Study on advanced programming environment using OpenMP for a next generation high performance cluster system

研究了下一代64位高性能集群的OpenMP编程环境，采用软件分布式共享内存（SDSM）系统使OpenMP程序在集群上运行。我们还开发了一个支持OpenMP的编程支持系统，以及使用OpenMP的数值库。设计并实现了一个可移植性很强的SDSM系统SCASH-MPI，该系统采用MPI作为通信层。MPI是支持多种高速通信网络的可移植性最强的通信库，因此这种方法提供了很高的可移植性，允许用户利用64位处理器的宽地址空间。通过对应用程序访问模式的分析，设计了一种新的SDSM系统FDSM。访问模式由IA 64提供的硬件机制检测，并用于有效的通信。4.研究了在异构机群的DSM系统中运行OpenMP程序的优化问题。我们发现循环重新划分和页面迁移的结合可以提高性能。5.设计并实现了交互式工具OMP/iPat，以支持程序员进行OpenMP程序开发。它允许程序员使用编译器的并行性分析信息交互地开发他的OpenMP程序。6.我们使用OpenMP基准测试SPEC-OMP进行了性能评估。在IA-64共享内存多处理器上，利用OpenMP设计并实现了一种并行递归FFT算法。

We have studied the OpenMP programming environment for the next generation 64-bit high-performance clusters, by using software distributed shared memory (SDSM) system to enable OpenMP program to run on the cluster. We have also developed a programming support system for OpenMP, and numerical libraries using OpenMP.1.We ported the SCore cluster system software to 64-bit processor architectures. We conducted the performance evaluation of SCASH DSM system which runs on SCore.2.We have designed and implemented a very portable SDSM system, SCASH-MPI which uses MPI as its communication layer. MPI is the most portable communication library supported for many kinds of high-speed communication network, so that this approach provide highly portability It allows the users to make use of wide address space in 64-bit processor. We found that the overhead of this implementation is just 6% comparing to the original SCASH.3.We have designed a new SDSM system, FDSM, by using the access pattern analysis of applications. The access pattern is detected by a hardware mechanism provided by IA64, and is used for efficient communication. It achieves more performance than SCASH.4.We have studied the optimization of OpenMP program running a DSM system of heterogeneous clusters. We found that the performance can be improved by the combination of the loop re-partitioning and the page migration.5.We have designed and implemented the interactive tool, OMP/iPat, to support the programmer for OpenMP program developments. It allows the programmer to develop his OpenMP program interactively using the information from parallelism analysis by the compiler.6.We have conducted the performance evaluation by using the OpenMP benchmark, SPEC-OMP. We have designed and implemented an algorithm of parallel recursive FFT by using OpenMP for IA-64 shared memory multi-processors.