Suhas Phadke

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High level of I/O performance is necessary in making use of parallel machines for many scientific applications. In this paper we discuss the I/O requirements of one such application: 3D seismic migration. I/O performance is the bottleneck rather than the computational or communication performance in 3D seismic imaging. For large 3D data volume it is not(More)
This paper examines and anlyzes the dynamics of some computationally intensive seismic applications on a parallel computer. Natural divisibility into smaller tasks and localized communication pattern in seismic applications give strong motivation towards its performance on parallel machines. However we focus here on 3D poststack depth migration and 2D(More)
Seismic wave modelling algorithms used for calculating the seismic response of a given earth model, require large computational resources in terms of speed and memory. In this paper we describe the PVM (Parallel Virtual Machine) implementation of these algorithms in a distributed computing environment. Both the acoustic and elastic wave modelling equations(More)
Simulation step-size optimization based on an analytical step-size selection rule is applied to the waveform level simulation of polarization multiplexed optical signal propagation through dispersion compensated optical fiber links over a large range of simulation accuracy level, chromatic dispersion, and differential group delay. Extensive numerical(More)
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