Parallel Programming: for Multicore and Cluster Systems- P42 potx

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...
Ngày tải lên : 03/07/2014, 16:21
  • 10
  • 257
  • 0
Parallel Programming: for Multicore and Cluster Systems- P42 docx

Parallel Programming: for Multicore and Cluster Systems- P42 docx

... can be impractical for large and sparse matrices, since fill-ins with non-zero elements increase the computational work. For banded 7.2 Direct Methods for Linear Systems with Banded Structure 395 Moreover, ... div q +1 = i for which the values ˜ x i−1 = x (i−1)q and ˜ x i+1 = x (i+1)q computed by processors P i−1 and P i+1 are needed. Figure 7.12 illustrates the parallel algori...
Ngày tải lên : 03/07/2014, 22:20
  • 10
  • 134
  • 0
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,...
Ngày tải lên : 03/07/2014, 16:21
  • 10
  • 198
  • 0
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...
Ngày tải lên : 03/07/2014, 16:21
  • 10
  • 291
  • 0
Parallel Programming: for Multicore and Cluster Systems- P15 potx

Parallel Programming: for Multicore and Cluster Systems- P15 potx

... 3.13 Parallel matrix–vector multiplication with (1) parallel computation of scalar products and replicated result and (2) parallel computation of linear combinations with (a) replicated result and ... 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 resou...
Ngày tải lên : 03/07/2014, 22:20
  • 10
  • 163
  • 0
Parallel Programming: for Multicore and Cluster Systems- P23 potx

Parallel Programming: for Multicore and Cluster Systems- P23 potx

... mode, the local execution and termination of a send operation is not influenced by non-local events as is the case for the synchronous mode and can be the case for standard mode if no or too small ... Sum MPI PROD Product MPI LAND Logical and MPI BAND Bit-wise and MPI LOR Logical or MPI BOR Bit-wise or MPI LXOR Logical exclusive or MPI BXOR Bit-wise exclusive or MPI MAXLOC Maximum...
Ngày tải lên : 03/07/2014, 22:20
  • 10
  • 190
  • 0
Parallel Programming: for Multicore and Cluster Systems- P31 potx

Parallel Programming: for Multicore and Cluster Systems- P31 potx

... 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. ... used as cleanup handler and arg spec- ifies the corresponding argument values. The cleanup handlers on the cleanup stack are organized in LIFO (last-in, first-out) order, i.e., the handlers...
Ngày tải lên : 03/07/2014, 22:20
  • 10
  • 178
  • 0
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...
Ngày tải lên : 03/07/2014, 16:20
  • 10
  • 343
  • 0
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...
Ngày tải lên : 03/07/2014, 16:20
  • 10
  • 396
  • 0
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...
Ngày tải lên : 03/07/2014, 16:20
  • 10
  • 379
  • 0