Padma Raghavan

109 papers A 30B 9C 6Misc 9Journal 32Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	A New Algorithm for Online Scheduling of Rigid Task Graphs with Near-Optimal Competitive Ratio. SPAA Lucas Perotin, Hongyang Sun, Padma Raghavan
2024	J	`jnl`	Multi-resource scheduling of moldable workflows. J. Parallel Distributed Comput. Lucas Perotin, Sandhya Kandaswamy, Hongyang Sun, Padma Raghavan
2024	C	`conf`	To Protect or Not To Protect: Probability-Aware Selective Protection for Sparse Iterative Solvers. SBAC-PAD Daniel Ryley Johnson, Hongyang Sun, Joshua Dennis Booth, Padma Raghavan
2023	—	`conf`	Dynamic Selective Protection of Sparse Iterative Solvers via ML Prediction of Soft Error Impacts. SC Workshops Zizhao Chen, Thomas Verrecchia, Hongyang Sun, Joshua Dennis Booth, Padma Raghavan
2022	J	`jnl`	Resilient Scheduling of Moldable Parallel Jobs to Cope With Silent Errors. IEEE Trans. Computers Anne Benoit, Valentin Le Fèvre, Lucas Perotin, Padma Raghavan, Yves Robert, Hongyang Sun
2021	B	`conf`	Multi-Resource List Scheduling of Moldable Parallel Jobs under Precedence Constraints. ICPP Lucas Perotin, Hongyang Sun, Padma Raghavan
2021	J	`jnl`	Multi-Resource List Scheduling of Moldable Parallel Jobs under Precedence Constraints. CoRR Lucas Perotin, Hongyang Sun, Padma Raghavan
2021	J	`jnl`	Resilient Scheduling Heuristics for Rigid Parallel Jobs. Int. J. Netw. Comput. Anne Benoit, Valentin Le Fèvre, Padma Raghavan, Yves Robert, Hongyang Sun
2020	—	`conf`	Design and Comparison of Resilient Scheduling Heuristics for Parallel Jobs. IPDPS Workshops Anne Benoit, Valentin Le Fèvre, Padma Raghavan, Yves Robert, Hongyang Sun
2020	A	`conf`	Reservation and Checkpointing Strategies for Stochastic Jobs. IPDPS Ana Gainaru, Brice Goglin, Valentin Honoré, Guillaume Pallez Aupy, Padma Raghavan, Yves Robert, Hongyang Sun
2020	C	`conf`	Resilient Scheduling of Moldable Jobs on Failure-Prone Platforms. CLUSTER Anne Benoit, Valentin Le Fèvre, Lucas Perotin, Padma Raghavan, Yves Robert, Hongyang Sun
2020	C	`conf`	Selective Protection for Sparse Iterative Solvers to Reduce the Resilience Overhead. SBAC-PAD Hongyang Sun, Ana Gainaru, Manu Shantharam, Padma Raghavan
2019	J	`jnl`	A New Framework for Evaluating Straggler Detection Mechanisms in MapReduce. ACM Trans. Model. Perform. Evaluation Comput. Syst. Tien-Dat Phan, Guillaume Pallez, Shadi Ibrahim, Padma Raghavan
2019	J	`jnl`	On-the-fly scheduling versus reservation-based scheduling for unpredictable workflows. Int. J. High Perform. Comput. Appl. Ana Gainaru, Hongyang Sun, Guillaume Aupy, Yuankai Huo, Bennett A. Landman, Padma Raghavan
2019	A	`conf`	Reservation Strategies for Stochastic Jobs. IPDPS Guillaume Aupy, Ana Gainaru, Valentin Honoré, Padma Raghavan, Yves Robert, Hongyang Sun
2019	B	`conf`	Speculative Scheduling for Stochastic HPC Applications. ICPP Ana Gainaru, Guillaume Pallez, Hongyang Sun, Padma Raghavan
2018	C	`conf`	A Scalability and Sensitivity Study of Parallel Geometric Algorithms for Graph Partitioning. SBAC-PAD Shad Kirmani, Hongyang Sun, Padma Raghavan
2018	J	`jnl`	Co-scheduling Amdahl applications on cache-partitioned systems. Int. J. High Perform. Comput. Appl. Guillaume Aupy, Anne Benoit, Sicheng Dai, Loïc Pottier, Padma Raghavan, Yves Robert, Manu Shantharam
2018	J	`jnl`	Coping with silent and fail-stop errors at scale by combining replication and checkpointing. J. Parallel Distributed Comput. Anne Benoit, Aurélien Cavelan, Franck Cappello, Padma Raghavan, Yves Robert, Hongyang Sun
