| 2007 |
| 31 | EE | Konrad Malkowski,
Padma Raghavan,
Mary Jane Irwin:
Memory Optimizations For Fast Power-Aware Sparse Computations.
IPDPS 2007: 1-6 |
| 30 | EE | S. Conner,
Sayaka Akioka,
Mary Jane Irwin,
Padma Raghavan:
Link Shutdown Opportunities During Collective Communications in 3-D Torus Nets.
IPDPS 2007: 1-8 |
| 29 | EE | Konrad Malkowski,
Greg M. Link,
Padma Raghavan,
Mary Jane Irwin:
Load Miss Prediction - Exploiting Power Performance Trade-offs.
IPDPS 2007: 1-8 |
| 28 | EE | Anusha Sriraman,
Kevin R. B. Butler,
Patrick Drew McDaniel,
Padma Raghavan:
Analysis of the IPv4 Address Space Delegation Structure.
ISCC 2007: 501-508 |
| 27 | EE | Konrad Malkowski,
Padma Raghavan,
Mahmut T. Kandemir,
Mary Jane Irwin:
Phase-aware adaptive hardware selection for power-efficient scientific computations.
ISLPED 2007: 403-406 |
| 26 | EE | Sayaka Akioka,
Feihui Li,
Mahmut T. Kandemir,
Padma Raghavan,
Mary Jane Irwin:
Ring Prediction for Non-Uniform Cache Architectures.
PACT 2007: 401 |
| 25 | EE | 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 |
| 24 | EE | Konrad Malkowski,
Ingyu Lee,
Padma Raghavan,
Mary Jane Irwin:
Conjugate gradient sparse solvers: performance-power characteristics.
IPDPS 2006 |
| 23 | EE | 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 |
| 22 | EE | Konrad Malkowski,
Ingyu Lee,
Padma Raghavan,
Mary Jane Irwin:
On improving performance and energy profiles of sparse scientific applications.
IPDPS 2006 |
| 21 | EE | 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 |
| 20 | EE | 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 |
| 19 | EE | 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 |
| 18 | EE | Padma Raghavan,
Mary Jane Irwin,
Lois C. McInnes,
Boyana Norris:
Adaptive Software for Scientific Computing: Co-Managing Quality-Performance-Power Tradeoffs.
IPDPS 2005 |
| 17 | EE | Guangyu Chen,
Konrad Malkowski,
Mahmut T. Kandemir,
Padma Raghavan:
Reducing Power with Performance Constraints for Parallel Sparse Applications.
IPDPS 2005 |
| 16 | EE | Konrad Malkowski,
Padma Raghavan:
Multi-pass Mapping Schemes for Parallel Sparse Matrix Computations.
International Conference on Computational Science (1) 2005: 245-255 |
| 2004 |
| 15 | EE | Keita Teranishi,
Padma Raghavan,
Zi-Kui Liu:
Towards a Grid enabled system for multicomponent materials design.
CCGRID 2004: 664-669 |
| 14 | EE | Padma Raghavan:
Advanced Algorithms and Software Components for Scientific Computing: An Introduction.
PARA 2004: 590-592 |
| 13 | EE | Keita Teranishi,
Padma Raghavan:
Parallel Hybrid Sparse Solvers Through Flexible Incomplete Cholesky Preconditioning.
PARA 2004: 637-643 |
| 12 | EE | 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 |
| 11 | EE | 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 |
| 10 | EE | 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 |
| 9 | EE | Sanjukta Bhowmick,
Padma Raghavan,
Keita Teranishi:
A Combinatorial Scheme for Developing Efficient Composite Solvers.
International Conference on Computational Science (2) 2002: 325-334 |
| 8 | EE | Keita Teranishi,
Padma Raghavan,
Esmond G. Ng:
A new data-mapping scheme for latency-tolerant distributed sparse triangular solution.
SC 2002: 1-11 |
| 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 | EE | 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) |