Description: OpenMP下的并行计算Barnes-Hut问题. 只实现了computeandupdateforce部分的并行-OpenMP parallel computing under the Barnes-Hut problem. Computeandupdateforce only realize a part of the parallel Platform: |
Size: 61440 |
Author:Chengjia Huo |
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Description: This a mutlicore and cluster(of single-core,multi-core systems) matrix inversion code.
Which uses the MPI(Message Passing Interface) for communication across the compute nodes of cluster and using thread-API based OpenMP(Open Multi Processing) between cores of intra-compute or head node.-This is a mutlicore and cluster(of single-core,multi-core systems) matrix inversion code.
Which uses the MPI(Message Passing Interface) for communication across the compute nodes of cluster and using thread-API based OpenMP(Open Multi Processing) between cores of intra-compute or head node. Platform: |
Size: 2048 |
Author:shraddha |
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Description: 本人写的一个快速排序的程序，同时写出了用openmp进行的并行计算程序，并且对于串行和并行进行了时间的比较，希望对于初学openmp的同志有所帮助！-I was sort of a fast process, at the same time to write with the openmp parallel computing procedures, and serial and parallel for a comparison of the time, I hope for the beginner gay openmp help! Platform: |
Size: 5120 |
Author:郭春付 |
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Description: In this text, students of applied mathematics, science and engineering are introduced to fundamental ways of thinking about the broad context of parallelism. The authors begin by giving the reader a deeper understanding of the issues through a general examination of timing, data dependencies, and communication. These ideas are implemented with respect to shared memory, parallel and vector processing, and distributed memory cluster computing. Threads, OpenMP, and MPI are covered, along with code examples in Fortran, C, and Java. The principles of parallel computation are applied throughout as the authors cover traditional topics in a first course in scientific computing. Building on the fundamentals of floating point representation and numerical error, a thorough treatment of numerical linear algebra and eigenvector/eigenvalue problems is provided. By studying how these algorithms parallelize, the reader is able to explore parallelism inherent in other computations, such as Monte Carlo methods Platform: |
Size: 1644544 |
Author:zahid |
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Description: PySPH is an open source framework for Smoothed Particle Hydrodynamics
(SPH) simulations. It is implemented in
`Python <http://www.python.org>`_ and the performance critical parts
are implemented in `Cython <http://www.cython.org>`_.
PySPH allows users to write their high-level code in pure Python. This
Python code is automatically converted to high-performance Cython which
is compiled and d. PySPH can also be configured to work
seamlessly with OpenMP and MPI.
-PySPH is an open source framework for Smoothed Particle Hydrodynamics
(SPH) simulations. It is implemented in
`Python <http://www.python.org>`_ and the performance critical parts
are implemented in `Cython <http://www.cython.org>`_.
PySPH allows users to write their high-level code in pure Python. This
Python code is automatically converted to high-performance Cython which
is compiled and d. PySPH can also be configured to work
seamlessly with OpenMP and MPI.
Platform: |
Size: 2493440 |
Author:apm |
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