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{{GPU621/DPS921 Index | 2014120187}}
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== GPU621/DPS921 - Parallel Algorithms and Programming Techniques ==
*Large data and compute-intensive problems benefit from parallel solutions. Modern hardware has parallel processing capabilities in varying degrees. Students study a set of industry-standard parallel patterns and learn how to implement parallel algorithms on multi-processor accelerators, shared memory systems and distributed systems using a range of programming models.
* [https://secureict.senecac.onsenecacollege.ca/ssos/findWithoutSemester/GPU6921course/SICT gpu621 GPU621 Course Outline]* [https://secure.senecacict.onsenecacollege.ca/ssos/findWithoutSemester/DPS921course/SICT dps921 DPS921 Course Outline]
== Instructor ==
* [https://scs.senecac.on.ca/~chris.szalwinski Chris Szalwinski]
== External Links ==
* The workshops provide timely opportunities to implement some of the material covered during the lectures. Each workshop is graded and all submissions are through [https://open.senecac.on.ca/cms/course/view.php?id=438 Moodle].
* Detail Specifications
*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w1.html Programming ModelsPlatforms]*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w2.html DebuggingFalse Sharing]*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w3.html Map-ReducePrefix Scan]*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w4.html Map-ScanConvolution]*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w5.html ConvolutionThreading Building Blocks]*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w6.html Fork-JoinVectorization]*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w7.html PipelineFork Join]*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w8.html BinData Decomposition]*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w9.html MPIScatter Gather]*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w10.html Fortran]*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w11.html MatlabOptimization]* Grading - The due date for each workshop is noted in [https://open.senecac.on.ca/cms/course/view.php?id=438 Moodle]MySeneca. The penalty for late submission is 5030% of the workshop mark. == Assignments ==# [https://scs.senecac.on.ca/~gpu621/pages/assignments/a1.html Prefix Sum Analysis]# [https://scs.senecac.on.ca/~gpu621/pages/assignments/a2.html MPI Project]
== Evaluation ==
* Assignments and Presentation Project 20%* Workshops 30%* Workshops 20Tests without Final Exam 50%* Test 20Tests with Final Exam 35%* Final Exam 30(optional) 15%
= Resources =
* Current Software Support** [http:Matrix*** Cilk Plus - /usr/developerlocal/gcc/gcc-cilk/bin/g++ - version 4.nvidia9.com/cuda-downloads CUDA Toolkit]0 experimental** Get [https:* TBB - /usr/inside.senecacollege.calocal/itsgcc/software/indextbb - version 4.1 update 4 (20130613)** T2108*** Matrix Image (as above)*** CUDA 5.html 5 July 2013 - supports Visual Studio 2012 Ultimate] | Select Software Downloads | Go To Visual Studio 2012 Ultimate 1.49GB | Download iso | Burn, if error burn again | Finally, install
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