Suhas Phadke

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SUMMARY 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(More)
SUMMARY 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(More)
SUMMARY 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(More)
SUMMARY Parallel computers are evaluated by measuring their processor and communication speeds. But, for many large-scale applications the I/O performance is the bottleneck rather than the computational or communication performance. 3-D seismic imaging is one of such applications. Seismic data sets, consisting of recorded pressure waves, can be very large,(More)
SUMMARY In this paper we describe the MPI (Message Passing Interface) implementation of an algorithm for solving 3D acoustic wave equation. The derivatives are approximated by central differences and the solution is obtained in a distributed computing environment. Numerical solution uses an explicit finite difference scheme, which is second order accurate(More)
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