This document provides an overview of cluster computing. It defines a cluster as a collection of interconnected computers working together as a single system. The key components of a cluster are applications, middleware, operating systems, and an interconnect. Clusters can be used for parallel and distributed processing using multiple nodes. Nodes include master and compute nodes. Clusters provide benefits like availability, performance, and scalability through the use of commodity hardware and software. Popular tools for clustering include Linux, compilers, MPI and PVM. Example applications are Google Search and petroleum simulation.

1. A
Seminar
On
Cluster Computing
Department of Computer Science & Engineering,
PRM Institute Of Technology & Research, Badnera.
2016-2017
Submitted by Guided by
ADARSH A. MOHARLE Prof.A.A.CHAUDHARI

2. Introduction
Definition
Cluster Architecture
Cluster Component
Parallel/Distributed Processing Clusters
Cluster Nodes
Cluster Network
Software and Tools for Clustering
Message Passing System
Cluster Applications
Benefits
Conclusions
References
CONTENTS

3.  Cluster computing can be described as a fusion of the
fields of parallel, high-performance, distributed, and
high-availability computing.
 The use of clusters as computing platform is not just
limited to scientific and engineering applications.
INTRODUCTION

4.  A cluster is defined as a collection of interconnected
workstations or PCs Cooperatively working together as a single,
integrated computing resource .
DEFINiTION

5. CLUSTER ARCHITECTURE

6.  Application
 Middleware
 Operating System
 Interconnect
CLUSTER COMPONENTS

7. Multiple processors in a specially designed parallel
computer .
Uses a number of nodes to simultaneously solve a specific
computational or data-mining task .
Parallel/Distributed Processing Clusters

8. ► single rack-unit multiprocessor
systems .
►provide options for either
32-bit or 64-bit processors
systems.
►Responsibilities:
master (Or head) node
compute (or slave) nodes.
CLUSTER NODES

9.  The high performance commodity servers and the
availability of high speed, low-latency network switch
technologies that provide the inter-nodal communications.
 Ethernet continues to be a leading interconnect technology
for many clusters.
CLUSTER NETWORK

10. Software and Tools for Clustering
 Linux is a freely available UNIX
 It provides features.
 Compilers
 FORTRAN
 GNU C

11. Message Passing System
It provide a high-level means of passing
data between process executing on distributed
memory systems .
Type of message passing system
MPI (Message Passing Interface)
PVM (Parallel Virtual Machine)

12.  Google Search Engine
 Petroleum Reservoir Simulation
CLUSTER APPLICATIONS

13. BENEFITS
 The main benefits of the Cluster are:
 Availability
 Performance
 Scalability

14. Clusters as well as the technologies available for
building clusters. The main importance is placed on using
commodity-based hardware and software components to
achieve high performance and scalability and at the same
time keeping the price/performance low.

15. REFERENCES
[1] R. Buyya (ed.), High Performance Cluster Computing: Architectures and Systems, vol.
1, Prentice Hall, 1999.
[2] T. E. Anderson, D. Culler, and D. A. Patterson, "A Case for NOW (Network of
Workstations)," IEEE Micro, vol. 15, pp. 54-64, Feb. 1995.
[3] A. Chien, S. Pakin, M. Lauria, M. Buchanan, K. Hane, L. Giannini, and J. Prusakova,
“High Performance Virtual Machines (HPVM): Clusters with Supercomputing APIs and
Performance,” Proc. 8th SIAM Conference on Parallel Processing for Scientific
Computing (PP97), Minneapolis, USA, Mar. 1997.
[4] G. F. Pfister, In Search of Clusters, 2nd Edition, Prentice Hall, 1998.
[5] T. Shanley, Infiniband Network Architecture, Addison-Wesley, Nov. 2002.

16. continued
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[9] Message Passing Interface (MPI) Forum, http://www.mpi-forum.org
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