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ORCIDPadma Raghavan
Person information
- affiliation: Vanderbilt University, Nashville, TN, USA
- affiliation: Pennsylvania State University, University Park, USA
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2020 – today
- 2024
[j28]Lucas Perotin, Sandhya Kandaswamy, Hongyang Sun
, Padma Raghavan:
Multi-resource scheduling of moldable workflows. J. Parallel Distributed Comput. 184: 104792 (2024)- 2023
- [c71]Zizhao Chen, Thomas Verrecchia, Hongyang Sun, Joshua Dennis Booth, Padma Raghavan:
Dynamic Selective Protection of Sparse Iterative Solvers via ML Prediction of Soft Error Impacts. SC Workshops 2023: 488-491 - 2022
- [j27]Anne Benoit, Valentin Le Fèvre, Lucas Perotin, Padma Raghavan, Yves Robert, Hongyang Sun:
Resilient Scheduling of Moldable Parallel Jobs to Cope With Silent Errors. IEEE Trans. Computers 71(7): 1696-1710 (2022) - 2021
- [j26]Anne Benoit, Valentin Le Fèvre, Padma Raghavan, Yves Robert, Hongyang Sun:
Resilient Scheduling Heuristics for Rigid Parallel Jobs. Int. J. Netw. Comput. 11(1): 2-26 (2021) - [c70]Lucas Perotin, Hongyang Sun, Padma Raghavan:
Multi-Resource List Scheduling of Moldable Parallel Jobs under Precedence Constraints. ICPP 2021: 23:1-23:10 - [i4]Lucas Perotin, Hongyang Sun, Padma Raghavan:
Multi-Resource List Scheduling of Moldable Parallel Jobs under Precedence Constraints. CoRR abs/2106.07059 (2021) - 2020
- [c69]Anne Benoit, Valentin Le Fèvre, Lucas Perotin, Padma Raghavan, Yves Robert, Hongyang Sun:
Resilient Scheduling of Moldable Jobs on Failure-Prone Platforms. CLUSTER 2020: 81-91 - [c68]Anne Benoit, Valentin Le Fèvre, Padma Raghavan, Yves Robert, Hongyang Sun:
Design and Comparison of Resilient Scheduling Heuristics for Parallel Jobs. IPDPS Workshops 2020: 567-576 - [c67]Ana Gainaru, Brice Goglin, Valentin Honoré, Guillaume Pallez Aupy, Padma Raghavan, Yves Robert, Hongyang Sun:
Reservation and Checkpointing Strategies for Stochastic Jobs. IPDPS 2020: 853-863 - [c66]Hongyang Sun, Ana Gainaru, Manu Shantharam, Padma Raghavan:
Selective Protection for Sparse Iterative Solvers to Reduce the Resilience Overhead. SBAC-PAD 2020: 141-148
2010 – 2019
- 2019
- [j25]Ana Gainaru, Hongyang Sun, Guillaume Aupy, Yuankai Huo, Bennett A. Landman, Padma Raghavan:
On-the-fly scheduling versus reservation-based scheduling for unpredictable workflows. Int. J. High Perform. Comput. Appl. 33(6) (2019) - [j24]Tien-Dat Phan, Guillaume Pallez, Shadi Ibrahim, Padma Raghavan:
A New Framework for Evaluating Straggler Detection Mechanisms in MapReduce. ACM Trans. Model. Perform. Evaluation Comput. Syst. 4(3): 14:1-14:23 (2019) - [c65]Ana Gainaru, Guillaume Pallez, Hongyang Sun, Padma Raghavan:
Speculative Scheduling for Stochastic HPC Applications. ICPP 2019: 32:1-32:10 - [c64]Guillaume Aupy, Ana Gainaru, Valentin Honoré, Padma Raghavan, Yves Robert, Hongyang Sun:
Reservation Strategies for Stochastic Jobs. IPDPS 2019: 166-175 - 2018
- [j23]Francine Berman, Rob A. Rutenbar, Brent Hailpern, Henrik I. Christensen, Susan B. Davidson, Deborah Estrin, Michael J. Franklin, Margaret Martonosi, Padma Raghavan, Victoria Stodden, Alexander S. Szalay:
