Padma Raghavan

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 26

Top Venues

CoRR

ICPP

Int. J. High Perform. Comput. Appl.

IPDPS

Publications

Lucas Perotin, Sandhya Kandaswamy, Hongyang Sun, Padma Raghavan
Multi-resource scheduling of moldable workflows. J. Parallel Distributed Comput. 184 (2024)
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)
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) (2022)
Anne Benoit, Valentin Le Fèvre, Padma Raghavan, Yves Robert, Hongyang Sun
Resilient Scheduling Heuristics for Rigid Parallel Jobs. Int. J. Netw. Comput. 11 (1) (2021)
Lucas Perotin, Hongyang Sun, Padma Raghavan
Multi-Resource List Scheduling of Moldable Parallel Jobs under Precedence Constraints. ICPP (2021)
Lucas Perotin, Hongyang Sun, Padma Raghavan
Multi-Resource List Scheduling of Moldable Parallel Jobs under Precedence Constraints. CoRR (2021)
Anne Benoit, Valentin Le Fèvre, Padma Raghavan, Yves Robert, Hongyang Sun
Design and Comparison of Resilient Scheduling Heuristics for Parallel Jobs. IPDPS Workshops (2020)
Ana Gainaru, Brice Goglin, Valentin Honoré, Guillaume Pallez Aupy, Padma Raghavan, Yves Robert, Hongyang Sun
Reservation and Checkpointing Strategies for Stochastic Jobs. IPDPS (2020)
Anne Benoit, Valentin Le Fèvre, Lucas Perotin, Padma Raghavan, Yves Robert, Hongyang Sun
Resilient Scheduling of Moldable Jobs on Failure-Prone Platforms. CLUSTER (2020)
Hongyang Sun, Ana Gainaru, Manu Shantharam, Padma Raghavan
Selective Protection for Sparse Iterative Solvers to Reduce the Resilience Overhead. SBAC-PAD (2020)
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) (2019)
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)
Guillaume Aupy, Ana Gainaru, Valentin Honoré, Padma Raghavan, Yves Robert, Hongyang Sun
Reservation Strategies for Stochastic Jobs. IPDPS (2019)
Ana Gainaru, Guillaume Pallez, Hongyang Sun, Padma Raghavan
Speculative Scheduling for Stochastic HPC Applications. ICPP (2019)
Hongyang Sun, Redouane Elghazi, Ana Gainaru, Guillaume Aupy, Padma Raghavan
Scheduling Parallel Tasks under Multiple Resources: List Scheduling vs. Pack Scheduling. IPDPS (2018)
Francine Berman, Rob A. Rutenbar, Brent Hailpern, Henrik Christensen, Susan 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) (2018)
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 (2018)
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) (2018)
Shad Kirmani, Hongyang Sun, Padma Raghavan
A Scalability and Sensitivity Study of Parallel Geometric Algorithms for Graph Partitioning. SBAC-PAD (2018)
Guillaume Aupy, Anne Benoit, Loïc Pottier, Padma Raghavan, Yves Robert, Manu Shantharam
Co-Scheduling Algorithms for Cache-Partitioned Systems. IPDPS Workshops (2017)
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)
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) (2017)
Guillaume Aupy, JeongHyung Park, Padma Raghavan
Locality-Aware Laplacian Mesh Smoothing. CoRR (2016)
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 (2016)
Guillaume Aupy, Manu Shantharam, Anne Benoit, Yves Robert, Padma Raghavan
Co-scheduling algorithms for high-throughput workload execution. J. Sched. 19 (6) (2016)
Guillaume Aupy, JeongHyung Park, Padma Raghavan
Locality-Aware Laplacian Mesh Smoothing. ICPP (2016)
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)
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)
Joshua Dennis Booth, Padma Raghavan
Hybrid Sparse Linear Solutions with Substituted Factorization. VECPAR (2014)
Humayun Kabir, Joshua Dennis Booth, Padma Raghavan
A multilevel compressed sparse row format for efficient sparse computations on multicore processors. HiPC (2014)
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)
Shad Kirmani, Padma Raghavan
Scalable parallel graph partitioning. SC (2013)
Guillaume Aupy, Manu Shantharam, Anne Benoit, Yves Robert, Padma Raghavan
Co-Scheduling Algorithms for High-Throughput Workload Execution CoRR (2013)
Manu Shantharam, Youngtae Youn, Padma Raghavan
Speedup-Aware Co-Schedules for Efficient Workload Management. Parallel Process. Lett. 23 (2) (2013)
Jeffrey S. Vetter, Padma Raghavan
Special Issue: Selected Papers from Super Computing 2012. Sci. Program. 21 (3-4) (2013)
Manu Shantharam, Sowmyalatha Srinivasmurthy, Padma Raghavan
