Master’s Examination Committee: Approved by
BibTeX
@MISC{Sridhar_master’sexamination,
author = {Jaidev K. Sridhar and Prof Dhabaleswar K. P and Jaidev K. Sridhar},
title = {Master’s Examination Committee: Approved by},
year = {}
}
OpenURL
Abstract
Moores Law – frequency scaling and exploitation of Instruction Level Parallelism due to increasing transistor density no longer leads performance gains in modern systems due to limitations in power dissipation. This has led to an increased focus on deriving performance gains by taking advantage of Data Level Parallelism through parallel computing. Clusters – groups of commodity compute nodes connected via a modern interconnect have emerged as the top supercomputers in the World and the Message Passing Interface (MPI) has emerged as the de facto standard in parallel processing models on large clusters. Scientific and financial applications have ever increasing demands for compute cycles and the emergence of multi-core processors has driven an enormous growth in the cluster sizes in recent years. InfiniBand has emerged as a popular low-latency, high-bandwidth interconnect of choice in these large clusters. With cluster sizes continuing to scale, the scalability of MPI libraries and associated system support and resources such as the job launcher have been at the center