Realizing the potential of data science. Commun. ACM 61(4): 67-72 (2018) - [j22]Guillaume Aupy, Anne Benoit, Sicheng Dai, Loïc Pottier, Padma Raghavan, Yves Robert, Manu Shantharam:
Co-scheduling Amdahl applications on cache-partitioned systems. Int. J. High Perform. Comput. Appl. 32(1): 123-138 (2018) - [j21]Anne Benoit, Aurélien Cavelan, Franck Cappello, Padma Raghavan, Yves Robert, Hongyang Sun:
Coping with silent and fail-stop errors at scale by combining replication and checkpointing. J. Parallel Distributed Comput. 122: 209-225 (2018) - [c63]Hongyang Sun, Redouane Elghazi, Ana Gainaru, Guillaume Aupy, Padma Raghavan:
Scheduling Parallel Tasks under Multiple Resources: List Scheduling vs. Pack Scheduling. IPDPS 2018: 194-203 - [c62]Shad Kirmani, Hongyang Sun, Padma Raghavan:
A Scalability and Sensitivity Study of Parallel Geometric Algorithms for Graph Partitioning. SBAC-PAD 2018: 420-427 - 2017
- [j20]Shad Kirmani, JeongHyung Park, Padma Raghavan:
An embedded sectioning scheme for multiprocessor topology-aware mapping of irregular applications. Int. J. High Perform. Comput. Appl. 31(1): 91-103 (2017) - [c61]Anne Benoit, Aurélien Cavelan, Franck Cappello, Padma Raghavan, Yves Robert, Hongyang Sun:
Identifying the Right Replication Level to Detect and Correct Silent Errors at Scale. FTXS@HPDC 2017: 31-38 - [c60]Guillaume Aupy, Anne Benoit, Loïc Pottier, Padma Raghavan, Yves Robert, Manu Shantharam:
Co-Scheduling Algorithms for Cache-Partitioned Systems. IPDPS Workshops 2017: 874-883 - [e2]Bernd Mohr, Padma Raghavan:
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2017, Denver, CO, USA, November 12 - 17, 2017. ACM 2017, ISBN 978-1-4503-5114-0 [contents] - 2016
- [j19]Guillaume Aupy, Manu Shantharam, Anne Benoit, Yves Robert, Padma Raghavan:
Co-scheduling algorithms for high-throughput workload execution. J. Sched. 19(6): 627-640 (2016) - [c59]Guillaume Aupy, JeongHyung Park, Padma Raghavan:
Locality-Aware Laplacian Mesh Smoothing. ICPP 2016: 588-597 - [i3]Guillaume Aupy, JeongHyung Park, Padma Raghavan:
Locality-Aware Laplacian Mesh Smoothing. CoRR abs/1606.00803 (2016) - [i2]Ulrich Rüde, Karen Willcox, Lois Curfman McInnes, Hans De Sterck, George Biros, Hans-Joachim Bungartz, James Corones, Evin Cramer, James Crowley, Omar Ghattas, Max D. Gunzburger, Michael Hanke, Robert J. Harrison, Michael A. Heroux, Jan S. Hesthaven, Peter K. Jimack, Chris Johnson, Kirk E. Jordan, David E. Keyes, Rolf H. Krause, Vipin Kumar, Stefan Mayer, Juan Meza, Knut Martin Mørken, J. Tinsley Oden, Linda R. Petzold, Padma Raghavan, Suzanne M. Shontz, Anne E. Trefethen, Peter R. Turner, Vladimir V. Voevodin, Barbara I. Wohlmuth, Carol S. Woodward:
Research and Education in Computational Science and Engineering. CoRR abs/1610.02608 (2016) - 2015
- [c58]Joshua Dennis Booth, Jagadish Kotra, Hui Zhao, Mahmut T. Kandemir, Padma Raghavan:
Phase Detection with Hidden Markov Models for DVFS on Many-Core Processors. ICDCS 2015: 185-195 - [c57]Humayun Kabir, Joshua Dennis Booth, Guillaume Aupy, Anne Benoit, Yves Robert, Padma Raghavan:
STS-k: a multilevel sparse triangular solution scheme for NUMA multicores. SC 2015: 55:1-55:11 - 2014
- [c56]Humayun Kabir, Joshua Dennis Booth, Padma Raghavan:
