Padma Raghavan

Guillaume Aupy, Manu Shantharam, Anne Benoit, Yves Robert, Padma Raghavan: Co-Scheduling Algorithms for High-Throughput Workload Execution. CoRR abs/1304.7793 (2013)

Anirban Chatterjee, Padma Raghavan: Similarity Graph Neighborhoods for Enhanced Supervised Classification. Procedia CS 9: 577-586 (2012)

Michael R. Frasca, Padma Raghavan: Phase Partitioning Methods for I/O Cache Optimization. ICPP 2012: 360-368

Brad Suchoski, Caleb Severn, Manu Shantharam, Padma Raghavan: Adapting Sparse Triangular Solution to GPUs. ICPP Workshops 2012: 140-148

Manu Shantharam, Sowmyalatha Srinivasmurthy, Padma Raghavan: Fault tolerant preconditioned conjugate gradient for sparse linear system solution. ICS 2012: 69-78

Michael R. Frasca, Kamesh Madduri, Padma Raghavan: NUMA-aware graph mining techniques for performance and energy efficiency. SC 2012: 95

Manu Shantharam, Anirban Chatterjee, Padma Raghavan: Exploiting dense substructures for fast sparse matrix vector multiplication. IJHPCA 25(3): 328-341 (2011)

Michael R. Frasca, Anirban Chatterjee, Padma Raghavan: Can models of scientific software-hardware interactions be predictive? Procedia CS 4: 322-331 (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. Procedia CS 4: 2307-2316 (2011)

Manu Shantharam, Sowmyalatha Srinivasmurthy, Padma Raghavan: Characterizing the impact of soft errors on iterative methods in scientific computing. ICS 2011: 152-161

Michael R. Frasca, Ramya Prabhakar, Padma Raghavan, Mahmut T. Kandemir: Virtual I/O caching: dynamic storage cache management for concurrent workloads. SC 2011: 38

Anirban Chatterjee, Kelly Fermoyle, Padma Raghavan: Characterizing sparse preconditioner performance for the support vector machine kernel. Procedia CS 1(1): 367-375 (2010)

Andrew Shaffer, Bruce Einfalt, Padma Raghavan: PFFTC: An improved fast Fourier transform for the IBM cell broadband engine. Procedia CS 1(1): 1045-1054 (2010)

Padma Raghavan, Keita Teranishi: Parallel Hybrid Preconditioning: Incomplete Factorization with Selective Sparse Approximate Inversion. SIAM J. Scientific Computing 32(3): 1323-1345 (2010)

Anirban Chatterjee, Sanjukta Bhowmick, Padma Raghavan: Feature subspace transformations for enhancing k-means clustering. CIKM 2010: 1801-1804

Yang Ding, Mahmut T. Kandemir, Mary Jane Irwin, Padma Raghavan: Dynamic core partitioning for energy efficiency. IPDPS Workshops 2010: 1-8

Konrad Malkowski, Padma Raghavan, Mahmut T. Kandemir: Analyzing the soft error resilience of linear solvers on multicore multiprocessors. IPDPS 2010: 1-12

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

Sai Prashanth Muralidhara, Mahmut T. Kandemir, Padma Raghavan: Intra-application cache partitioning. IPDPS 2010: 1-12

Sai Prashanth Muralidhara, Mahmut T. Kandemir, Padma Raghavan: Intra-application shared cache partitioning for multithreaded applications. PPOPP 2010: 329-330

Yang Ding, Mahmut T. Kandemir, Padma Raghavan, Mary Jane Irwin: Adapting application execution in CMPs using helper threads. J. Parallel Distrib. Comput. 69(9): 790-806 (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: 76-83

Manu Shantharam, Padma Raghavan, Mahmut T. Kandemir: Hybrid Techniques for Fast Multicore Simulation. Euro-Par 2009: 122-134

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

Sanjukta Bhowmick, Brice Toth, Padma Raghavan: Towards Low-Cost, High-Accuracy Classifiers for Linear Solver Selection. ICCS (1) 2009: 463-472

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

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

Yang Ding, Konrad Malkowski, Padma Raghavan, Mahmut T. Kandemir: Towards energy efficient scaling of scientific codes. IPDPS 2008: 1-8

Padma Raghavan, Mahmut T. Kandemir, Mary Jane Irwin, Konrad Malkowski: Managing power, performance and reliability trade-offs. IPDPS 2008: 1-5

