The CSC Cluster tinis The CSC cluster tinis is the university’s newest computing cluster, com- ing online in November 2015. It currently consists of 190 active nodes, each containing two Intel Xeon E5-2630 v3 processors with hyperthreading disabled, and are interconnected by QLogic TrueScale InfiniBand. This worksheet will guide you through using the cluster for […]
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CMSC420 Project – Summer 2018 Part0 and Part1 Iced Version 1.2 Due max(syllabus, submit server) The Parts 0 and 1 will be due on max(syllabus, submit server) for Part 0 and max(syllabus, Last Modified June 3, 2018 Contents 1 Introduction and General Overview 2 1.1 Warning and Encouragement . . . . . . .
lec10_bak CS 314 Principles of Programming Languages Prof. Zheng Zhang Rutgers University Lecture 10: Syntax Directed Translation October 5, 2018 Class Information 2 • Homework 3 is being graded. • Homework 4 will be released by the end of today. • Project 1 will be released after hw4 is due (Tuesday 10/9/2018). Review: Recursive Descent
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PowerPoint Presentation Parallel Computing with GPUs: CUDA Streams Dr Paul Richmond http://paulrichmond.shef.ac.uk/teaching/COM4521/ Synchronous and Asynchronous execution CUDA Streams Synchronisation Multi GPU Programming Blocking and Non-Blocking Functions Synchronous vs Asynchronous Synchronous: Blocking call Executed sequentially Asynchronous: Non-Blocking call Control returns to host thread Asynchronous Advantages Overlap execution and data movement on different devices Not just GPU
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PowerPoint Presentation Parallel Computing with GPUs: OpenMP 2 Dr Paul Richmond http://paulrichmond.shef.ac.uk/teaching/COM4521/ OpenMP Timing Parallel Reduction Scheduling Nesting Summary The problem with clock() clock() function behaviour In windows: represents a measure of real time (wall clock time) Linux: represents a cumulative measure of time spent executing instructions Cumulative over core = not good for measuring
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C++ – Templates and Abstract Data Types C++ – Templates and Abstract Data Types December 15, 2017 C++ – Templates and Abstract Data Types Abstract Data Types A data type represents a set of values (think of int, char, etc) and defines a collection of operations (e.g + – *). An abstract data type (ADT)
PowerPoint Presentation Parallel Computing with GPUs: An Introduction to C Dr Paul Richmond http://paulrichmond.shef.ac.uk/teaching/COM4521/ This Lecture Introduce the C programming language Basic C usage “Hello World” Functions and scoping Arrays, strings and basic IO File IO About C Developed in the 70s Low Level Compiled language Close to machine code (more expressive than assembly) Weakly
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Combining Branch Predictors J U N E 1 9 9 3 WRL Technical Note TN-36 Combining Branch Predictors Scott McFarling d i g i t a l Western Research Laboratory 250 University Avenue Palo Alto, California 94301 USA The Western Research Laboratory (WRL) is a computer systems research group that was founded by Digital Equipment
PowerPoint Presentation Parallel Computing with GPUs: OpenMP Dr Paul Richmond http://paulrichmond.shef.ac.uk/teaching/COM4521/ Last Lecture We looked at how to make programs fast on a single core But we didn’t consider parallelism Guess what we are going today? Multicore systems and OpenMP Parallelising Loops Critical Sections and Synchronisation Scoping Data vs Task Parallelism Multicore systems Multi-core CPUs
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Introduction_to_Extreme 2017-09-19 Introduction to the Extreme HPC Resource Advanced Cyberinfrastructure for Education and Research Expedite scientific innovation and discovery by providing data infrastructure to the UIC research community 1 2017-09-19 Outline • Extreme Architecture & Topology • Requesting an Extreme Account • Accessing the Cluster via SSH & SCP • Basic Linux Commands • Using
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