Year |
Citation |
Score |
2019 |
Gainaru A, Sun H, Aupy G, Huo Y, Landman BA, Raghavan P. On-the-fly scheduling versus reservation-based scheduling for unpredictable workflows The International Journal of High Performance Computing Applications. 33: 1140-1158. DOI: 10.1177/1094342019841681 |
0.409 |
|
2019 |
Phan T, Pallez G, Ibrahim S, Raghavan P. A New Framework for Evaluating Straggler Detection Mechanisms in MapReduce Acm Transactions On Modeling and Performance Evaluation of Computing. 4: 1-22. DOI: 10.1145/3328740 |
0.348 |
|
2018 |
Aupy G, Benoit A, Dai S, Pottier L, Raghavan P, Robert Y, Shantharam M. Co-scheduling Amdahl applications on cache-partitioned systems International Journal of High Performance Computing Applications. 32: 123-138. DOI: 10.1177/1094342017710806 |
0.716 |
|
2015 |
Aupy G, Shantharam M, Benoit A, Robert Y, Raghavan P. Co-scheduling algorithms for high-throughput workload execution Journal of Scheduling. DOI: 10.1007/S10951-015-0445-X |
0.725 |
|
2015 |
Booth JD, Raghavan P. Hybrid sparse linear solutions with substituted factorization Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8969: 145-155. DOI: 10.1007/978-3-319-17353-5_13 |
0.545 |
|
2013 |
Vetter JS, Raghavan P. Special issue: Selected papers from super computing 2012 Scientific Programming. 21: 63-64. DOI: 10.1155/2013/370826 |
0.315 |
|
2013 |
Shantharam M, Youn Y, Raghavan P. Speedup-aware co-schedules for efficient workload management Parallel Processing Letters. 23. DOI: 10.1142/S012962641340001X |
0.723 |
|
2012 |
Frasca M, Raghavan P. Phase partitioning methods for I/O cache optimization Proceedings of the International Conference On Parallel Processing. 360-368. DOI: 10.1109/ICPP.2012.50 |
0.463 |
|
2011 |
Shantharam M, Chatterjee A, Raghavan P. Exploiting dense substructures for fast sparse matrix vector multiplication International Journal of High Performance Computing Applications. 25: 328-341. DOI: 10.1177/1094342011414748 |
0.667 |
|
2010 |
Raghavan P, Teranishi K. Parallel hybrid preconditioning: Incomplete factorization with selective sparse approximate inversion Siam Journal On Scientific Computing. 32: 1323-1345. DOI: 10.1137/080739987 |
0.413 |
|
2009 |
Ding Y, Kandemir M, Raghavan P, Irwin MJ. Adapting application execution in CMPs using helper threads Journal of Parallel and Distributed Computing. 69: 790-806. DOI: 10.1016/J.Jpdc.2009.04.004 |
0.431 |
|
2008 |
Teranishi K, Raghavan P, Zhang J, Wang T, Chen L, Liu Z. Readily regenerable reduced microstructure representations Computational Materials Science. 42: 368-379. DOI: 10.1016/J.Commatsci.2007.07.015 |
0.32 |
|
2008 |
Teranishi K, Raghavan P, Sun J, Michaleris P. An evaluation of limited-memory sparse linear solvers for thermo-mechanical applications International Journal For Numerical Methods in Engineering. 74: 1690-1715. DOI: 10.1002/Nme.2239 |
0.396 |
|
2007 |
Menon M, Richter E, Lee I, Raghavan P. Si-Nanotrees: Structure and Electronic Properties Journal of Computational and Theoretical Nanoscience. 4: 252-256. DOI: 10.1166/Jctn.2007.2312 |
0.496 |
|
2007 |
Son SW, Malkowski K, Chen G, Kandemir M, Raghavan P. Reducing energy consumption of parallel sparse matrix applications through integrated link/CPU voltage scaling Journal of Supercomputing. 41: 179-213. DOI: 10.1007/S11227-007-0113-9 |
0.337 |
|
2005 |
Lee I, Raghavan P, Ng EG. Effective Preconditioning through Ordering Interleaved with Incomplete Factorization Siam Journal On Matrix Analysis and Applications. 27: 1069-1088. DOI: 10.1137/040618357 |
0.569 |
|
2005 |
Liu ZK, Chen LQ, Raghavan P, Du Q, Sofo JO, Langer SA, Wolverton C. An integrated framework for multi-scale materials simulation and design Journal of Computer-Aided Materials Design. 11: 183-199. DOI: 10.1007/S10820-005-3173-2 |
0.346 |
|
2005 |
Sun J, Michaleris P, Gupta A, Raghavan P. A fast implementation of the FETI-DP method: FETI-DP-RBS-LNA and applications on large scale problems with localized non-linearities International Journal For Numerical Methods in Engineering. 63: 833-858. DOI: 10.1002/Nme.1301 |
0.371 |
|
2004 |
Bhowmick S, Raghavan P, McInnes L, Norris B. Faster PDE-based simulations using robust composite linear solvers Future Generation Computer Systems. 20: 373-387. DOI: 10.1016/J.Future.2003.07.012 |
0.538 |
|
2003 |
Raghavan P, Teranishi K, Ng EG. A latency tolerant hybrid sparse solver using incomplete Cholesky factorization Numerical Linear Algebra With Applications. 10: 541-560. DOI: 10.1002/Nla.327 |
0.411 |
|
2002 |
Yang C, Raghavan P, Arrowood L, Noid DW, Sumpter BG, Tuzun RE. Large-Scale Normal Coordinate Analysis on Distributed Memory Parallel Systems International Journal of High Performance Computing Applications. 16: 409-424. DOI: 10.1177/109434200201600404 |
0.374 |
|
2000 |
Ng EG, Raghavan P. Towards a scalable hybrid sparse solver Concurrency Practice and Experience. 12: 53-68. DOI: 10.1002/(Sici)1096-9128(200002/03)12:2/3<53::Aid-Cpe473>3.0.Co;2-B |
0.416 |
|
1999 |
Ng EG, Raghavan P. Performance of greedy ordering heuristics for sparse Cholesky factorization Siam Journal On Matrix Analysis and Applications. 20: 902-914. DOI: 10.1137/S0895479897319313 |
0.351 |
|
1998 |
Raghavan P. Efficient parallel sparse triangular solution using selective inversion Parallel Processing Letters. 8: 29-40. DOI: 10.1142/S0129626498000067 |
0.418 |
|
1997 |
Heath MT, Raghavan P. Performance of a fully parallel sparse solver International Journal of High Performance Computing Applications. 11: 49-64. |
0.331 |
|
1995 |
Raghavan P. Distributed sparse Gaussian elimination and orthogonal factorization Siam Journal On Scientific Computing. 16: 1462-1477. DOI: 10.1137/0916085 |
0.406 |
|
1992 |
Heath MT, Raghavan P. A Cartesian parallel nested dissection algorithm Siam Journal On Matrix Analysis and Applications. 16: 235-253. DOI: 10.1137/S0895479892238270 |
0.397 |
|
1989 |
Pothen A, Raghavan P. Distributed orthogonal factorization: givens and householder algorithms Siam Journal On Scientific and Statistical Computing. 10: 1113-1134. DOI: 10.1137/0910067 |
0.322 |
|
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