A multilevel compressed sparse row format for efficient sparse computations on multicore processors. HiPC 2014: 1-10 - [c55]Joshua Dennis Booth, Padma Raghavan:
Hybrid Sparse Linear Solutions with Substituted Factorization. VECPAR 2014: 145-155 - 2013
- [j18]Manu Shantharam, Youngtae Youn, Padma Raghavan:
Speedup-Aware Co-Schedules for Efficient Workload Management. Parallel Process. Lett. 23(2) (2013) - [j17]Jeffrey S. Vetter, Padma Raghavan:
Special Issue: Selected Papers from Super Computing 2012. Sci. Program. 21(3-4): 63-64 (2013) - [c54]Ramya Prabhakar, Mahmut T. Kandemir, Padma Raghavan, Myoungsoo Jung:
Interference Resolver in Shared Storage Systems to Provide Fairness to I/O Intensive Applications. IPDPS Workshops 2013: 1971-1980 - [c53]Shad Kirmani, Padma Raghavan:
Scalable parallel graph partitioning. SC 2013: 51:1-51:10 - [i1]Guillaume Aupy, Manu Shantharam, Anne Benoit, Yves Robert, Padma Raghavan:
Co-Scheduling Algorithms for High-Throughput Workload Execution. CoRR abs/1304.7793 (2013) - 2012
- [c52]Michael R. Frasca, Padma Raghavan:
Phase Partitioning Methods for I/O Cache Optimization. ICPP 2012: 360-368 - [c51]Brad Suchoski, Caleb Severn, Manu Shantharam, Padma Raghavan:
Adapting Sparse Triangular Solution to GPUs. ICPP Workshops 2012: 140-148 - [c50]Manu Shantharam, Sowmyalatha Srinivasmurthy, Padma Raghavan:
Fault tolerant preconditioned conjugate gradient for sparse linear system solution. ICS 2012: 69-78 - [c49]Michael R. Frasca, Kamesh Madduri, Padma Raghavan:
NUMA-aware graph mining techniques for performance and energy efficiency. SC 2012: 95 - [c48]Anirban Chatterjee, Padma Raghavan:
Similarity Graph Neighborhoods for Enhanced Supervised Classification. ICCS 2012: 577-586 - 2011
- [j16]Manu Shantharam, Anirban Chatterjee, Padma Raghavan:
Exploiting dense substructures for fast sparse matrix vector multiplication. Int. J. High Perform. Comput. Appl. 25(3): 328-341 (2011) - [c47]Manu Shantharam, Sowmyalatha Srinivasmurthy, Padma Raghavan:
Characterizing the impact of soft errors on iterative methods in scientific computing. ICS 2011: 152-161 - [c46]Michael R. Frasca, Ramya Prabhakar, Padma Raghavan, Mahmut T. Kandemir:
Virtual I/O caching: dynamic storage cache management for concurrent workloads. SC 2011: 38:1-38:11 - [c45]Michael R. Frasca, Anirban Chatterjee, Padma Raghavan:
Can models of scientific software-hardware interactions be predictive? ICCS 2011: 322-331 - [c44]Joshua Dennis Booth, Anirban Chatterjee, Padma Raghavan, Michael R. Frasca:
A Multilevel Cholesky Conjugate Gradients Hybrid Solver for Linear Systems with Multiple Right-hand Sides. ICCS 2011: 2307-2316 - 2010
- [j15]Padma Raghavan, Keita Teranishi:
Parallel Hybrid Preconditioning: Incomplete Factorization with Selective Sparse Approximate Inversion. SIAM J. Sci. Comput. 32(3): 1323-1345 (2010) - [c43]Anirban Chatterjee, Sanjukta Bhowmick, Padma Raghavan:
Feature subspace transformations for enhancing k-means clustering. CIKM 2010: 1801-1804 - [c42]Yang Ding, Mahmut T. Kandemir, Mary Jane Irwin, Padma Raghavan:
Dynamic core partitioning for energy efficiency. IPDPS Workshops 2010: 1-8 - [c41]Konrad Malkowski, Padma Raghavan, Mahmut T. Kandemir:
