PPT-HW5: Parallelization

Author : calandra-battersby | Published Date : 2016-05-11

Conways Game of Life Simple 2D universe with simple rules complex results 1 Any live cell with fewer than two live neighbors dies 2 Any live cell with more than

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HW5: Parallelization: Transcript


Conways Game of Life Simple 2D universe with simple rules complex results 1 Any live cell with fewer than two live neighbors dies 2 Any live cell with more than three live neighbors . Kaushik. . Rajan. Abhishek. . Udupa. William Thies. Rigorous Software Engineering. Microsoft Research, India. Parallelization Reconsidered. Are there dependences between loop iterations?. No. Yes. DOALL Parallelism. Test in Loops. By . Amala. Gandhi. Data Dependence. Three types of data dependence:. Flow (True) dependence : read-after-write. . int. a, b, c;. a . = c * 10;. b . = 2 * a + c. ;. Anti Dependency: write-after-read. 12/01/2009. . Air France, Sophia . Antipolis. . . Solutions. and Services for . Accelerating. . your. Applications. . ProActive Parallel Suite . . Speed-up . applications by distributing them over a set of resources . Nathaniel Husted, Steve Myers, . abhi. . shelat. , . Paul . Grubbs. Alice . and Bob want to compute a public function of their private inputs.. Secure Two-party Computation. Disease Database. Alice. via. Merge Semantics in STMs. Kaushik. . Ravichandran. (kaushikr@gatech.edu). Santosh. . Pande. (santosh@cc.gatech.edu) . College of Computing. Georgia Institute of Technology. Introduction. Connected Components Problem and Speculative Parallelization. Anthony Waterman. Topics to Discuss. Are online games . c. onceptually. . p. arallel?. What portions of a game benefit from parallelization?. Graphics Processing Units (GPUs) . General-Purpose . C. omputing . Kaushik. . Rajan. Abhishek. . Udupa. William Thies. Rigorous Software Engineering. Microsoft Research, India. Parallelization Reconsidered. Are there dependences between loop iterations?. No. Yes. DOALL Parallelism. on Single-chip Shared-memory Multicores. Masab. Ahmad, . Kartik. . Lakhsminrarsimhan. , Omer Khan. University of Connecticut. Agenda. Motivation. Characterization Methodology. Characterization Results. Konstantinos Theodorakos. January 2015. Modern Processor Design. “Free lunch is over”. Lower Power consumption is favored on multi-core/processor architectures. CBD Parallelization . intention. Why Parallelize CBD models?. ECE 751, Fall 2015. Peng . Liu. 1. Overview. What? JavaScript . Engine optimization. How? Light-weight . software speculation mechanism. 2. [1] Heine. , David, et al. Software and hardware for exploiting speculative parallelism with a multiprocessor. Computer Systems Laboratory, Stanford University, 1997. Parallelization of Sparse Coding & Dictionary Learning Univeristy of Colorado Denver Parallel Distributed System Fall 2016 Huynh Manh 11/15/2016 1 Contents Introduction to Sparse Coding Applications of Sparse Representation Iterative Local Searches. Martin . Burtscher. 1. and Hassan Rabeti. 2. 1. Department of Computer Science, Texas State University-San Marcos. 2. Department of Mathematics, Texas State University-San Marcos. Iterative Local Searches. Martin . Burtscher. 1. and Hassan Rabeti. 2. 1. Department of Computer Science, Texas State University-San Marcos. 2. Department of Mathematics, Texas State University-San Marcos. Decoupled Software Pipelining. University of Michigan. November 10, 2021. Announcements + Reading Material. Research paper presentations. 3 more . today + my . last presentation today. Fill out quizzes (feedback forms) on canvas.

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