Parallel Programming Henri Bal Vrije Universiteit Faculty of Sciences Amsterdam.

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Presentation transcript:

Parallel Programming Henri Bal Vrije Universiteit Faculty of Sciences Amsterdam

Overview What is this large display?? What is parallel programming? Why do we need parallel programming? Organization of this course Specialization Parallel Programming & Visualization Practicum Parallel Programming

Parallel Programming Sequential programming Single thread of control Parallel programming Multiple threads of control Why parallel programming?

Parallel Programming Sequential programming Single thread of control Parallel programming Multiple threads of control Why parallel programming? Eases programming? Not really.

Parallel Programming Sequential programming Single thread of control Parallel programming Multiple threads of control Why parallel programming? Eases programming? Not really. Performance? Yes!

Parallel Processing Many applications need much faster machines Sequential machines are reaching their speed limits Use multiple processors to solve large problems fast Microprocessors are getting cheaper and cheaper

Grand Challenges Applications with high impact on industry or society Require extraordinary performance: 1 Teraflop = operations/sec Several Teraflop parallel machines exist See

Challenging Applications Analyzing video images Aircraft modeling Ozone layer modeling Climate modeling Ocean circulation Quantum chemistry General: computational science Computer chess Protein folding

About this Course Goal: Study how to write programs that run in parallel on a large number of machines. Focus on programming methods, languages, applications Prerequisites: Some knowledge about sequential languages Little knowledge about networking and operating systems

Aspects of Parallel Computing Algorithms and applications Programming methods, languages, and environments Parallel machines and architectures

Course Outline Introduction in software and applications Parallel machines and architectures Overview of parallel machines Cluster computers (Myrinet) Programming methods, languages, and environments Message passing (SR, MPI, Java) Higher-level languages: Linda, Orca, HPF Applications N-body problems, graphics, game tree search World-wide parallel computing (Globus)

Course Information Examination Written exam based on: - Reader - Handouts - Lectures More information (slides, recommended books):

Specialization Parallel Programming &Visualization New specialization in 5-year Computer Science program Official start in 2002/2003 Together with Physics-Applied Computer Science (Division of Physics and Astronomy)

Courses Parallel programming (this course) Parallel programming practicum Computer graphics Scientific visualization

Practicum Parallel Programming Separate practicum (6 ECTS) Implement ASP + SOR algorithms in C/MPI Implement IDA* search algorithm in Orca or Java/RMI Test and measure the programs on our DAS cluster

More information Register by to (Rob van Nieuwpoort) now Starts after MPI lecture (27 October) See for a complete description