Parallel Programming: for Multicore and Cluster Systems- P15 potx

Parallel Programming: for Multicore and Cluster Systems- P15 pot

Parallel Programming: for Multicore and Cluster Systems- P15 pot

... Number of Threads and Sequentialization Depending on the design and implementation, the runtime of a parallel program based on threads can be quite different. For the design of a parallel program ... the case for the Pthreads library, see Sect. 6.1.10 for more details. The scheduler of the operating system on the other hand is tuned for an efficient use of the hardware resource...
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Parallel Programming: for Multicore and Cluster Systems- P36 potx

Parallel Programming: for Multicore and Cluster Systems- P36 potx

... reduction oper- ation performed in parallel by the threads of a team. For this kind of calculation OpenMP provides the reduction clause, which can be used for parallel, sections, and for constructs. The ... The second parallel loop performs the matrix multiplication in a nested for loop. The for construct applies to the first for loop with iteration variable row and, thus,...
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Parallel Programming: for Multicore and Cluster Systems- P39 potx

Parallel Programming: for Multicore and Cluster Systems- P39 potx

... operations are performed for one entry according to Formula (7.4), the computation time is max q∈P N col>k q · N row>k q ·2t op . In total, the parallel execution for all phases and all steps is T ... 3t op , and n(n−1)(2n−1) 3p · t op are independent of the specific choice of p 1 and p 2 and need not be considered. The terms n(n−1) 2 1 p 1 t op and t c p 2 (n − 1) log p...
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Parallel Programming: for Multicore and Cluster Systems- P42 potx

Parallel Programming: for Multicore and Cluster Systems- P42 potx

... of A and the value chosen for the relaxation parameter ω. For example the following property holds: If A is symmetric and positive definite and ω ∈ (0, 2), then the SOR method converges for every ... original ordering 408 7 Algorithms for Systems of Linear Equations Fig. 7.14 Program fragment in C notation and using MPI operations for a parallel Gauss–Seidel iteration for...
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Parallel Programming: for Multicore and Cluster Systems- P1 ppsx

Parallel Programming: for Multicore and Cluster Systems- P1 ppsx

... relevant for modern and future mul- ticore processors. The second part presents parallel programming models, performance models, and parallel programming environments for message passing and shared ... WaitandNotify 320 6.2.4 Extended Synchronization Patterns . . 326 Thomas Rauber · Gudula R ¨ unger Parallel Programming For Multicore and Cluster Systems 123 vi Preface...
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Parallel Programming: for Multicore and Cluster Systems- P2 pot

Parallel Programming: for Multicore and Cluster Systems- P2 pot

... techniques for selecting paths through networks and switching techniques for message forwarding over a given path. Section 2.7 considers memory hierarchies of sequential and parallel plat- forms and ... the resources of parallel platforms and to exchange data and information between these resources. Interconnection networks also play an impor- tant role in multicore proces...
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Parallel Programming: for Multicore and Cluster Systems- P3 pps

Parallel Programming: for Multicore and Cluster Systems- P3 pps

... multi- threading and multicore processors requiring an explicit specification of parallelism. 2.2 Flynn’s Taxonomy of Parallel Architectures Parallel computers have been used for many years, and many ... 2.3 (a) for an illustration. 14 2 Parallel Computer Architecture Chaps. 3 and 5. To perform message-passing, two processes P A and P B on different nodes A and B issue co...
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