A Hilbert-order multiplication scheme for unstructured sparse matrices
International Journal of Parallel, Emergent and Distributed Systems
Reconsidering algorithms for iterative solvers in the multicore era
International Journal of Computational Science and Engineering
Parallel performances of a multigrid poisson solver
ISPDC'03 Proceedings of the Second international conference on Parallel and distributed computing
High-performance modeling acoustic and elastic waves using the parallel Dichotomy Algorithm
Journal of Computational Physics
Stochastic non sequitur behavior analysis of fault tolerant hybrid systems
Proceedings of the 14th international conference on Hybrid systems: computation and control
A parallel algebraic multigrid solver on graphics processing units
HPCA'09 Proceedings of the Second international conference on High Performance Computing and Applications
On the non hierarchical matrix representation of the negative, non integer order sobolev norms
LSSC'05 Proceedings of the 5th international conference on Large-Scale Scientific Computing
Algebraic multigrid solver on clusters of CPUs and GPUs
PARA'10 Proceedings of the 10th international conference on Applied Parallel and Scientific Computing - Volume 2
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From the Publisher:This compact yet thorough tutorial is the perfect introduction to the basic concepts of solving partial differential equations (PDEs) using parallel numerical methods. In just eight short chapters, the authors provide readers with enough basic knowledge of PDEs, discretization methods, solution techniques, parallel computers, parallel programming, and the run-time behavior of parallel algorithms to allow them to understand, develop, and implement parallel PDE solvers. Examples throughout the book are intentionally kept simple so that the parallelization strategies are not dominated by technical details.A Tutorial on Elliptic PDE Solvers and Their Parallelization is a valuable aid for learning about the possible errors and bottlenecks in parallel computing. One of the highlights of the tutorial is that the course material can run on a laptop, not just on a parallel computer or cluster of PCs, thus allowing readers to experience their first successes in parallel computing in a relatively short amount of time.This tutorial is intended for advanced undergraduate and graduate students in computational sciences and engineering; however, it may also be helpful to professionals who use PDE-based parallel computer simulations in the field.