. Legality of loop parallelization. Legality of loop permutation. Dependence Tests. How to find dependences?. Lecture 1. Introduction to Multithreading & Fork-Join Parallelism. Steve . Wolfman. , based on work by Dan . Grossman. LICENSE. : This file is licensed under a . Creative . Commons Attribution 3.0 . Data-Level Parallel Architectures. Course 5MD00. Henk. . Corporaal. January 2015. h.corporaal@tue.nl. This lecture. Data-level parallel architectures. Vector machine. SIMD. (Single Instruction Multiple Data) processors. Motivation, Challenges, Impact on Software Development. CSE 110 – Winter 2016. About These Slides. Due to the nature of this material, this lecture was delivered via the chalkboard. Every was advised that slides would not be available and that notes should be taken. . 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. Processor Parallelism. Levels of parallelism defined via memory/control:. Processor Parallelism. Categories defined based on:. Number of simultaneous instructions. Number of simultaneous data items. How We Got Here. markreed@unc.edu. . OpenMP. Logistics. Course Format. Lab Exercises. Breaks. Getting started:. Kure. : . http://help.unc.edu/help/getting-started-on-kure/. Killdevil: . http://help.unc.edu/help/getting-started-on-killdevil/. A Hardware Architect’s Perspective. Sarita. Adve, . Vikram Adve,. Rob Bocchino. , Nicholas Carter, Byn . Choi, . Ching-Tsun. Chou, . Stephen Heumann, . Nima. Honarmand, Rakesh Komuravelli, Maria Kotsifakou, .

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