Introduction To Parallel Computing-Books Pdf

Introduction to Parallel Computing
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Purpose Goals Outline etc, Introduce broad concepts. Define terms, Explore a working model, Provide references. all in the context of parallel, By Robert Stadler Own work CC BY SA 3 0. http creativecommons org licenses by sa 3 0, via Wikimedia Commons. SAN DIEGO SUPERCOMPUTER CENTER, Purpose Goals Outline etc.
Introduction, Parallel Models, Performance Speedup. Example Application, By Robert Stadler Own work CC BY SA 3 0. http creativecommons org licenses by sa 3 0, via Wikimedia Commons. SAN DIEGO SUPERCOMPUTER CENTER, Parallel vs High Performance. In the abstract parallel, computing is a very broad.
this talk focuses on, applications synchronized, across processors. By User Minesweeper on en wikipedia Minesweeper, GFDL http www gnu org copyleft fdl html. or CC BY SA 3 0, high performance computing, http creativecommons org licenses by sa 3 0. via Wikimedia Commons, SAN DIEGO SUPERCOMPUTER CENTER. Why Parallel Computing, Impatience Greed, SAN DIEGO SUPERCOMPUTER CENTER.
Why Parallel Computing, Impatience Greed, The desire to solve The desire to solve. problems faster bigger problems or, improve accuracy. SAN DIEGO SUPERCOMPUTER CENTER, Why Parallel Computing. Impatience Greed, The desire to solve The desire to solve. problems faster bigger problems or, improve accuracy.
E g understanding E g to be correct when, climate change before modeling climate. it s too late change, SAN DIEGO SUPERCOMPUTER CENTER. Parallel Programming Models, Parallel programming, works around multiples of. the basic architecture with, some variation in memory. access IO path etc, Supercomputers are this, multiplied.
Source https computing llnl gov tutorials parallel comp. SAN DIEGO SUPERCOMPUTER CENTER, Shared Memory Programming. Typical single computer architecture, all processors access all memory. Applications can read and write memory, Watch out for race conditions Source https computing llnl gov tutorials parallel comp. Common tools, OpenMP threads, SAN DIEGO SUPERCOMPUTER CENTER. Distributed Memory Programming, Source https computing llnl gov tutorials parallel comp.
Grouping machines on a network provides, more memory larger problems. more CPUs faster solutions, Standard tool is the Message Passing Interface MPI. a library to abstract the network, SAN DIEGO SUPERCOMPUTER CENTER. Shared memory Threads, Distributed memory Tasks, SAN DIEGO SUPERCOMPUTER CENTER. Other Models, Hybrid parallelization, e g MPI code with.
threaded sections, Accelerator offload, GPU CUDA GLSL. Partitioned Global Address Space PGAS, High Throughput Computing. Google is your friend, SAN DIEGO SUPERCOMPUTER CENTER. Performance AKA Speedup, Strong scaling, More cores for same problem less time. Weak scaling, More cores for bigger problem same time.
Obviously which you want depends on your, SAN DIEGO SUPERCOMPUTER CENTER. Amdahl s Law, http en wikipedia org wiki Amdahl 27s law. P Fraction of the code that, can be parallelized, N Number of tasks. threads etc, 1 P Your enemy, By Daniel en File AmdahlsLaw svg. CC BY SA 3 0 http creativecommons org licenses by sa 3 0. via Wikimedia Commons, SAN DIEGO SUPERCOMPUTER CENTER.
Instrument Your Code, Know where your code spends, Chose the big blocks and dive. Start simple printf get, better tools as needed, SAN DIEGO SUPERCOMPUTER CENTER. SAN DIEGO SUPERCOMPUTER CENTER Introduction to Parallel Computing Rick Wagner HPC Systems Manager SDSC Summer Institute August 6 10 2012 San Diego CA

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