This two-part article introduces the concepts of High Performance Computing (HPC) with Linux cluster technology and shows you how to set up clusters and write parallel programs.
这两篇系列文章简要介绍采用Linux集群技术的高性能计算(HPC)的概念，展示如何构建集群并编写并行程序。
His recent focus has been on high performance computing including in-memory data grid, parallel and grid computing.
他最近的关注点是高性能计算，包括内存数据网格、并行计算和网格计算。
Beside numerical and symbolic computational support, Mathematica includes image processing, parallel High-Performance Computing (HPC), interactive documents, and others.
除了支持数值和符号计算，Mathematica还包括图像处理、并行的高性能计算(HPC)、交互式文档及其它内容。
Designed a hybrid parallel algorithm of Laplace's equation, and compared its performance with pure MPI algorithm on the HL-2A high performance computing system.
建立了对拉普拉斯偏微分方程求解的混合并行算法，并在HL - 2 A高性能计算系统上同纯mpi算法作了性能方面的比较。
In recent years, the high performance computing (HPC) technology vigorous development, more and more science computing problem could be solved through the parallel programming.
近年来，高性能计算技术蓬勃发展，越来越多的科学计算问题能够通过并行程序设计得到解决。
In general, the application program running in High-Performance computing Cluster shorten computing period through parallel arithmetic.
高性能集群上运行的应用程序一般通过并行算法来缩短计算周期。
The parallel computer system based on PC clusters is an important branch of parallel processing techniques, and it is an efficient way of High-Performance Computing.
机群并行计算机系统是并行处理技术的一个重要分支，是进行高性能计算的一个有效途径。
Recently, cluster computer technology is the hot spot of research in the high-performance parallel computing system.
集群计算机技术是当今高性能并行计算机系统中的一个研究热点。
The parallel computing environment based on message passing has provided powerful support for the high performance-computing cluster.
基于消息传递机制的并行计算环境为这种高性能集群计算提供了强有力的支持。
Accurate velocity model building, advanced PSDM, high efficient parallel computing, 3-d visualization and performance optimization are characteristic techniques.
具有独特的速度建模、叠前深度偏移成像、高效并行计算、三维可视化和性能优化等特色技术。
Data mining techniques have their origins in methods from statistics, pattern recognition, databases, artificial intelligence, high performance and parallel computing and visualization.
数据挖掘技术起源于从统计方法，模式识别，数据库，人工智能，高性能和并行计算和可视化。
This design is implemented in the FT64 stream processor. By using it, multiple FT64 processors can transfer data through a high-performance network and perform parallel stream computing.
该设计应用于FT64流处理器上，使得多个流处理器能够通过高性能网络进行数据传输，以便进行并行流数据运算。
This design is implemented in the FT64 stream processor. By using it, multiple FT64 processors can transfer data through a high-performance network and perform parallel stream computing.
该设计应用于FT64流处理器上，使得多个流处理器能够通过高性能网络进行数据传输，以便进行并行流数据运算。
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