2018	J	`jnl`	Realizing the potential of data science. Commun. ACM 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
2018	A	`conf`	Scheduling Parallel Tasks under Multiple Resources: List Scheduling vs. Pack Scheduling. IPDPS Hongyang Sun, Redouane Elghazi, Ana Gainaru, Guillaume Aupy, Padma Raghavan
2017	J	`jnl`	An embedded sectioning scheme for multiprocessor topology-aware mapping of irregular applications. Int. J. High Perform. Comput. Appl. Shad Kirmani, JeongHyung Park, Padma Raghavan
2017	—	`conf`	Co-Scheduling Algorithms for Cache-Partitioned Systems. IPDPS Workshops Guillaume Aupy, Anne Benoit, Loïc Pottier, Padma Raghavan, Yves Robert, Manu Shantharam
2017	—	`conf`	Identifying the Right Replication Level to Detect and Correct Silent Errors at Scale. FTXS@HPDC Anne Benoit, Aurélien Cavelan, Franck Cappello, Padma Raghavan, Yves Robert, Hongyang Sun
2017	A	`ed.`	Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2017, Denver, CO, USA, November 12 - 17, 2017 SC Bernd Mohr, Padma Raghavan
2016	J	`jnl`	Co-scheduling algorithms for high-throughput workload execution. J. Sched. Guillaume Aupy, Manu Shantharam, Anne Benoit, Yves Robert, Padma Raghavan
2016	B	`conf`	Locality-Aware Laplacian Mesh Smoothing. ICPP Guillaume Aupy, JeongHyung Park, Padma Raghavan
2016	J	`jnl`	Locality-Aware Laplacian Mesh Smoothing. CoRR Guillaume Aupy, JeongHyung Park, Padma Raghavan
2016	J	`jnl`	Research and Education in Computational Science and Engineering. CoRR 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
2015	A	`conf`	Phase Detection with Hidden Markov Models for DVFS on Many-Core Processors. ICDCS Joshua Dennis Booth, Jagadish Kotra, Hui Zhao, Mahmut T. Kandemir, Padma Raghavan
2015	A	`conf`	STS-k: a multilevel sparse triangular solution scheme for NUMA multicores. SC Humayun Kabir, Joshua Dennis Booth, Guillaume Aupy, Anne Benoit, Yves Robert, Padma Raghavan
2014	Misc	`conf`	A multilevel compressed sparse row format for efficient sparse computations on multicore processors. HiPC Humayun Kabir, Joshua Dennis Booth, Padma Raghavan
2014	—	`conf`	Hybrid Sparse Linear Solutions with Substituted Factorization. VECPAR Joshua Dennis Booth, Padma Raghavan
2013	J	`jnl`	Co-Scheduling Algorithms for High-Throughput Workload Execution CoRR Guillaume Aupy, Manu Shantharam, Anne Benoit, Yves Robert, Padma Raghavan
2013	—	`conf`	Interference Resolver in Shared Storage Systems to Provide Fairness to I/O Intensive Applications. IPDPS Workshops Ramya Prabhakar, Mahmut T. Kandemir, Padma Raghavan, Myoungsoo Jung
2013	A	`conf`	Scalable parallel graph partitioning. SC Shad Kirmani, Padma Raghavan
2013	J	`jnl`	Special Issue: Selected Papers from Super Computing 2012. Sci. Program. Jeffrey S. Vetter, Padma Raghavan
2013	J	`jnl`	Speedup-Aware Co-Schedules for Efficient Workload Management. Parallel Process. Lett. Manu Shantharam, Youngtae Youn, Padma Raghavan
2012	—	`conf`	Adapting Sparse Triangular Solution to GPUs. ICPP Workshops Brad Suchoski, Caleb Severn, Manu Shantharam, Padma Raghavan
2012	A	`conf`	Fault tolerant preconditioned conjugate gradient for sparse linear system solution. ICS Manu Shantharam, Sowmyalatha Srinivasmurthy, Padma Raghavan
2012	A	`conf`	NUMA-aware graph mining techniques for performance and energy efficiency. SC Michael R. Frasca, Kamesh Madduri, Padma Raghavan
2012	B	`conf`	Phase Partitioning Methods for I/O Cache Optimization. ICPP Michael R. Frasca, Padma Raghavan
