Exploiting Grids for applications in Condensed Matter Physics
Bhalchandra S. Pujari

TL;DR
This paper explores how distributed computing grids can be effectively utilized for large-scale condensed matter physics problems, demonstrating their suitability through specific case studies involving Density Functional Theory.
Contribution
It introduces a general algorithm for implementing and managing large-scale physics calculations on distributed computing grids, highlighting their broad applicability.
Findings
Grids are suitable for large-scale DFT calculations in condensed matter physics.
A general algorithm for grid-based problem management is proposed.
Case studies demonstrate successful application of grids in physics research.
Abstract
Grids - the collection of heterogeneous computers spread across the globe - present a new paradigm for the large scale problems in variety of fields. We discuss two representative cases in the area of condensed matter physics outlining the widespread applications of the Grids. Both the problems involve calculations based on commonly used Density Functional Theory and hence can be considered to be of general interest. We demonstrate the suitability of Grids for the problems discussed and provide a general algorithm to implement and manage such large scale problems.
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Taxonomy
TopicsDistributed and Parallel Computing Systems · Scientific Computing and Data Management · Computational Physics and Python Applications
