Investigating the Performance of Two Programming Models for Clusters of Commodity Smp
نویسنده
چکیده
Multiprocessors and high performance networks allow to build CLUsters of MultiProcessors (CLUMPs). A main distinctive feature over traditional parallel computers is their hybrid memory model (message passing between the nodes and shared memory inside the nodes). We evaluate the performance of a cluster of 2-way SMP PCs connected by a Myrinet network for NAS benchmarks from two programming: a Single Memory Model based on the MPICH-PM/CLUMP library of the RWCP and a Hybrid Memory Model using MPICH-PM and OpenMP. We compare 2-way SMP conngurations speed-up versus single CPU conngurations for each model. We demonstrate that better model depends on the features of the applications. In particular, we detail the speed-up results from breakdowns of the benchmarks execution times and from measurements of hardware counters. Then, we show that these two models give performance for PC based CLUMPs close to performance of scalable high-end multicomputers up to large con-gurations (36 nodes).
منابع مشابه
Message Passing Vs. Shared Address Space on a Clusters of SMPs
The emergence of scalable computer architectures using clusters of PCs (or PC-SMPs) with commodity networking has made them attractive platforms for high-end scientific computing. Currently, message passing (MP) and shared address space (SAS) are the two leading programming paradigms for these systems. MP has been standardized with MPI, and is the most common and mature parallel programming app...
متن کاملInvestigating the Performance of Two Programming Models for Clusters of SMP PCs
Multiprocessors and high performance networks allow building CLUsters of MultiProcessors (CLUMPs). One distinctive feature over traditional parallel computers is their hybrid memory model (message passing between the nodes and shared memory inside the nodes). We evaluate the performance of a cluster of dual processor PCs connected by a Myrinet network for NAS benchmarks using two programming mo...
متن کاملHigh-performance Algorithms and Applications for Smp Clusters
The future of high-performance computing relies on the efficient and scalable use of clusters with symmetric multiprocessor (SMP) nodes and low-latency, high-bandwidth interconnection networks. Current examples of such platforms include Sun Ultra HPC machines, Compaq AlphaServers with Quadrics switches, SGI Origins, and the IBM SP system with SMP nodes. Moreover, the future of NASA missioncriti...
متن کاملA New Prediction Oriented Barrier Synchronization on SMP Clusters
Clusters of Symmetric Multiprocessors (CSMP) are becoming an increasingly popular high-performance computing platform due to the commodity availability of multiprocessor nodes, mature SMP operating systems, low-latency, highbandwidth data networks, and superior price-performance ratio. Fast synchronization is crucial to making efficient use of SMP clusters. In this paper, we focus on one kind o...
متن کاملPerformance Evaluation of Two Programming Models for a Cluster of PC Biprocessors
We evaluate performance on NAS benchmarks of a cluster of 2-way SMP PCs connected by a Myrinet network. Two programming models are considered. A Single Memory Model uses the MPI-BIP/CLUMP library and gives the programmer a uniied memory view. A Hybrid Memory Model combines shared memory model within nodes and message passing between nodes. We compare 2-way SMP conngurations speed-up versus sing...
متن کامل