Analyzing the soft error resilience of linear solvers on multicore multiprocessors. IPDPS 2010: 1-12 - [c40]Konrad Malkowski, Padma Raghavan, Mahmut T. Kandemir, Mary Jane Irwin:
T-NUCA - a novel approach to non-uniform access latency cache architectures for 3D CMPs. IPDPS Workshops 2010: 1-8 - [c39]Sai Prashanth Muralidhara, Mahmut T. Kandemir, Padma Raghavan:
Intra-application cache partitioning. IPDPS 2010: 1-12 - [c38]Sai Prashanth Muralidhara, Mahmut T. Kandemir, Padma Raghavan:
Intra-application shared cache partitioning for multithreaded applications. PPoPP 2010: 329-330 - [c37]Anirban Chatterjee, Kelly Fermoyle, Padma Raghavan:
Characterizing sparse preconditioner performance for the support vector machine kernel. ICCS 2010: 367-375 - [c36]Andrew Shaffer, Bruce Einfalt, Padma Raghavan:
PFFTC: An improved fast Fourier transform for the IBM cell broadband engine. ICCS 2010: 1045-1054
2000 – 2009
- 2009
- [j14]Yang Ding, Mahmut T. Kandemir, Padma Raghavan, Mary Jane Irwin:
Adapting application execution in CMPs using helper threads. J. Parallel Distributed Comput. 69(9): 790-806 (2009) - [c35]Rajat Garg, Seung Woo Son, Mahmut T. Kandemir, Padma Raghavan, Ramya Prabhakar:
Markov Model Based Disk Power Management for Data Intensive Workloads. CCGRID 2009: 76-83 - [c34]Manu Shantharam, Padma Raghavan, Mahmut T. Kandemir:
Hybrid Techniques for Fast Multicore Simulation. Euro-Par 2009: 122-134 - [c33]Yang Ding, Mahmut T. Kandemir, Mary Jane Irwin, Padma Raghavan:
Adapting Application Mapping to Systematic Within-Die Process Variations on Chip Multiprocessors. HiPEAC 2009: 231-247 - [c32]Sanjukta Bhowmick, Brice Toth, Padma Raghavan:
Towards Low-Cost, High-Accuracy Classifiers for Linear Solver Selection. ICCS (1) 2009: 463-472 - 2008
- [c31]Sayaka Akioka, Feihui Li, Konrad Malkowski, Padma Raghavan, Mahmut T. Kandemir, Mary Jane Irwin:
Ring data location prediction scheme for Non-Uniform Cache Architectures. ICCD 2008: 693-698 - [c30]Yang Ding, Mahmut T. Kandemir, Padma Raghavan, Mary Jane Irwin:
A helper thread based EDP reduction scheme for adapting application execution in CMPs. IPDPS 2008: 1-14 - [c29]Yang Ding, Konrad Malkowski, Padma Raghavan, Mahmut T. Kandemir:
Towards energy efficient scaling of scientific codes. IPDPS 2008: 1-8 - [c28]Padma Raghavan, Mahmut T. Kandemir, Mary Jane Irwin, Konrad Malkowski:
Managing power, performance and reliability trade-offs. IPDPS 2008: 1-5 - [c27]Aditya Yanamandra, Bryan Cover, Padma Raghavan, Mary Jane Irwin, Mahmut T. Kandemir:
Evaluating the role of scratchpad memories in chip multiprocessors for sparse matrix computations. IPDPS 2008: 1-10 - 2007
- [j13]Seung Woo Son, Konrad Malkowski, Guilin Chen, Mahmut T. Kandemir, Padma Raghavan:
Reducing energy consumption of parallel sparse matrix applications through integrated link/CPU voltage scaling. J. Supercomput. 41(3): 179-213 (2007) - [c26]Sayaka Akioka, Feihui Li, Mahmut T. Kandemir, Padma Raghavan, Mary Jane Irwin:
Ring Prediction for Non-Uniform Cache Architectures. PACT 2007: 401 - [c25]S. Conner, Sayaka Akioka, Mary Jane Irwin, Padma Raghavan:
Link Shutdown Opportunities During Collective Communications in 3-D Torus Nets. IPDPS 2007: 1-8 - [c24]Konrad Malkowski, Greg M. Link, Padma Raghavan, Mary Jane Irwin:
