Padma Raghavan
Padma Raghavan
Distinguished Professor of Computer Science, Vanderbilt University
Verified email at - Homepage
Cited by
Cited by
A Cartesian parallel nested dissection algorithm
MT Heath, P Raghavan
SIAM Journal on Matrix Analysis and Applications 16 (1), 235-253, 1995
Realizing the potential of data science
F Berman, R Rutenbar, B Hailpern, H Christensen, S Davidson, D Estrin, ...
Communications of the ACM 61 (4), 67-72, 2018
Reducing power with performance constraints for parallel sparse applications
G Chen, K Malkowski, M Kandemir, P Raghavan
19th IEEE International Parallel and Distributed Processing Symposium, 8 pp., 2005
Fault tolerant preconditioned conjugate gradient for sparse linear system solution
M Shantharam, S Srinivasmurthy, P Raghavan
Proceedings of the 26th ACM international conference on Supercomputing, 69-78, 2012
Performance of a fully parallel sparse solver
MT Heath, P Raghaven
Scalable High-Performance Computing Conference, 1994., Proceedings of the …, 1994
Research and education in computational science and engineering
U Rüde, K Willcox, LC McInnes, HD Sterck
Siam Review 60 (3), 707-754, 2018
Characterizing the impact of soft errors on iterative methods in scientific computing
M Shantharam, S Srinivasmurthy, P Raghavan
Proceedings of the international conference on Supercomputing, 152-161, 2011
Sparse matrix reordering schemes for browsing hypertext
MW Berry, B Hendrickson, P Raghavan
Lectures in applied mathematics-American Mathematical Society 32, 99-124, 1996
Distributed orthogonal factorization: Givens and Householder algorithms
A Pothen, P Raghavan
SIAM Journal on Scientific and Statistical Computing 10 (6), 1113-1134, 1989
An integrated framework for multi-scale materials simulation and design
ZK Liu, LQ Chen, P Raghavan, Q Du, JO Sofo, SA Langer, C Wolverton
Journal of computer-aided materials design 11, 183-199, 2004
Performance of greedy ordering heuristics for sparse Cholesky factorization
EG Ng, P Raghavan
SIAM Journal on Matrix Analysis and Applications 20 (4), 902-914, 1999
A helper thread based EDP reduction scheme for adapting application execution in CMPs
Y Ding, M Kandemir, P Raghavan, MJ Irwin
2008 IEEE International Symposium on Parallel and Distributed Processing, 1-14, 2008
NUMA-aware graph mining techniques for performance and energy efficiency
M Frasca, K Madduri, P Raghavan
SC'12: Proceedings of the International Conference on High Performance …, 2012
Parallel processing for scientific computing
MA Heroux, P Raghavan, HD Simon
Society for Industrial and Applied Mathematics, 2006
Efficient parallel sparse triangular solution using selective inversion
P Raghavan
Parallel Processing Letters 8 (01), 29-40, 1998
Level search schemes for information filtering and retrieval
X Zhang, MW Berry, P Raghavan
Information processing & management 37 (2), 313-334, 2001
Adaptive sparse linear solvers for implicit CFD using Newton-Krylov algorithms
L McInnes, B Norris, S Bhowmick, P Raghavan
Proceedings of the Second MIT Conference on Computational Fluid and Solid …, 2003
Analyzing the soft error resilience of linear solvers on multicore multiprocessors
K Malkowski, P Raghavan, M Kandemir
2010 IEEE International Symposium on Parallel & Distributed Processing …, 2010
Scalable parallel graph partitioning
S Kirmani, P Raghavan
Proceedings of the international conference on high performance computing …, 2013
Adapting sparse triangular solution to GPUs
B Suchoski, C Severn, M Shantharam, P Raghavan
2012 41st International Conference on Parallel Processing Workshops, 140-148, 2012
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