Fault tolerant preconditioned conjugate gradient for sparse linear system solution. ICS (2012)
Anirban Chatterjee, Padma Raghavan
Similarity Graph Neighborhoods for Enhanced Supervised Classification. ICCS (2012)
Michael R. Frasca, Kamesh Madduri, Padma Raghavan
NUMA-aware graph mining techniques for performance and energy efficiency. SC (2012)
Michael R. Frasca, Padma Raghavan
Phase Partitioning Methods for I/O Cache Optimization. ICPP (2012)
Brad Suchoski, Caleb Severn, Manu Shantharam, Padma Raghavan
Adapting Sparse Triangular Solution to GPUs. ICPP Workshops (2012)
Michael R. Frasca, Ramya Prabhakar, Padma Raghavan, Mahmut T. Kandemir
Virtual I/O caching: dynamic storage cache management for concurrent workloads. SC (2011)
Manu Shantharam, Anirban Chatterjee, Padma Raghavan
Exploiting dense substructures for fast sparse matrix vector multiplication. Int. J. High Perform. Comput. Appl. 25 (3) (2011)
Michael R. Frasca, Anirban Chatterjee, Padma Raghavan
Can models of scientific software-hardware interactions be predictive? ICCS (2011)
Manu Shantharam, Sowmyalatha Srinivasmurthy, Padma Raghavan
Characterizing the impact of soft errors on iterative methods in scientific computing. ICS (2011)
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)
Anirban Chatterjee, Kelly Fermoyle, Padma Raghavan
Characterizing sparse preconditioner performance for the support vector machine kernel. ICCS (1) (2010)
Sai Prashanth Muralidhara, Mahmut T. Kandemir, Padma Raghavan
Intra-application shared cache partitioning for multithreaded applications. PPOPP (2010)
Yang Ding, Mahmut T. Kandemir, Mary Jane Irwin, Padma Raghavan
Dynamic core partitioning for energy efficiency. IPDPS Workshops (2010)
Padma Raghavan, Keita Teranishi
Parallel Hybrid Preconditioning: Incomplete Factorization with Selective Sparse Approximate Inversion. SIAM J. Sci. Comput. 32 (3) (2010)
Konrad Malkowski, Padma Raghavan, Mahmut T. Kandemir
Analyzing the soft error resilience of linear solvers on multicore multiprocessors. IPDPS (2010)
Sai Prashanth Muralidhara, Mahmut T. Kandemir, Padma Raghavan
Intra-application cache partitioning. IPDPS (2010)
Andrew Shaffer, Bruce Einfalt, Padma Raghavan
PFFTC: An improved fast Fourier transform for the IBM cell broadband engine. ICCS (1) (2010)
Anirban Chatterjee, Sanjukta Bhowmick, Padma Raghavan
Feature subspace transformations for enhancing k-means clustering. CIKM (2010)
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)
Yang Ding, Mahmut T. Kandemir, Mary Jane Irwin, Padma Raghavan
Adapting Application Mapping to Systematic Within-Die Process Variations on Chip Multiprocessors. HiPEAC (2009)
Rajat Garg, Seung Woo Son, Mahmut T. Kandemir, Padma Raghavan, Ramya Prabhakar
Markov Model Based Disk Power Management for Data Intensive Workloads. CCGRID (2009)
Manu Shantharam, Padma Raghavan, Mahmut T. Kandemir
Hybrid Techniques for Fast Multicore Simulation. Euro-Par (2009)
Yang Ding, Mahmut T. Kandemir, Padma Raghavan, Mary Jane Irwin
Adapting application execution in CMPs using helper threads. J. Parallel Distributed Comput. 69 (9) (2009)
Sanjukta Bhowmick, Brice Toth, Padma Raghavan
Towards Low-Cost, High-Accuracy Classifiers for Linear Solver Selection. ICCS (1) (2009)
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)
Padma Raghavan, Mahmut T. Kandemir, Mary Jane Irwin, Konrad Malkowski
Managing power, performance and reliability trade-offs. IPDPS (2008)
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)
Yang Ding, Konrad Malkowski, Padma Raghavan, Mahmut T. Kandemir
Towards energy efficient scaling of scientific codes. IPDPS (2008)
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)
Konrad Malkowski, Padma Raghavan, Mary Jane Irwin
Memory Optimizations For Fast Power-Aware Sparse Computations. IPDPS (2007)
Anusha Sriraman, Kevin R. B. Butler, Patrick D. McDaniel, Padma Raghavan
Analysis of the IPv4 Address Space Delegation Structure. ISCC (2007)
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) (2007)
Konrad Malkowski, Padma Raghavan, Mahmut T. Kandemir, Mary Jane Irwin
Phase-aware adaptive hardware selection for power-efficient scientific computations. ISLPED (2007)
Konrad Malkowski, Greg M. Link, Padma Raghavan, Mary Jane Irwin
Load Miss Prediction - Exploiting Power Performance Trade-offs. IPDPS (2007)
