On the Performance of MPI-OpenMP on a 12 Nodes Multi-core Cluster

نویسندگان

  • Abdelgadir Tageldin Abdelgadir
  • Al-Sakib Khan Pathan
  • Mohiuddin Ahmed
چکیده

With the increasing number of Quad-Core-based clusters and the introduction of compute nodes designed with large memory capacity shared by multiple cores, new problems related to scalability arise. In this paper, we analyze the overall performance of a cluster built with nodes having a dual Quad-Core Processor on each node. Some benchmark results are presented and some observations are mentioned when handling such processors on a benchmark test. A Quad-Core-based cluster's complexity arises from the fact that both local communication and network communications between the running processes need to be addressed. The potentials of an MPI-OpenMP approach are pinpointed because of its reduced communication overhead. At the end, we come to a conclusion that an MPI-OpenMP solution should be considered in such clusters since optimizing network communications between nodes is as important as optimizing local communications between processors in a multi-core cluster.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A load balancing parallel method for frequent pattern mining on multi-core cluster

In this paper, we present a new parallel method named SDFEM that enables frequent pattern mining (FPM) on cluster with multiple multi-core compute nodes to provide high performance. SDFEM is distinguished from previous parallel FPM works due to incorporating three advanced features to provide high mining performance for large-scale data analytic applications. First, SDFEM combines both shared m...

متن کامل

Parallel computing using MPI and OpenMP on self-configured platform, UMZHPC.

Parallel computing is a topic of interest for a broad scientific community since it facilitates many time-consuming algorithms in different application domains.In this paper, we introduce a novel platform for parallel computing by using MPI and OpenMP programming languages based on set of networked PCs. UMZHPC is a free Linux-based parallel computing infrastructure that has been developed to cr...

متن کامل

Using Hybrid Parallel Programming Techniques for the Computation, Assembly and Solution Stages in Finite Element Codes

The so called “hybrid parallelism paradigm”, that combines programming techniques for architectures with distributed and shared memories using MPI (Message Passing Interface) and OpenMP (Open Multi-Processing) standards, is currently adopted to exploit the growing use of multi-core computers, thus improving the efficiency of codes in such architectures (several multi-core nodes or clustered sym...

متن کامل

Performance analysis of pure MPI versus MPI+OpenMP for Jacobi Iteration and a 3D FFT on the Cray XT5

Today many high performance computers are collections of shared memory compute nodes with each compute node having one or more multi-core processors. When writing parallel programs for these machines, one can use pure MPI or various hybrid approaches using MPI and OpenMP. Since OpenMP threads are lighter weight than MPI processes, one would expect that hybrid approaches will achieve better perf...

متن کامل

Hierarchical Parallel Approach in Vascular Network Modeling - Hybrid MPI+OpenMP Implementation

This paper presents a two-level parallel algorithm of vascular network development. At the outer level, tasks (newly appeared parts of tissue) are spread over processing nodes. Each node attempts to connect/disconnect its assigned parts of tissue in all vascular trees. Communication between nodes is accomplished by a message passing paradigm. At the inner level, subtasks concerning different va...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011