'Parallel algorithm' presentation slideshows

An Introduction to Parallel Processing

Guy Tel- Zur tel-zur@computer.org. An Introduction to Parallel Processing. Talk Outline. Motivation Basic terms Methods of Parallelization Examples Profiling, Benchmarking and Performance Tuning Common H/W (GPGPU) Supercomputers HTC and Condor Grid Computing and Cloud Computing

1.82k views • 163 slides

Principles of Parallel Algorithm Design

1.03k views • 86 slides

An Introduction to Parallel Programming with MPI

An Introduction to Parallel Programming with MPI. March 22, 24, 29, 31 2005 David Adams. Outline. Disclaimers Overview of basic parallel programming on a cluster with the goals of MPI Batch system interaction Startup procedures Blocking message passing Non-blocking message passing

681 views • 55 slides

Parallel Programming in C with MPI and OpenMP

Parallel Programming in C with MPI and OpenMP. Michael J. Quinn. Chapter 14. Sorting. Outline. Sorting problem Sequential quicksort Parallel quicksort Hyperquicksort Parallel sorting by regular sampling. Sorting Problem. Permute: unordered sequence ? ordered sequence

1.22k views • 50 slides

June 24, 2013 Jason Su

June 24, 2013 Jason Su. Technologies for C/C++/Fortran. Single machine, multi-core P(OSIX) threads: bare metal multi-threading OpenMP : compiler directives that implement various constructs like parallel-for Single machine, GPU CUDA/ OpenCL : bare metal GPU coding

627 views • 50 slides

Parallel Programming

Parallel Programming. Sathish S. Vadhiyar Course Web Page: http://www.serc.iisc.ernet.in/~vss/courses/PPP2009. Motivation for Parallel Programming. Faster Execution time due to non-dependencies between regions of code Presents a level of modularity Resource constraints. Large databases.

703 views • 49 slides

ME964 High Performance Computing for Engineering Applications

664 views • 49 slides

Big Data Technologies Lecture 3: Algorithm Parallelization

561 views • 41 slides

Parallel System Performance: Evaluation & Scalability

Parallel System Performance: Evaluation & Scalability. Factors affecting parallel system performance: Algorithm-related, parallel program related, architecture/hardware-related. Workload-Driven Quantitative Architectural Evaluation:

795 views • 37 slides

Sources of Parallelism and Locality

Sources of Parallelism and Locality. Slide source http://www.cs.berkeley.edu/~demmel/cs267_Spr99. Recap: Parallel Models and Machines. Machine models Programming models shared memory - threads distributed memory - message passing - data parallel

544 views • 34 slides

Lecture 3: Parallel Algorithm Design

Lecture 3: Parallel Algorithm Design. Techniques of Parallel Algorithm Design. Balanced binary tree Pointer jumping Accelerated cascading Divide and conquer Pipelining Multi-level divide and conquer . . . . . Balanced binary tree.

476 views • 32 slides

L22: Parallel Programming Language Features (Chapel and MapReduce)

499 views • 31 slides

COLUMNWISE BLOCK-STRIPED DECOMPOSITION

548 views • 25 slides

Efficient Longest Common Subsequence Computation using Bulk-Synchronous Parallelism

Efficient Longest Common Subsequence Computation using Bulk-Synchronous Parallelism. Peter Krusche and Alexander Tiskin Department of Computer Science University of Warwick May 09/2006. Outline. Introduction LLCS Computation The BSP Model Problem Definition and Algorithms

434 views • 25 slides

Parallel and Distributed Processing CSE 8380

Parallel and Distributed Processing CSE 8380. February 3, 2005 Session 7. Contents. Abstract Models PRAM Model Complexity Analysis Introduction to Parallel Algorithms Sorting. What is a Model?.

379 views • 23 slides

Landmark Selection and Greedy Landmark-Decent Routing for Sensor Network

INFOCOM 2007. Landmark Selection and Greedy Landmark-Decent Routing for Sensor Network. An Nguyen, Nikola Milosavljevic , Qing Fang, Jie Gao , and Leonidas J. Guibas Dept. of Computer Science, Stanford University. ?? ? ??? ??? ????? ? ???????? 20075273 ???. Outline. Introduction

425 views • 23 slides

The Fast Evaluation of Hidden Markov Models on GPU

The Fast Evaluation of Hidden Markov Models on GPU. Presented by Ting-Yu Mu & Wooyoung Lee. Introduction. Hidden Markov Model (HMM): A statistical method (Probability based) Used in a wide range of applications: Speech recognition Computer vision Medical image analysis

480 views • 22 slides

Scalable Multi-core Model Checking Fairness Enhanced Systems

Scalable Multi-core Model Checking Fairness Enhanced Systems. Yang Liu, Jun Sun and Jin Song Dong School of Computing National University of Singapore. Outline. General Introduction to PAT http://pat.comp.nus.edu.sg Motivation: Parallel Model Checking Model Checking with Fairness

345 views • 20 slides

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325 views • 17 slides

Parallelism

Parallelism. A new way of thinking about solving problems for your generation. WE HAVE BEEN LIVING IN SERIAL WORLD WITH SERIAL THINKING. http://www.youtube.com/watch?v=ZrJeYFxpUyQ. Help Bill Gates get dressed. What else: write an algorithm!. Pre-condition: Mr. Gates in pajama gown

184 views • 6 slides