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W. Schreiner, "Developing a Distributed System for Algebraic Geometry", in B.H.V. Topping, (Editor), "Developments in Computational Mechanics with High Performance Computing", Civil-Comp Press, Edinburgh, UK, pp 137-145, 1999. doi:10.4203/ccp.57.6.1

Abstract

We report on a project on parallelizing parts of the software library CASA for computing with and reasoning about objects in algebraic geometry with applications in computer aided geometric design and solid modeling. CASA is implemented in the language of the computer algebra system Maple; we therefore have developed "Distributed Maple" as an environment for executing parallel Maple programs on multiple computers of a network. Using this environment, we have started the parallelization of some important CASA algorithms; for a particular subproblem we achieve a speedup of 15 on a heterogeneous network with 24 processors distributed among PCs, workstations, and shared memory multiprocessors.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 57 DEVELOPMENTS IN COMPUTATIONAL MECHANICS WITH HIGH PERFORMANCE COMPUTING Edited by: B.H.V. Topping Paper VI.1 Developing a Distributed System for Algebraic Geometry W. Schreiner Research Institute for Symbolic Computation, Johannes Kepler University, Linz, Austria doi:10.4203/ccp.57.6.1 purchase the full-text of this paper Full Bibliographic Reference for this paper W. Schreiner, "Developing a Distributed System for Algebraic Geometry", in B.H.V. Topping, (Editor), "Developments in Computational Mechanics with High Performance Computing", Civil-Comp Press, Edinburgh, UK, pp 137-145, 1999. doi:10.4203/ccp.57.6.1 Abstract We report on a project on parallelizing parts of the software library CASA for computing with and reasoning about objects in algebraic geometry with applications in computer aided geometric design and solid modeling. CASA is implemented in the language of the computer algebra system Maple; we therefore have developed "Distributed Maple" as an environment for executing parallel Maple programs on multiple computers of a network. Using this environment, we have started the parallelization of some important CASA algorithms; for a particular subproblem we achieve a speedup of 15 on a heterogeneous network with 24 processors distributed among PCs, workstations, and shared memory multiprocessors. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £70 +P&P)
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