cluster computing ppt

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
[6] N. J. Boden, D. Cohen, R. E. Felderman, A.E. Kulawik, C.L. Seitz, J.N. Seizovic, and
Wen-King Su, “Myrinet: A Gigabit-per-second Local Area Network,” IEEE Micro, vol. 15,
Feb. 1995, pp. 29-36.
[7] K. Alnaes, E. H. Kristiansen, D. B. Gustavson, and D. V. James, “Scalable Coherent
Interface,” Proc. 1990 IEEE International Conference on Computer Systems and Software
Engineering (CompEuro ’90), Tel-Aviv, Israel, May 1990, pp. 446-453.
[8] D. Cameron, and G. Regnier, Virtual Interface Architecture, Intel Press, Apr. 2002.
[9] Message Passing Interface (MPI) Forum, http://www.mpi-forum.org
[10] M. Baker, A. Apon, R. Buyya, and H. Jin, “Cluster Computing and Applications,”
Encyclopedia of Computer Science and Technology, vol. 45, A. Kent, and J. Williams (eds.),
Marcel Dekker, Jan. 2002, pp. 87-125.