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

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. The Journal of Supercomputing 41(3): 179-213 (2007)

Sayaka Akioka, Feihui Li, Mahmut T. Kandemir, Padma Raghavan, Mary Jane Irwin: Ring Prediction for Non-Uniform Cache Architectures. PACT 2007: 401

S. Conner, Sayaka Akioka, Mary Jane Irwin, Padma Raghavan: Link Shutdown Opportunities During Collective Communications in 3-D Torus Nets. IPDPS 2007: 1-8

Konrad Malkowski, Greg M. Link, Padma Raghavan, Mary Jane Irwin: Load Miss Prediction - Exploiting Power Performance Trade-offs. IPDPS 2007: 1-8

Konrad Malkowski, Padma Raghavan, Mary Jane Irwin: Memory Optimizations For Fast Power-Aware Sparse Computations. IPDPS 2007: 1-6

Anusha Sriraman, Kevin R. B. Butler, Patrick Drew McDaniel, Padma Raghavan: Analysis of the IPv4 Address Space Delegation Structure. ISCC 2007: 501-508

Konrad Malkowski, Padma Raghavan, Mahmut T. Kandemir, Mary Jane Irwin: Phase-aware adaptive hardware selection for power-efficient scientific computations. ISLPED 2007: 403-406

Ingyu Lee, Padma Raghavan, Esmond G. Ng: Effective Preconditioning through Ordering Interleaved with Incomplete Factorization. SIAM J. Matrix Analysis Applications 27(4): 1069-1088 (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: 242-249

Konrad Malkowski, Ingyu Lee, Padma Raghavan, Mary Jane Irwin: On improving performance and energy profiles of sparse scientific applications. IPDPS 2006

Konrad Malkowski, Ingyu Lee, Padma Raghavan, Mary Jane Irwin: Conjugate gradient sparse solvers: performance-power characteristics. IPDPS 2006

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

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

Konrad Malkowski, Padma Raghavan, Mary Jane Irwin: Poster reception - Toward a power efficient computer architecture for Barnes-Hut N-body simulations. SC 2006: 146

Konrad Malkowski, Padma Raghavan: Multi-pass Mapping Schemes for Parallel Sparse Matrix Computations. International Conference on Computational Science (1) 2005: 245-255

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

Sanjukta Bhowmick, Padma Raghavan, Lois C. McInnes, Boyana Norris: Faster PDE-based simulations using robust composite linear solvers. Future Generation Comp. Syst. 20(3): 373-387 (2004)

Keita Teranishi, Padma Raghavan, Zi-Kui Liu: Towards a Grid enabled system for multicomponent materials design. CCGRID 2004: 664-669

Padma Raghavan: Advanced Algorithms and Software Components for Scientific Computing: An Introduction. PARA 2004: 590-592

Keita Teranishi, Padma Raghavan: Parallel Hybrid Sparse Solvers Through Flexible Incomplete Cholesky Preconditioning. PARA 2004: 637-643

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

Keita Teranishi, Padma Raghavan, Chao Yang: Time-Memory Trade-Offs Using Sparse Matrix Methods for Large-Scale Eigenvalue Problems. ICCSA (1) 2003: 840-847

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. IJHPCA 16(4): 409-424 (2002)

Sanjukta Bhowmick, Padma Raghavan, Keita Teranishi: A Combinatorial Scheme for Developing Efficient Composite Solvers. International Conference on Computational Science (2) 2002: 325-334

Keita Teranishi, Padma Raghavan, Esmond G. Ng: A new data-mapping scheme for latency-tolerant distributed sparse triangular solution. SC 2002: 1-11

Xiaoyan Zhang, Michael W. Berry, Padma Raghavan: Level search schemes for information filtering and retrieval. Inf. Process. Manage. 37(2): 313-334 (2001)

Keita Teranishi, Padma Raghavan, Esmond G. Ng: Scalable Preconditioning Using Incomplete Factors. PPSC 2001

Esmond G. Ng, Padma Raghavan: Towards a Scalable Hybrid Sparse Solver. Concurrency - Practice and Experience 12(2-3): 53-68 (2000)

Jack Dongarra, Padma Raghavan: A Grid Computing Environment for Enabling Large Scale Quantum Mechanical Simulations. GRID 2000: 102-110

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 Processing Letters 8(1): 29-40 (1998)

Padma Raghavan: Parallel Ordering Using Edge Contraction. Parallel Computing 23(8): 1045-1067 (1997)