The performance and scalability of SHMEM and MPI‐2 one‐sided routines on a SGI Origin 2000 and a Cray T3E‐600

Luecke, Glenn R.; Spanoyannis, Silvia; Kraeva, Marina

doi:10.1002/cpe.796

Cited by 16 publications

(7 citation statements)

References 8 publications

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“…We carry out this experimental study for one additional reason: it offers a comparison of the communication performance of the three libraries on a cluster of PC workstations under a realistic set of benchmark programs. In that respect, our work serves similar but more general objectives than the work of [8] that compares SHMEM and MPI functionality and [18][19][20] that evaluate MPI-2 one-sided functions on a variety of high performance parallel machines.…”

Section: Introductionmentioning

confidence: 99%

Remote Memory Access: A Case for Portable, Efficient and Library Independent Parallel Programming

Gerbessiotis

Lee

2004

Scientific Programming

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In this work we make a strong case for remote memory access (RMA) as the effective way to program a parallel computer by proposing a framework that supports RMA in a library independent, simple and intuitive way. If one uses our approach the parallel code one writes will run transparently under MPI-2 enabled libraries but also bulk-synchronous parallel libraries. The advantage of using RMA is code simplicity, reduced programming complexity, and increased efficiency. We support the latter claims by implementing under this framework a collection of benchmark programs consisting of a communication and synchronization performance assessment program, a dense matrix multiplication algorithm, and two variants of a parallel radix-sort algorithm and examine their performance on a LINUX-based PC cluster under three different RMA enabled libraries: LAM MPI, BSPlib, and PUB. We conclude that implementations of such parallel algorithms using RMA communication primitives lead to code that is as efficient as the message-passing equivalent code and in the case of radix-sort substantially more efficient. In addition our work can be used as a comparative study of the relevant capabilities of the three libraries.

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Section: Introductionmentioning

confidence: 99%

Remote Memory Access: A Case for Portable, Efficient and Library Independent Parallel Programming

Gerbessiotis

Lee

2004

Scientific Programming

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“…We evaluate the effectiveness of MC-Checker by using five real-world MPI one-sided applications: (1) emulate, a program emulating distributed shared memory; (2) BT-broadcast [21], a binary tree broadcast algorithm using one-sided MPI discussed in a paper's appendix; (3) lockopts, an RMA test case in the MPICH [22] library package; (4) ping-pong, a benchmark using ARMCI-MPI [23] in the MPICH library package; and (5) jacobi, an MPI one-sided implementation of the Jacobi method. The first three applications contain real-world bug cases of memory consistency errors within an epoch or across processes.…”

Section: Evaluation Methodologymentioning

confidence: 99%

“…This section presents two representative real-world bug cases evaluated in our experiments. One is from the algorithm in the appendix of a paper by Leucke et al [21], while the other one is from the RMA test case in the MPICH package.…”

Section: A Case Studiesmentioning

confidence: 99%

MC-Checker: Detecting Memory Consistency Errors in MPI One-Sided Applications

Chen

Dinan

Tang

et al. 2014

SC14: International Conference for High Performance Computing, Networking, Storage and Analysis

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One-sided communication decouples data movement and synchronization by providing support for asynchronous reads and updates of distributed shared data. While such interfaces can be extremely efficient, they also impose challenges in properly performing asynchronous accesses to shared data. This paper presents MC-Checker, a new tool that detects memory consistency errors in MPI one-sided applications. MC-Checker first performs online instrumentation and captures relevant dynamic events, such as one-sided communications and load/store operations. MC-Checker then performs analysis to detect memory consistency errors. When found, errors are reported along with useful diagnostic information. Experiments indicate that MC-Checker is effective at detecting and diagnosing memory consistency bugs in MPI one-sided applications, with low overhead, ranging from 24.6% to 71.1%, with an average of 45.2%.

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“…These challenges should to be studied to gain the objective of these architectures. Several Studies [4], [15], [16] , [18] have been addressed the performance of MPI applications on several hardware platforms, but little attention has been focused on using multi-core architectures supported by Microsoft Windows as an operating system and MPICH2 as an MPI implementation. In this paper we use the dual core Window-based platform to study the effect of parallel processes number and also the number of cores on the performance of three MPI parallel implementations for some sorting algorithms.…”

Section: Related Workmentioning

confidence: 99%

Parallel Performance of MPI Sorting Algorithms on Dual-Core Processor Windows-Based Systems

Elnashar¹

2011

IJDPS

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Message Passing Interface (MPI) is widely used to implement parallel programs. Although Windowsbased architectures provide the facilities of parallel execution and multi-threading, little attention has been focused on using MPI on these platforms. In this paper we use the dual core Window-based platform to study the effect of parallel processes number and also the number of cores on the performance of three MPI parallel implementations for some sorting algorithms.

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The performance and scalability of SHMEM and MPI‐2 one‐sided routines on a SGI Origin 2000 and a Cray T3E‐600

Abstract: SUMMARY

Cited by 16 publications

References 8 publications

Remote Memory Access: A Case for Portable, Efficient and Library Independent Parallel Programming

Remote Memory Access: A Case for Portable, Efficient and Library Independent Parallel Programming

MC-Checker: Detecting Memory Consistency Errors in MPI One-Sided Applications

Parallel Performance of MPI Sorting Algorithms on Dual-Core Processor Windows-Based Systems

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