PPT-A Sophomoric Introduction to Shared-Memory Parallelism and

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Lecture 1 Introduction to Multithreading amp ForkJoin Parallelism Steve Wolfman based on work by Dan Grossman LICENSE This file is licensed under a Creative

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A Sophomoric Introduction to Shared-Memory Parallelism and: Transcript

Lecture 1 Introduction to Multithreading amp ForkJoin Parallelism Steve Wolfman based on work by Dan Grossman LICENSE This file is licensed under a Creative Commons Attribution 30 . 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. 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. 2. Processor development till 2004. Out-of-order. Instruction scheduling. 3. Why multi-core ?. Difficult to. increase. . clock . frequencies even . higher – heat . problems. . Moore’s law is at its limits. 1. COMET: Code Offload by. Migrating Execution Transparently. OSDI'12. Mark Gordon, Anoushe Jamshidi,. Scott Mahlke, Z. Morley Mao, and Xu Chen. University of Michigan, AT&T Labs - Research. Mark Gordon. Vijay . Pai. (PI), Deborah Bennett, . Cordelia. Brown, Yung Lu, . Sam . Midkiff. smidkiff@purdue.edu. Let’s start off pessimistically. I’ve been involved in two or three of these workshops, and the comment I’ve heard from industrial . 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. 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. Yao Wang, Andrew . Ferraiuolo. , G. Edward . Suh. Feb 17. th. 2014. Executive Summary. Observation:. Modern computing systems are vulnerable to . timing channel attacks. Problem: . No hardware techniques exist to eliminate timing channels through . 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, . Hagersten. , . Landin. , and . Haridi. (1991). Presented by Patrick . Eibl. Outline. Basics of Cache-Only Memory Architectures. The Data Diffusion Machine (DDM). DDM Coherence Protocol. Examples of Replacement, Reading, Writing. Lecture 19. April . 4. th. , . 2012. Bus-Based Shared Memory (. Con’t. ). Distributed Shared Memory. Prof John D. Kubiatowicz. http://www.cs.berkeley.edu/~kubitron/cs252. Recall: Natural Extensions of Memory System.

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