S. Conner, Sayaka Akioka, Mary Jane Irwin, Padma Raghavan
Link Shutdown Opportunities During Collective Communications in 3-D Torus Nets. IPDPS (2007)
Sayaka Akioka, Feihui Li, Mahmut T. Kandemir, Padma Raghavan, Mary Jane Irwin
Ring Prediction for Non-Uniform Cache Architectures. PACT (2007)
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)
Konrad Malkowski, Ingyu Lee, Padma Raghavan, Mary Jane Irwin
Conjugate gradient sparse solvers: performance-power characteristics. IPDPS (2006)
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)
Konrad Malkowski, Padma Raghavan, Mary Jane Irwin
Poster reception - Toward a power efficient computer architecture for Barnes-Hut N-body simulations. SC (2006)
Konrad Malkowski, Ingyu Lee, Padma Raghavan, Mary Jane Irwin
On improving performance and energy profiles of sparse scientific applications. IPDPS (2006)
Ingyu Lee, Padma Raghavan, Esmond G. Ng
Effective Preconditioning through Ordering Interleaved with Incomplete Factorization. SIAM J. Matrix Anal. Appl. 27 (4) (2006)
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)
Guangyu Chen, Konrad Malkowski, Mahmut T. Kandemir, Padma Raghavan
Reducing Power with Performance Constraints for Parallel Sparse Applications. IPDPS (2005)
Padma Raghavan, Mary Jane Irwin, Lois C. McInnes, Boyana Norris
Adaptive Software for Scientific Computing: Co-Managing Quality-Performance-Power Tradeoffs. IPDPS (2005)
Konrad Malkowski, Padma Raghavan
Multi-pass Mapping Schemes for Parallel Sparse Matrix Computations. International Conference on Computational Science (1) (2005)
Padma Raghavan
Advanced Algorithms and Software Components for Scientific Computing: An Introduction. PARA (2004)
Keita Teranishi, Padma Raghavan, Zi-Kui Liu
Towards a Grid enabled system for multicomponent materials design. CCGRID (2004)
Sanjukta Bhowmick, Padma Raghavan, Lois C. McInnes, Boyana Norris
Faster PDE-based simulations using robust composite linear solvers. Future Gener. Comput. Syst. 20 (3) (2004)
Keita Teranishi, Padma Raghavan
Parallel Hybrid Sparse Solvers Through Flexible Incomplete Cholesky Preconditioning. PARA (2004)
Padma Raghavan, Keita Teranishi, Esmond G. Ng
A latency tolerant hybrid sparse solver using incomplete Cholesky factorization. Numer. Linear Algebra Appl. 10 (5-6) (2003)
Keita Teranishi, Padma Raghavan, Chao Yang
Time-Memory Trade-Offs Using Sparse Matrix Methods for Large-Scale Eigenvalue Problems. ICCSA (1) (2003)
Sanjukta Bhowmick, Lois C. McInnes, Boyana Norris, Padma Raghavan
The Role of Multi-method Linear Solvers in PDE-based Simulations. ICCSA (1) (2003)
Sanjukta Bhowmick, Padma Raghavan, Keita Teranishi
A Combinatorial Scheme for Developing Efficient Composite Solvers. International Conference on Computational Science (2) (2002)
Chao Yang, Padma Raghavan, Lloyd 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) (2002)
Keita Teranishi, Padma Raghavan, Esmond G. Ng
A new data-mapping scheme for latency-tolerant distributed sparse triangular solution. SC (2002)
Keita Teranishi, Padma Raghavan, Esmond G. Ng
Scalable Preconditioning Using Incomplete Factors. PPSC (2001)
Xiaoyan Zhang, Michael W. Berry, Padma Raghavan
Level search schemes for information filtering and retrieval. Inf. Process. Manag. 37 (2) (2001)
Jack J. Dongarra, Padma Raghavan
A Grid Computing Environment for Enabling Large Scale Quantum Mechanical Simulations. GRID (2000)
Esmond G. Ng, Padma Raghavan
Towards a Scalable Hybrid Sparse Solver. Concurr. Pract. Exp. 12 (2-3) (2000)
Esmond G. Ng, Padma Raghavan
Performance of Greedy Ordering Heuristics for Sparse Cholesky Factorization. SIAM J. Matrix Anal. Appl. 20 (4) (1999)
Esmond G. Ng, Padma Raghavan
Incomplete Cholesky Parallel Preconditioners with Selective Inversion. PPSC (1999)
Padma Raghavan
Efficient Parallel Sparse Triangular Solution Using Selective Inversion. Parallel Process. Lett. 8 (1) (1998)
Padma Raghavan
Parallel Ordering Using Edge Contraction. Parallel Comput. 23 (8) (1997)
Michael T. Heath, Padma Raghavan
Performance of a Fully Parallel Sparse Solver. Int. J. High Perform. Comput. Appl. 11 (1) (1997)

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Publication Activity (10 Years)

Top Topics

Top Venues

Padma Raghavan