Parallel Computing: Theory and Practice by Michael J. Quinn | LibraryThingThe objective of this course is to give you some level of confidence in parallel programming techniques, algorithms and tools. At the end of the course, you would we hope be in a position to apply parallelization to your project areas and beyond, and to explore new avenues of research in the area of parallel programming. The course covers parallel programming tools, constructs, models, algorithms, parallel matrix computations, parallel programming optimizations, scientific applications and parallel system software. Direct linear algebra pdf Sparse LA. Sections
Mod-01 Lec-10 Models of Parallel Computation,Complexity
Parallel Computing: Theory and Practice
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