2012	Misc	`conf`	Similarity Graph Neighborhoods for Enhanced Supervised Classification. ICCS Anirban Chatterjee, Padma Raghavan
2011	Misc	`conf`	A Multilevel Cholesky Conjugate Gradients Hybrid Solver for Linear Systems with Multiple Right-hand Sides. ICCS Joshua Dennis Booth, Anirban Chatterjee, Padma Raghavan, Michael R. Frasca
2011	Misc	`conf`	Can models of scientific software-hardware interactions be predictive? ICCS Michael R. Frasca, Anirban Chatterjee, Padma Raghavan
2011	A	`conf`	Characterizing the impact of soft errors on iterative methods in scientific computing. ICS Manu Shantharam, Sowmyalatha Srinivasmurthy, Padma Raghavan
2011	J	`jnl`	Exploiting dense substructures for fast sparse matrix vector multiplication. Int. J. High Perform. Comput. Appl. Manu Shantharam, Anirban Chatterjee, Padma Raghavan
2011	A	`conf`	Virtual I/O caching: dynamic storage cache management for concurrent workloads. SC Michael R. Frasca, Ramya Prabhakar, Padma Raghavan, Mahmut T. Kandemir
2010	A	`conf`	Analyzing the soft error resilience of linear solvers on multicore multiprocessors. IPDPS Konrad Malkowski, Padma Raghavan, Mahmut T. Kandemir
2010	Misc	`conf`	Characterizing sparse preconditioner performance for the support vector machine kernel. ICCS Anirban Chatterjee, Kelly Fermoyle, Padma Raghavan
2010	—	`conf`	Dynamic core partitioning for energy efficiency. IPDPS Workshops Yang Ding, Mahmut T. Kandemir, Mary Jane Irwin, Padma Raghavan
2010	A	`conf`	Feature subspace transformations for enhancing k-means clustering. CIKM Anirban Chatterjee, Sanjukta Bhowmick, Padma Raghavan
2010	A	`conf`	Intra-application cache partitioning. IPDPS Sai Prashanth Muralidhara, Mahmut T. Kandemir, Padma Raghavan
2010	B	`conf`	Intra-application shared cache partitioning for multithreaded applications. PPoPP Sai Prashanth Muralidhara, Mahmut T. Kandemir, Padma Raghavan
2010	Misc	`conf`	PFFTC: An improved fast Fourier transform for the IBM cell broadband engine. ICCS Andrew Shaffer, Bruce Einfalt, Padma Raghavan
2010	J	`jnl`	Parallel Hybrid Preconditioning: Incomplete Factorization with Selective Sparse Approximate Inversion. SIAM J. Sci. Comput. Padma Raghavan, Keita Teranishi
2010	—	`conf`	T-NUCA - a novel approach to non-uniform access latency cache architectures for 3D CMPs. IPDPS Workshops Konrad Malkowski, Padma Raghavan, Mahmut T. Kandemir, Mary Jane Irwin
2009	—	`conf`	Adapting Application Mapping to Systematic Within-Die Process Variations on Chip Multiprocessors. HiPEAC Yang Ding, Mahmut T. Kandemir, Mary Jane Irwin, Padma Raghavan
2009	J	`jnl`	Adapting application execution in CMPs using helper threads. J. Parallel Distributed Comput. Yang Ding, Mahmut T. Kandemir, Padma Raghavan, Mary Jane Irwin
2009	—	`conf`	Hybrid Techniques for Fast Multicore Simulation. Euro-Par Manu Shantharam, Padma Raghavan, Mahmut T. Kandemir
2009	B	`conf`	Markov Model Based Disk Power Management for Data Intensive Workloads. CCGRID Rajat Garg, Seung Woo Son, Mahmut T. Kandemir, Padma Raghavan, Ramya Prabhakar
2009	—	`conf`	Towards Low-Cost, High-Accuracy Classifiers for Linear Solver Selection. ICCS (1) Sanjukta Bhowmick, Brice Toth, Padma Raghavan
2008	A	`conf`	A helper thread based EDP reduction scheme for adapting application execution in CMPs. IPDPS Yang Ding, Mahmut T. Kandemir, Padma Raghavan, Mary Jane Irwin
2008	A	`conf`	Evaluating the role of scratchpad memories in chip multiprocessors for sparse matrix computations. IPDPS Aditya Yanamandra, Bryan Cover, Padma Raghavan, Mary Jane Irwin, Mahmut T. Kandemir
