LINUX HPC clustering

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Presentation Transcript

LINUX HPC CLUSTERING : 

LINUX HPC CLUSTERING Presented by SOMY JOSE S7 CS-b

Table of Contents : 

Table of Contents INTRODUCTION TYPES OF CLUSTERS BEOWULF CLUSTERS GENERAL CLUSTER ARCHITECTURE COMPONENTS OVERVIEW ADVANTAGES APPLICATIONS CONCLUSION REFERENCES

INTRODUCTION : 

INTRODUCTION What is Clustering? Clustering is the use of multiple computers, typically PCs or UNIX workstations, multiple storage devices, and redundant interconnections, to form what appears to users as a single highly available system Load balancing and high availability Low-cost form of parallel processing machine Divide the tasks amongst the available servers

TYPES OF CLUSTERS : 

TYPES OF CLUSTERS Solve a problem Fall in to 2 broad categories High Availability (HA) and High-Performance Computing (HPC) HPC- Greater computational power than one computer alone could provide HA- Provide extremely reliable services

High Availability Clusters : 

High Availability Clusters Web clusters and Web farms Load balancing cluster Web server cluster Application server cluster Database server cluster

High-Performance Computing Clusters : 

High-Performance Computing Clusters Focuses on developing supercomputers, parallel processing algorithms, and related software Solve large scientific problems Store and process large amounts of data high-throughput computing Distributed computing HP clusters typified by Beowulf clusters

BEOWULF CLUSTERS : 

BEOWULF CLUSTERS Scalable performance clusters Used to run parallel programs Built on commodity hardware deploying Linux OS and open source software Class I clusters Class II clusters Written using languages such as C and FORTRAN Message passing

History : 

History Donald Becker and Thomas Sterling Commodity-based cluster system Initial prototype Contributing Factors Hardware, software, experience and expectation The Community Behind Beowulf Growth of Beowulf

GENERAL CLUSTER ARCHITECTURE : 

GENERAL CLUSTER ARCHITECTURE Application Deployment Hardware architecture Network architecture Software architecture

Application Deployment : 

Application Deployment Parallelism Computer architecture Software application program interface (API) architecture Application architecture Creating the application Bottlenecks

Hardware architecture : 

Hardware architecture Cluster components User Control Management Storage Installation Compute

Network architecture : 

Network architecture How to design the cluster network Remote access/Equinox terminal server

Software architecture : 

Software architecture Operating system File system Inter Process Communication (IPC) Resource management

COMPONENTS OVERVIEW : 

COMPONENTS OVERVIEW Hardware Head node Compute nodes Management Network Software Operating system System management Development Resource management

ADVANTAGES : 

ADVANTAGES Runs on a wide range of hardware Exceptionally stable Source code is freely distributed Relatively virus free Having a wide variety of tools and applications for free Good environment for developing cluster infrastructure

APPLICATIONS : 

APPLICATIONS Improved Calculation Performance Scientific computing Making movies Commercial servers Re-Usability of Information Sharing Information and Collaboration Information Management

CONCLUSION : 

CONCLUSION A general idea of utilizing the available resources by making the users aware of the knowledge and concepts of Linux. Linux operating system, which is considered as a bit complex and much more technical than other operating systems.

REFERENCES : 

REFERENCES Beowulf Cluster Computing with Linux, 2nd Edition... by William Gropp How to Build a Beowulf: A Guide to the Implementation... by Thomas Sterling Linux HPC Cluster Installation…by Luis Ferreira http://beowulf.org/

Thank you : 

Thank you Questions…???