| 2009 | ||
|---|---|---|
| 40 | Manu Shantharam, Padma Raghavan, Mahmut T. Kandemir: Hybrid Techniques for Fast Multicore Simulation. Euro-Par 2009: 122-134 | |
| 39 | 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 | |
| 38 | Sanjukta Bhowmick, Brice Toth, Padma Raghavan: Towards Low-Cost, High-Accuracy Classifiers for Linear Solver Selection. ICCS (1) 2009: 463-472 | |
| 2008 | ||
| 37 | 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 | |
| 36 | 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 | |
| 35 | 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 | |
| 34 | Padma Raghavan, Mahmut T. Kandemir, Mary Jane Irwin, Konrad Malkowski: Managing power, performance and reliability trade-offs. IPDPS 2008: 1-5 | |
| 33 | Yang Ding, Konrad Malkowski, Padma Raghavan, Mahmut T. Kandemir: Towards energy efficient scaling of scientific codes. IPDPS 2008: 1-8 | |
| 2007 | ||
| 32 | Konrad Malkowski, Padma Raghavan, Mary Jane Irwin: Memory Optimizations For Fast Power-Aware Sparse Computations. IPDPS 2007: 1-6 | |
| 31 | S. Conner, Sayaka Akioka, Mary Jane Irwin, Padma Raghavan: Link Shutdown Opportunities During Collective Communications in 3-D Torus Nets. IPDPS 2007: 1-8 | |
| 30 | Konrad Malkowski, Greg M. Link, Padma Raghavan, Mary Jane Irwin: Load Miss Prediction - Exploiting Power Performance Trade-offs. IPDPS 2007: 1-8 | |
| 29 | Anusha Sriraman, Kevin R. B. Butler, Patrick Drew McDaniel, Padma Raghavan: Analysis of the IPv4 Address Space Delegation Structure. ISCC 2007: 501-508 | |
| 28 | Konrad Malkowski, Padma Raghavan, Mahmut T. Kandemir, Mary Jane Irwin: Phase-aware adaptive hardware selection for power-efficient scientific computations. ISLPED 2007: 403-406 | |
| 27 | Sayaka Akioka, Feihui Li, Mahmut T. Kandemir, Padma Raghavan, Mary Jane Irwin: Ring Prediction for Non-Uniform Cache Architectures. PACT 2007: 401 | |
| 26 | 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) | |
| 2006 | ||
| 25 | Konrad Malkowski, Ingyu Lee, Padma Raghavan, Mary Jane Irwin: Conjugate gradient sparse solvers: performance-power characteristics. IPDPS 2006 | |
| 24 | 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 | |
| 23 | Konrad Malkowski, Ingyu Lee, Padma Raghavan, Mary Jane Irwin: On improving performance and energy profiles of sparse scientific applications. IPDPS 2006 | |
| 22 | 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 | |
| 21 | 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 | |
| 20 | Konrad Malkowski, Padma Raghavan, Mary Jane Irwin: Poster reception - Toward a power efficient computer architecture for Barnes-Hut N-body simulations. SC 2006: 146 | |
| 2005 | ||
| 19 | Padma Raghavan, Mary Jane Irwin, Lois C. McInnes, Boyana Norris: Adaptive Software for Scientific Computing: Co-Managing Quality-Performance-Power Tradeoffs. IPDPS 2005 | |
| 18 | Guangyu Chen, Konrad Malkowski, Mahmut T. Kandemir, Padma Raghavan: Reducing Power with Performance Constraints for Parallel Sparse Applications. IPDPS 2005 | |
| 17 | Konrad Malkowski, Padma Raghavan: Multi-pass Mapping Schemes for Parallel Sparse Matrix Computations. International Conference on Computational Science (1) 2005: 245-255 | |
| 2004 | ||
| 16 | Keita Teranishi, Padma Raghavan, Zi-Kui Liu: Towards a Grid enabled system for multicomponent materials design. CCGRID 2004: 664-669 | |
| 15 | Padma Raghavan: Advanced Algorithms and Software Components for Scientific Computing: An Introduction. PARA 2004: 590-592 | |
| 14 | Keita Teranishi, Padma Raghavan: Parallel Hybrid Sparse Solvers Through Flexible Incomplete Cholesky Preconditioning. PARA 2004: 637-643 | |
| 13 | 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) | |
| 2003 | ||
| 12 | 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 | |
| 11 | 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 | ||
| 10 | Sanjukta Bhowmick, Padma Raghavan, Keita Teranishi: A Combinatorial Scheme for Developing Efficient Composite Solvers. International Conference on Computational Science (2) 2002: 325-334 | |
| 9 | Keita Teranishi, Padma Raghavan, Esmond G. Ng: A new data-mapping scheme for latency-tolerant distributed sparse triangular solution. SC 2002: 1-11 | |
| 8 | 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) | |
| 2001 | ||
| 7 | Keita Teranishi, Padma Raghavan, Esmond G. Ng: Scalable Preconditioning Using Incomplete Factors. PPSC 2001 | |
| 6 | Xiaoyan Zhang, Michael W. Berry, Padma Raghavan: Level search schemes for information filtering and retrieval. Inf. Process. Manage. 37(2): 313-334 (2001) | |
| 2000 | ||
| 5 | Jack Dongarra, Padma Raghavan: A Grid Computing Environment for Enabling Large Scale Quantum Mechanical Simulations. GRID 2000: 102-110 | |
| 4 | Esmond G. Ng, Padma Raghavan: Towards a Scalable Hybrid Sparse Solver. Concurrency - Practice and Experience 12(2-3): 53-68 (2000) | |
| 1999 | ||
| 3 | Esmond G. Ng, Padma Raghavan: Incomplete Cholesky Parallel Preconditioners with Selective Inversion. PPSC 1999 | |
| 1998 | ||
| 2 | Padma Raghavan: Efficient Parallel Sparse Triangular Solution Using Selective Inversion. Parallel Processing Letters 8(1): 29-40 (1998) | |
| 1997 | ||
| 1 | Padma Raghavan: Parallel Ordering Using Edge Contraction. Parallel Computing 23(8): 1045-1067 (1997) | |