2008	A	`conf`	Managing power, performance and reliability trade-offs. IPDPS Padma Raghavan, Mahmut T. Kandemir, Mary Jane Irwin, Konrad Malkowski
2008	C	`conf`	Ring data location prediction scheme for Non-Uniform Cache Architectures. ICCD Sayaka Akioka, Feihui Li, Konrad Malkowski, Padma Raghavan, Mahmut T. Kandemir, Mary Jane Irwin
2008	A	`conf`	Towards energy efficient scaling of scientific codes. IPDPS Yang Ding, Konrad Malkowski, Padma Raghavan, Mahmut T. Kandemir
2007	C	`conf`	Analysis of the IPv4 Address Space Delegation Structure. ISCC Anusha Sriraman, Kevin R. B. Butler, Patrick D. McDaniel, Padma Raghavan
2007	A	`conf`	Link Shutdown Opportunities During Collective Communications in 3-D Torus Nets. IPDPS S. Conner, Sayaka Akioka, Mary Jane Irwin, Padma Raghavan
2007	A	`conf`	Load Miss Prediction - Exploiting Power Performance Trade-offs. IPDPS Konrad Malkowski, Greg M. Link, Padma Raghavan, Mary Jane Irwin
2007	A	`conf`	Memory Optimizations For Fast Power-Aware Sparse Computations. IPDPS Konrad Malkowski, Padma Raghavan, Mary Jane Irwin
2007	A	`conf`	Phase-aware adaptive hardware selection for power-efficient scientific computations. ISLPED Konrad Malkowski, Padma Raghavan, Mahmut T. Kandemir, Mary Jane Irwin
2007	J	`jnl`	Reducing energy consumption of parallel sparse matrix applications through integrated link/CPU voltage scaling. J. Supercomput. Seung Woo Son, Konrad Malkowski, Guilin Chen, Mahmut T. Kandemir, Padma Raghavan
2007	B	`conf`	Ring Prediction for Non-Uniform Cache Architectures. PACT Sayaka Akioka, Feihui Li, Mahmut T. Kandemir, Padma Raghavan, Mary Jane Irwin
2006	Misc	`conf`	Characterizing the Performance and Energy Attributes of Scientific Simulations. International Conference on Computational Science (1) Sayaka Akioka, Konrad Malkowski, Padma Raghavan, Mary Jane Irwin, Lois C. McInnes, Boyana Norris
2006	A	`conf`	Conjugate gradient sparse solvers: performance-power characteristics. IPDPS Konrad Malkowski, Ingyu Lee, Padma Raghavan, Mary Jane Irwin
2006	J	`jnl`	Effective Preconditioning through Ordering Interleaved with Incomplete Factorization. SIAM J. Matrix Anal. Appl. Ingyu Lee, Padma Raghavan, Esmond G. Ng
2006	—	`ch.`	Frontiers of Scientific Computing: An Overview. Parallel Processing for Scientific Computing Michael A. Heroux, Padma Raghavan, Horst D. Simon
2006	A	`conf`	Integrated link/CPU voltage scaling for reducing energy consumption of parallel sparse matrix applications. IPDPS Seung Woo Son, Konrad Malkowski, Guilin Chen, Mahmut T. Kandemir, Padma Raghavan
2006	A	`conf`	On improving performance and energy profiles of sparse scientific applications. IPDPS Konrad Malkowski, Ingyu Lee, Padma Raghavan, Mary Jane Irwin
2006	—	`ch.`	Opportunities and Challenges for Parallel Computing in Science and Engineering. Parallel Processing for Scientific Computing Michael A. Heroux, Padma Raghavan, Horst D. Simon
2006	—	`book`	Parallel Processing for Scientific Computing Michael A. Heroux, Padma Raghavan, Horst D. Simon
2006	A	`conf`	Poster reception - Energy/performance modeling for collective communication in 3-D torus cluster networks. SC S. Conner, Greg M. Link, S. Tobita, Mary Jane Irwin, Padma Raghavan
2006	A	`conf`	Poster reception - Toward a power efficient computer architecture for Barnes-Hut N-body simulations. SC Konrad Malkowski, Padma Raghavan, Mary Jane Irwin
