Parallel Programming: for Multicore and Cluster Systems- P32 doc

... the predefined class Thread from the standard package java.lang. This class is used for the representation of threads and provides methods for the creation and management of threads. The interface ... Thus, global and dynam- ically allocated variables can be accessed by each thread of a process. For each thread, a private stack is maintained for the organization of function calls...

Ngày tải lên: 03/07/2014, 16:21

... 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...

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... 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...

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... 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...

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... environments for shared address spaces, see Chap. 6. This means that the accessing process locks the accessed window before the actual access and releases the lock again afterwards. To lock a window before ... the number of copies to be started for each program, and infos[] provides additional instructions for each program. The other arguments have the same meaning as for MPI comm...

Ngày tải lên: 03/07/2014, 16:21

... Chapter 6 Thread Programming Several parallel computing platforms, in particular multicore platforms, offer a shared address space. A natural programming model for these architectures is a thread ... develop correct and efficient thread programs that can be used, for example, on multicore architectures. 6.1 Programming with Pthreads POSIX threads (also called Pthreads) define a stan...

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... 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...

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... 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...

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... 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....

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... 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