Anshul Gupta  Anshul Gupta photo       

contact information

Parallel Computing, Scientific Computing, Numerical Linear Algebra, Sparse Matrix Algorithms
Thomas J. Watson Research Center, Yorktown Heights, NY USA
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Professional Associations

Professional Associations:  IEEE  |  IEEE Computer Society  |  Society for Industrial and Applied Mathematics


2010




2009

PFunc: modern task parallelism for modern high performance computing
Prabhanjan Kambadur, Anshul Gupta, Amol Ghoting, Haim Avron, Andrew Lumsdaine
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis (SC'09), pp. 43:1--43:11, ACM, 2009
Abstract


Sparse matrix factorization on massively parallel computers
A Gupta, S Koric, T George
SC 2010, pp. 1, ACM, 2009


2008

A recommendation system for preconditioned iterative solvers
T George, A Gupta, V Sarin
Data Mining, 2008, pp. 803--808


2007

A Shared-and distributed-memory parallel general sparse direct solver
A Gupta
Applicable Algebra in Engineering, Communication and Computing 18(3), 263--277, Springer, 2007

WSMP: Watson sparse matrix package (Part-III: iterative solution of sparse systems)
A Gupta
IBM T. J. Watson Research Center, 2007


2004

The effects of unsymmetric matrix permutations and scalings in semiconductor device and circuit simulation
O Schenk, S R{\"o}llin, A Gupta
IEEE Transactions On Computer-Aided Design Of Integrated Circuits And Systems 23(3), 2004


2003

An introduction to parallel computing: design and analysis of algorithms
A Gupta, A Grama, G Karypis, V Kumar
2003 - cs.umn.edu, Addison Wesley, Reading, MA

Improved symbolic and numerical factorization algorithms for unsymmetric sparse matrices
A Gupta
SIAM Journal on Matrix Analysis and Applications 24(2), 529--552, Citeseer, 2003


2002

Recent advances in direct methods for solving unsymmetric sparse systems of linear equations
A Gupta
ACM Transactions on Mathematical Software (TOMS) 28(3), 324, ACM, 2002


2000

Fast practical algorithms for the Boolean-product-witness-matrix problem
A Gupta, P Rohatgi, R Agarwal
Proceedings of the 2000 international symposium on Symbolic and algebraic computation, pp. 152




1999

Experience with a Recursive Perturbation Based Algorithm for Symmetric Indefinite Linear Systems⋆
A Gupta, F Gustavson, A Karaivanov, J Wasniewski, P Yalamov
Euro-Par’99 Parallel Processing, 1096--1103, Springer, 1999

On algorithms for finding maximum matchings in bipartite graphs
A Gupta, L Ying
IBM TJ Watson Research Center, Yorktown Heights, NY, Tech. Rep. RC 2157621576, 97320, 1999


1998

The design, implementation, and evaluation of a symmetric banded linear solver for distributed-memory parallel computers
A Gupta, F G Gustavson, M Joshi, S Toledo
ACM Transactions on Mathematical Software (TOMS) 24(1), 74--101, ACM, 1998


1997

Two-dimensional scalable parallel algorithms for solution of triangular systems
M Joshi, A Gupta, G Karypis, V Kumar
Proceedings of the 1997 International Conference on High Performance Computing (HiPC)

Highly scalable parallel algorithms for sparse matrix factorization
A Gupta, G Karypis, V Kumar
IEEE Transactions on Parallel and Distributed Systems 8(5), 502--520, 1997

Fast and effective algorithms for graph partitioning and sparse-matrix ordering
A Gupta
IBM Journal of Research and Development 41(1-2), 171--183, Citeseer, 1997


1996

A new parallel algorithm for tridiagonal symmetric positive definite systems of equations
F Gustavson, A Gupta
Applied Parallel Computing Industrial Computation and Optimization, 341--349, Springer, 1996


1995

Performance and scalability of preconditioned conjugate gradient methods on parallel computers
A Gupta, V Kumar, A Sameh
IEEE Transactions on Parallel and Distributed Systems 6(5), 455--469, Citeseer, 1995


1994

A parallel formulation of interior point algorithms
G Karypis, A Gupta, V Kumar
Proceedings of the 1994 conference on Supercomputing, pp. 213

Introduction to parallel computing: design and analysis of algorithms
V Kumar, A Grama, A Gupta, G Karypis
1994 - cs.umn.edu, The Benjamin/Cummings

Analyzing scalability of parallel algorithms and architectures
V Kumar, A Gupta
Journal of parallel and distributed computing 22(3), 379--391, Citeseer, 1994


1993

Scalability of parallel algorithms for matrix multiplication
A Gupta, V Kumar
1993 - computer.org, IEEE Computer Society

Isoefficiency: Measuring the scalability of parallel algorithms and architectures
A Y Grama, A Gupta, V Kumar
IEEE Parallel \& Distributed Technology: Systems \& Technology 1(3), 21, IEEE Computer Society Press, 1993

Performance properties of large scale parallel systems
A Gupta, V Kumar
To appear in Journal of Parallel and Distributed Computing, Citeseer, 1993

Isoe ciency function: A scalability metric for parallel algorithms and architectures
A Grama, A Gupta, V Kumar
IEEE Parallel and Distributed Technology, Special Issue on Parallel and Distributed Systems: From Theory to Practice 1(3), 12--21, Citeseer, 1993

The scalability of FFT on parallel computers
A Gupta, V Kumar
IEEE Transactions on Parallel and Distributed Systems 4(8), 922--932, 1993


1991

Analysis of scalability of parallel algorithms and architectures: A survey
V Kumar, A Gupta
Proceedings of the 5th international conference on Supercomputing, pp. 405, 1991