Parallel Programming: for Multicore and Cluster Systems- P47 docx

Parallel Programming: for Multicore and Cluster Systems- P47 pot

Parallel Programming: for Multicore and Cluster Systems- P47 pot

... 59 Parallel loop, 103 doall loop, 103 dopar loop, 102 forall loop, 102 in OpenMP, 343 Parallel matrix-vector product column-oriented, 129 row-oriented, 126 Parallel region in OpenMP, 340 Parallel ... protocols, 76 SOR method, 403 parallel implementation, 405 Spanning tree, 122 SPEC benchmarks, 8 Speedup, 162 SPMD, 101, 109 Standard mode in MPI, 212 Store -and- forward routing, 59 St...

Ngày tải lên: 03/07/2014, 16:21

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Parallel Programming: for Multicore and Cluster Systems- P12 docx

Parallel Programming: for Multicore and Cluster Systems- P12 docx

... used for distributed address space. The fork–join concept is, for example, used in OpenMP for the creation of threads executing a parallel loop, see Sect. 6.3 for more details. The spawn and exit ... t1 and t2 are temporary array variables.  More information on parallel loops and their execution as well as on transforma- tions to improve parallel execution can be found in...

Ngày tải lên: 03/07/2014, 16:20

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Parallel Programming: for Multicore and Cluster Systems- P23 docx

Parallel Programming: for Multicore and Cluster Systems- P23 docx

... the case for point-to-point operations. The main reason for this is to avoid a large number of additional MPI functions. For the same rea- son, only the standard modus is supported for collective ... array aout and the corresponding process ranks are stored in array ind. For the collection of the information based on value pairs, a data structure is defined for the elements of ar...

Ngày tải lên: 03/07/2014, 16:21

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Parallel Programming: for Multicore and Cluster Systems- P24 docx

Parallel Programming: for Multicore and Cluster Systems- P24 docx

... of the p processes and therefore lies between 0 and p −1. For a correct execution, each participating process must provide for each other process data blocks of the same size and must also receive ... useful for the implementation of task -parallel programs and are the basis for the communication mechanism of MPI. In many situations, it is useful to partition the processes ex...

Ngày tải lên: 03/07/2014, 16:21

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Parallel Programming: for Multicore and Cluster Systems- P28 docx

Parallel Programming: for Multicore and Cluster Systems- P28 docx

... use a different order for locking the mutex variables. This can be seen for two threads T 1 and T 2 and two mutex variables ma and mb as follows: • thread T 1 first locks ma and then mb; • thread ... priorities and the scheduling strategies used, see Sect. 6.1.9 for more information. The order in which waiting threads become owner of a mutex variable is not defined in the Pthrea...

Ngày tải lên: 03/07/2014, 16:21

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Parallel Programming: for Multicore and Cluster Systems- P31 docx

Parallel Programming: for Multicore and Cluster Systems- P31 docx

... call removes the most recently added handler from the cleanup stack. For execute=0, this handler will be executed when it is removed. For execute=0, this handler will be removed without execution. ... cancelled while waiting for the condition variable ps->cond. In this case, the thread first becomes the owner of the mutex variable before termination. Therefore, a cleanup handler is u...

Ngày tải lên: 03/07/2014, 16:21

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Parallel Programming: for Multicore and Cluster Systems- P41 docx

Parallel Programming: for Multicore and Cluster Systems- P41 docx

... effort which is needed for banded matrices with a dense band of semi-bandwidth N. In the following, we consider the method of cyclic reduction for banded matrices, which preserves the sparse banded ... Illustration of the parallel algorithm for the cyclic reduction for n = 8 equations and p = 2 processors. Each of the processors is responsible for q = 4 equations; we have Q = 2....

Ngày tải lên: 03/07/2014, 16:21

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Parallel Programming: for Multicore and Cluster Systems- P43 docx

Parallel Programming: for Multicore and Cluster Systems- P43 docx

... F 00  ·  x (k) R x (k) B  +ω  b 1 b 2  . For a parallel implementation the component form of this system is used. On the other hand, for the convergence results the matrix form and the iteration matrix have ... R n R ×n R , D B ∈ R n B ×n B , E ∈ R n B ×n R , and F ∈ R n R ×n B . The submatrices D R and D B are diagonal matrices and the submatrices E and F are sparse band...

Ngày tải lên: 03/07/2014, 16:21

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