Load Miss Prediction - Exploiting Power Performance Trade-offs. IPDPS 2007: 1-8 - [c23]Konrad Malkowski, Padma Raghavan, Mary Jane Irwin:
Memory Optimizations For Fast Power-Aware Sparse Computations. IPDPS 2007: 1-6 - [c22]Anusha Sriraman, Kevin R. B. Butler, Patrick D. McDaniel, Padma Raghavan:
Analysis of the IPv4 Address Space Delegation Structure. ISCC 2007: 501-508 - [c21]Konrad Malkowski, Padma Raghavan, Mahmut T. Kandemir, Mary Jane Irwin:
Phase-aware adaptive hardware selection for power-efficient scientific computations. ISLPED 2007: 403-406 - 2006
- [j12]Ingyu Lee, Padma Raghavan, Esmond G. Ng:
Effective Preconditioning through Ordering Interleaved with Incomplete Factorization. SIAM J. Matrix Anal. Appl. 27(4): 1069-1088 (2006) - [c20]Sayaka Akioka, Konrad Malkowski, Padma Raghavan, Mary Jane Irwin, Lois C. McInnes, Boyana Norris:
Characterizing the Performance and Energy Attributes of Scientific Simulations. International Conference on Computational Science (1) 2006: 242-249 - [c19]Konrad Malkowski, Ingyu Lee, Padma Raghavan, Mary Jane Irwin:
On improving performance and energy profiles of sparse scientific applications. IPDPS 2006 - [c18]Konrad Malkowski, Ingyu Lee, Padma Raghavan, Mary Jane Irwin:
Conjugate gradient sparse solvers: performance-power characteristics. IPDPS 2006 - [c17]Seung Woo Son, Konrad Malkowski, Guilin Chen, Mahmut T. Kandemir, Padma Raghavan:
Integrated link/CPU voltage scaling for reducing energy consumption of parallel sparse matrix applications. IPDPS 2006 - [c16]S. Conner, Greg M. Link, S. Tobita, Mary Jane Irwin, Padma Raghavan:
Poster reception - Energy/performance modeling for collective communication in 3-D torus cluster networks. SC 2006: 138 - [c15]Konrad Malkowski, Padma Raghavan, Mary Jane Irwin:
Poster reception - Toward a power efficient computer architecture for Barnes-Hut N-body simulations. SC 2006: 146 - [p2]Michael A. Heroux, Padma Raghavan, Horst D. Simon:
Frontiers of Scientific Computing: An Overview. Parallel Processing for Scientific Computing 2006: 1-5 - [p1]Michael A. Heroux, Padma Raghavan, Horst D. Simon:
Opportunities and Challenges for Parallel Computing in Science and Engineering. Parallel Processing for Scientific Computing 2006: 379-390 - [e1]Michael A. Heroux, Padma Raghavan, Horst D. Simon:
Parallel Processing for Scientific Computing. Software, Environments, Tools 20, SIAM 2006, ISBN 978-0-89871-619-1 [contents] - 2005
- [c14]Konrad Malkowski, Padma Raghavan:
Multi-pass Mapping Schemes for Parallel Sparse Matrix Computations. International Conference on Computational Science (1) 2005: 245-255 - [c13]Guangyu Chen, Konrad Malkowski, Mahmut T. Kandemir, Padma Raghavan:
Reducing Power with Performance Constraints for Parallel Sparse Applications. IPDPS 2005 - [c12]Padma Raghavan, Mary Jane Irwin, Lois C. McInnes, Boyana Norris:
Adaptive Software for Scientific Computing: Co-Managing Quality-Performance-Power Tradeoffs. IPDPS 2005 - 2004
- [j11]Sanjukta Bhowmick, Padma Raghavan, Lois C. McInnes, Boyana Norris:
Faster PDE-based simulations using robust composite linear solvers. Future Gener. Comput. Syst. 20(3): 373-387 (2004) - [c11]Keita Teranishi, Padma Raghavan, Zi-Kui Liu:
