PPT-ECE 757 Review: Parallel Processors

Prof Mikko Lipasti Lecture notes based in part on slides created by John Shen Mark Hill David Wood Guri Sohi Jim Smith Erika Gunadi Mitch Hayenga Vignyan Reddy . 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 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.. vs. Sequential Algorithms. Design of efficient algorithms. A parallel computer is of little use unless efficient parallel algorithms are available.. The issue in designing parallel algorithms are very different from those in designing their sequential counterparts.. Contents . Vector processor. Vector instructions. Vector pipelines. Scalar pipeline execution. Vector pipeline execution. Symbolic processors. Attributes. Characteristics. Vector Processors. A vector processor is specially designed to perform vector computations.. II. Interconnects. Instructor:Mikko. H . Lipasti. Spring 2017. University of Wisconsin-Madison. Lecture notes . created by Natalie . Enright . Jerger. Lecture Outline. Introduction to Networks. Network Topologies. Computing. Jie Liu. , . Ph.D.. Professor. Computer Science Division. Western Oregon University. Monmouth, Oregon, USA. liuj@wou.edu. outline. The . fastest computers. The PRAM model. The O(1) algorithm that finds the max. By:. Atena. . Daneshmandi. Outline. Introduction. Typology of Parallel . Tasks. Task . Graphs. A Deterministic module . A Deterministic module by Gantt . Chart. C# Example(Three Tasks in Parallel). Complexity . Quarter: Summer 2017. CSE 373: Data Structures and Algorithms. Lecture . 23: Parallelism: Map, Reduce, Analysis. Today. More on parallelism. Map & Reduce . Analysis of Efficiency. Reminder: . C. ome visit my office hours to pick up midterm. “Greater Each Day” USS DWIGHT D. EISENHOWER Welcome Aboard! COMMANDING OFFICER CAPT KYLE P. HIGGINS EXECUTIVE OFFICER CAPT JONATHAN J. BRADFORD COMMAND MASTER CHIEF CMDCM JASON T. REYNOLDS ECE i -BEST ECE Advisory Committee 11.17.17 Janette Clay & Nicole Hopkins what IS I-BEST? I ntegrated B asic E ducation & S kills T raining “Bridge” from Transitional S tudies  college level classes 1 Emergency Operations Plan 2020 - 2021 2 VIRGINIA WESLEYAN UNIVERSITY EMERGENCY OPERATIONS PLAN EMERGENCY Virginia Wesleyan sees safety as a top priority in creating an educational environment where SUNMONTUEWEDTHUFRISAT1234567891011121314151617181920Eligi-bility SwimsSign-Up2122Eligi-bility SwimsSign-Up2324252627VirtualParents Meeting630pm28293031October 202010/20 -By Sign-Up10/22 -By Sign-UpVir �䀀EJCA65I!!0W%&0+'!/0S!%S($%U(+%!(F47?9G3䀀!J7䀀5䀀!E3F43:6?JX!6295!95!7!?37䀀:3=!5D9??!5&#x!A00;86983!3:I!%æ 0;&#x.2 0;J!J7H:9:@K!823H9:@!@4C!7:=!5H7??9:@!57?9O7I!U7:J!87:!?37&#xH -0 Massively Parallel Processors. Instructor:Mikko. H . Lipasti. Spring 2017. University of Wisconsin-Madison. Lecture notes based on slides created by John . Shen. , Mark Hill, David Wood, . Guri. . Sohi.