2005	A	`conf`	Adaptive Software for Scientific Computing: Co-Managing Quality-Performance-Power Tradeoffs. IPDPS Padma Raghavan, Mary Jane Irwin, Lois C. McInnes, Boyana Norris
2005	Misc	`conf`	Multi-pass Mapping Schemes for Parallel Sparse Matrix Computations. International Conference on Computational Science (1) Konrad Malkowski, Padma Raghavan
2005	A	`conf`	Reducing Power with Performance Constraints for Parallel Sparse Applications. IPDPS Guangyu Chen, Konrad Malkowski, Mahmut T. Kandemir, Padma Raghavan
2004	—	`conf`	Advanced Algorithms and Software Components for Scientific Computing: An Introduction. PARA Padma Raghavan
2004	J	`jnl`	Faster PDE-based simulations using robust composite linear solvers. Future Gener. Comput. Syst. Sanjukta Bhowmick, Padma Raghavan, Lois C. McInnes, Boyana Norris
2004	—	`conf`	Parallel Hybrid Sparse Solvers Through Flexible Incomplete Cholesky Preconditioning. PARA Keita Teranishi, Padma Raghavan
2004	B	`conf`	Towards a Grid enabled system for multicomponent materials design. CCGRID Keita Teranishi, Padma Raghavan, Zi-Kui Liu
2003	J	`jnl`	A latency tolerant hybrid sparse solver using incomplete Cholesky factorization. Numer. Linear Algebra Appl. Padma Raghavan, Keita Teranishi, Esmond G. Ng
2003	—	`conf`	The Role of Multi-method Linear Solvers in PDE-based Simulations. ICCSA (1) Sanjukta Bhowmick, Lois C. McInnes, Boyana Norris, Padma Raghavan
2003	—	`conf`	Time-Memory Trade-Offs Using Sparse Matrix Methods for Large-Scale Eigenvalue Problems. ICCSA (1) Keita Teranishi, Padma Raghavan, Chao Yang
2002	Misc	`conf`	A Combinatorial Scheme for Developing Efficient Composite Solvers. International Conference on Computational Science (2) Sanjukta Bhowmick, Padma Raghavan, Keita Teranishi
2002	A	`conf`	A new data-mapping scheme for latency-tolerant distributed sparse triangular solution. SC Keita Teranishi, Padma Raghavan, Esmond G. Ng
2002	J	`jnl`	Large-Scale Normal Coordinate Analysis on Distributed Memory Parallel Systems. Int. J. High Perform. Comput. Appl. Chao Yang, Padma Raghavan, Lloyd F. Arrowood, Donald W. Noid, Bobby G. Sumpter, Robert E. Tuzun
2001	J	`jnl`	Level search schemes for information filtering and retrieval. Inf. Process. Manag. Xiaoyan Zhang, Michael W. Berry, Padma Raghavan
2001	—	`conf`	Scalable Preconditioning Using Incomplete Factors. PP Keita Teranishi, Padma Raghavan, Esmond G. Ng
2000	—	`conf`	A Grid Computing Environment for Enabling Large Scale Quantum Mechanical Simulations. GRID Jack J. Dongarra, Padma Raghavan
2000	J	`jnl`	Towards a Scalable Hybrid Sparse Solver. Concurr. Pract. Exp. Esmond G. Ng, Padma Raghavan
1999	—	`conf`	Incomplete Cholesky Parallel Preconditioners with Selective Inversion. PP Esmond G. Ng, Padma Raghavan
1999	J	`jnl`	Performance of Greedy Ordering Heuristics for Sparse Cholesky Factorization. SIAM J. Matrix Anal. Appl. Esmond G. Ng, Padma Raghavan
1998	J	`jnl`	Efficient Parallel Sparse Triangular Solution Using Selective Inversion. Parallel Process. Lett. Padma Raghavan
1997	J	`jnl`	Parallel Ordering Using Edge Contraction. Parallel Comput. Padma Raghavan
1997	J	`jnl`	Performance of a Fully Parallel Sparse Solver. Int. J. High Perform. Comput. Appl. Michael T. Heath, Padma Raghavan
1995	J	`jnl`	A Cartesian Parallel Nested Dissection Algorithm. SIAM J. Matrix Anal. Appl. Michael T. Heath, Padma Raghavan
1995	J	`jnl`	Distributed Sparse Gaussian Elimination and Orthogonal Factorization. SIAM J. Sci. Comput. Padma Raghavan
1988	—	`conf`	Distributed orthogonal factorization. C³P Alex Pothen, Padma Raghavan