Towards a Grid enabled system for multicomponent materials design. CCGRID 2004: 664-669 - [c10]Padma Raghavan:
Advanced Algorithms and Software Components for Scientific Computing: An Introduction. PARA 2004: 590-592 - [c9]Keita Teranishi, Padma Raghavan:
Parallel Hybrid Sparse Solvers Through Flexible Incomplete Cholesky Preconditioning. PARA 2004: 637-643 - 2003
- [j10]Padma Raghavan, Keita Teranishi, Esmond G. Ng:
A latency tolerant hybrid sparse solver using incomplete Cholesky factorization. Numer. Linear Algebra Appl. 10(5-6): 541-560 (2003) - [c8]Sanjukta Bhowmick, Lois C. McInnes, Boyana Norris, Padma Raghavan:
The Role of Multi-method Linear Solvers in PDE-based Simulations. ICCSA (1) 2003: 828-839 - [c7]Keita Teranishi, Padma Raghavan, Chao Yang:
Time-Memory Trade-Offs Using Sparse Matrix Methods for Large-Scale Eigenvalue Problems. ICCSA (1) 2003: 840-847 - 2002
- [j9]Chao Yang, Padma Raghavan, Lloyd F. Arrowood, Donald W. Noid, Bobby G. Sumpter, Robert E. Tuzun:
Large-Scale Normal Coordinate Analysis on Distributed Memory Parallel Systems. Int. J. High Perform. Comput. Appl. 16(4): 409-424 (2002) - [c6]Sanjukta Bhowmick, Padma Raghavan, Keita Teranishi:
A Combinatorial Scheme for Developing Efficient Composite Solvers. International Conference on Computational Science (2) 2002: 325-334 - [c5]Keita Teranishi, Padma Raghavan, Esmond G. Ng:
A new data-mapping scheme for latency-tolerant distributed sparse triangular solution. SC 2002: 50:1-50:11 - 2001
- [j8]Xiaoyan Zhang, Michael W. Berry, Padma Raghavan:
Level search schemes for information filtering and retrieval. Inf. Process. Manag. 37(2): 313-334 (2001) - [c4]Keita Teranishi, Padma Raghavan, Esmond G. Ng:
Scalable Preconditioning Using Incomplete Factors. PP 2001 - 2000
- [j7]Esmond G. Ng, Padma Raghavan:
Towards a Scalable Hybrid Sparse Solver. Concurr. Pract. Exp. 12(2-3): 53-68 (2000) - [c3]Jack J. Dongarra, Padma Raghavan:
A Grid Computing Environment for Enabling Large Scale Quantum Mechanical Simulations. GRID 2000: 102-110
1990 – 1999
- 1999
- [j6]Esmond G. Ng, Padma Raghavan:
Performance of Greedy Ordering Heuristics for Sparse Cholesky Factorization. SIAM J. Matrix Anal. Appl. 20(4): 902-914 (1999) - [c2]Esmond G. Ng, Padma Raghavan:
Incomplete Cholesky Parallel Preconditioners with Selective Inversion. PP 1999 - 1998
- [j5]Padma Raghavan:
Efficient Parallel Sparse Triangular Solution Using Selective Inversion. Parallel Process. Lett. 8(1): 29-40 (1998) - 1997
- [j4]Michael T. Heath, Padma Raghavan:
Performance of a Fully Parallel Sparse Solver. Int. J. High Perform. Comput. Appl. 11(1): 49-64 (1997) - [j3]Padma Raghavan:
Parallel Ordering Using Edge Contraction. Parallel Comput. 23(8): 1045-1067 (1997) - 1995
- [j2]Michael T. Heath, Padma Raghavan:
A Cartesian Parallel Nested Dissection Algorithm. SIAM J. Matrix Anal. Appl. 16(1): 235-253 (1995) - [j1]Padma Raghavan:
Distributed Sparse Gaussian Elimination and Orthogonal Factorization. SIAM J. Sci. Comput. 16(6): 1462-1477 (1995)
1980 – 1989
- 1988
- [c1]Alex Pothen, Padma Raghavan:
Distributed orthogonal factorization. C³P 1988: 1610-1620
Coauthor Index