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	Gupta, Anshul     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending Date Reviewed     1 - 5 of 6 reviews       Topics in parallel and distributed computing: introducing concurrency in undergraduate courses Prasad S., Gupta A., Rosenberg A., Sussman A., Weems C., Morgan Kaufmann Publishers Inc., San Francisco, CA, 2015. 360 pp.  Type: Book (978-0-128038-99-4) Providing practical assistance for adding parallel programming at an early stage to undergraduate students in computer science is the aim of this book. Although presented as a book, it is really a collection of separate articles by dif...... Jan 27 2016     Sparse matrix factorization on massively parallel computers Gupta A., Koric S., George T.  SC 2009 (Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, Portland, OR, Nov 14-20, 2009) 1-12, 2009.  Type: Proceedings Gupta, Koric, and George consider direct methods for solving large sparse linear systems. As the authors themselves admit that “direct methods have a high asymptotic computational and memory requirement relative to iterative ...... Jun 16 2010     The design, implementation, and evaluation of a symmetric banded linear solver for distributed-memory parallel computers Gupta A., Gustavson F., Joshi M., Toledo S. ACM Transactions on Mathematical Software 24(1): 74-101, 1998.  Type: Article The design and implementation of an efficient algorithm for solving symmetric banded linear systems on distributed-memory parallel computers are described. The design goals for this effort were to produce a blocked version of the Chole...... Mar 1 1999     Highly Scalable Parallel Algorithms for Sparse Matrix Factorization Gupta A., Karypis G., Kumar V. (ed) IEEE Transactions on Parallel and Distributed Systems 8(5): 502-520, 1997.  Type: Article The authors present new parallel algorithms for Cholesky factorization of large sparse symmetric positive definite matrices. They claim that their parallel multifrontal methods are the first that scale as well as methods for dense matr...... Nov 1 1997     Performance and Scalability of Preconditioned Conjugate Gradient Methods on Parallel Computers Gupta A., Kumar V. (ed), Sameh A. IEEE Transactions on Parallel and Distributed Systems 6(5): 455-469, 1995.  Type: Article An important problem in scientific computing is solving large sparse systems of linear equations A x = b. In this fundamental research paper, the authors study the performance and scalability of parallel formulations...... Nov 1 1996     Display 510152550100 per column
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