Anshul Gupta

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2009
20Demand-driven execution of static directed acyclic graphs using task parallelism. Prabhanjan Kambadur, Anshul Gupta, Torsten Hoefler, Andrew Lumsdaine. HiPC 2009, 284-293. Web SearchBibTeXDownload
19PFunc: modern task parallelism for modern high performance computing. Prabhanjan Kambadur, Anshul Gupta, Amol Ghoting, Haim Avron, Andrew Lumsdaine. SC 2009. Web SearchBibTeXDownload
2000
18Fast practical algorithms for the Boolean-product-witness-matrix problem. Anshul Gupta, Pankaj Rohatgi, Ramesh C. Agarwal. ISSAC 2000, 146-152. Web SearchBibTeXDownload
1999
17PSPASES: An Efficient and Scalable Parallel Sparse Direct Solver. Mahesh V. Joshi, George Karypis, Vipin Kumar, Anshul Gupta, Fred G. Gustavson. PPSC 1999. Cited by 10Web SearchBibTeX
1998
16The Design, Implementation, and Evaluation of a Symmetric Banded Linear Solver for Distributed-Memory Parallel Computers. Anshul Gupta, Fred G. Gustavson, Mahesh V. Joshi, Sivan Toledo. ACM Trans. Math. Softw. (24): 74-101 (1998). Web SearchBibTeXDownload
15WSSMP: A High-Performance Serial and Parallel Symmetric Sparse Linear Solver. Anshul Gupta, Mahesh V. Joshi, Vipin Kumar. PARA 1998, 182-194. Cited by 10Web SearchBibTeXDownload
1997
14Highly Scalable Parallel Algorithms for Sparse Matrix Factorization. Anshul Gupta, George Karypis, Vipin Kumar. IEEE Trans. Parallel Distrib. Syst. (8): 502-520 (1997). Cited by 164Web SearchBibTeXDownload
13Design and Implementation of a Scalable Parallel Direct Solver for Sparse Symmetric Positive Definite Systems: Preliminary Results. Anshul Gupta, Fred G. Gustavson, Mahesh V. Joshi, George Karypis, Vipin Kumar. PPSC 1997. Web SearchBibTeX
1996
12The Design, Implementation, and Evaluation of a Banded Linear Solver for Distributed-Memory Parallel Computers. Anshul Gupta, Fred G. Gustavson, Mahesh V. Joshi, Sivan Toledo. PARA 1996, 328-340. Web SearchBibTeXDownload
1995
11Performance and Scalability of Preconditioned Conjugate Gradient Methods on Parallel Computers. Anshul Gupta, Vipin Kumar, Ahmed H. Sameh. IEEE Trans. Parallel Distrib. Syst. (6): 455-469 (1995). Cited by 66Web SearchBibTeXDownload
10Optimally Scalable Parallel Sparse Cholesky Factorization. Anshul Gupta, Vipin Kumar. PPSC 1995, 442-447. Cited by 22Web SearchBibTeX
9A Highly Parallel Interior Point Algorithm. George Karypis, Anshul Gupta, Vipin Kumar. PPSC 1995, 110-112. Web SearchBibTeX
8Parallel Algorithms for Forward and Back Substitution in Direct Solution of Sparse Linear Systems. Anshul Gupta, Vipin Kumar. SC 1995. Cited by 24Web SearchBibTeXDownload
1994
7A parallel formulation of interior point algorithms. George Karypis, Anshul Gupta, Vipin Kumar. SC 1994, 204-213. Cited by 42Web SearchBibTeXDownload
6A scalable parallel algorithm for sparse Cholesky factorization. Anshul Gupta, Vipin Kumar. SC 1994, 793-802. Cited by 23Web SearchBibTeXDownload
1993
5Scalability of Parallel Algorithms for Matrix Multiplication. Anshul Gupta, Vipin Kumar. ICPP 1993, 115-123. Cited by 42Web SearchBibTeX
4The Scalability of FFT on Parallel Computers. Anshul Gupta, Vipin Kumar. IEEE Trans. Parallel Distrib. Syst. (4): 922-932 (1993). Cited by 136Web SearchBibTeXDownload
3Performance Properties of Large Scale Parallel Systems. Anshul Gupta, Vipin Kumar. J. Parallel Distrib. Comput. (19): 234-244 (1993). Cited by 49Web SearchBibTeXDownload
2Performance and Scalability of Preconditioned Conjugate Gradient Methods on the CM-5. Anshul Gupta, Vipin Kumar, Ahmed H. Sameh. PPSC 1993, 664-674. Web SearchBibTeX
1991
1Analysis of scalability of parallel algorithms and architectures: a survey. Vipin Kumar, Anshul Gupta. ICS 1991, 396-405. Cited by 48Web SearchBibTeXDownload
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