Difference between revisions of "GPU621/DPS921"

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(Course Material)
(Workshops)
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* 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].
 
* 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
 
* Detail Specifications
*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w1.html Programming Models]
+
*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w1.html Platforms]
*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w2.html Debugging]
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*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w2.html False Sharing]
*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w3.html Map-Reduce]
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*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w3.html Prefix Scan]
*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w4.html Map-Scan]
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*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w4.html Convolution]
*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w5.html Convolution]
+
*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w5.html Threading Building Blocks]
*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w6.html Fork-Join]
+
*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w6.html Vectorization]
*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w7.html Pipeline]
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*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w7.html Data Decomposition]
*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w8.html Bin]
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*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w8.html Scatter Gather]
*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w9.html MPI]
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*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w9.html Fork Join]
*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w10.html Fortran]
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*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w10.html Optimization]
*# [https://scs.senecac.on.ca/~gpu621/pages/workshops/w11.html Matlab]
+
* Grading - The due date for each workshop is noted in MySeneca.  The penalty for late submission is 50% of the workshop mark.
* Grading - The due date for each workshop is noted in [https://open.senecac.on.ca/cms/course/view.php?id=438 Moodle].  The penalty for late submission is 50% of the workshop mark.
 
  
 
== Evaluation ==
 
== Evaluation ==

Revision as of 15:47, 7 September 2016


GPU621/DPS921 | Participants | Groups and Projects | Resources | Glossary

Please help make this page resourceful for all GPU621/DPS921 students to use!

Course Material

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.
  • GPU621 Course Outline
  • DPS921 Course Outline

Instructor

External Links

Workshops

Evaluation

  • Assignments and Presentation 30%
  • Workshops 20%
  • Test 20%
  • Exam 30%

Resources

  • Current Software Support
    • Matrix
      • Cilk Plus - /usr/local/gcc/gcc-cilk/bin/g++ - version 4.9.0 experimental
      • TBB - /usr/local/gcc/tbb - version 4.1 update 4 (20130613)
    • T2108
      • Matrix Image (as above)
      • CUDA 5.5 July 2013 - supports Visual Studio 2012