Wednesday Oct 04, 12pm-1pm, 1116-E Klaus
Exploration of Dynamic Job Scheduling with Network Simulations
Advisor: Prof. Srinivas Aluru
Job scheduling policies are known to have a significant impact on the throughput of jobs running on supercomputers. With the widescale adoption of low-diameter networks, inter-job interference has become prevalent and affects the performance of individual applications, which in turn impacts the system throughput. As a result, an accurate analysis and comparison of various job scheduling policies should also account for the variations in runtimes of individual jobs due to network interference. To this end, we have added the ability to simulate dynamic job scheduling in a network simulation tool called TraceR. In this talk, I will give a brief overview of TraceR and then describe the implementation of the capability to simulate dynamic job scheduling using TraceR.
Ankit is a 3rd year PhD student working with Dr Srinivas Aluru. Before this, he worked as part of the parallel computational fluid dynamics team of ANSYS, Inc. after receiving his bachelor's degree from Indian Institute of Technology, Kanpur. His research interests are in the field of high-performance computing, automata processing, and graph algorithms.