Padma Raghavan | Academic Influence

Padma Raghavan's AcademicInfluence.com Rankings

Padma Raghavan

Computer Science

#3954

World Rank

#4157

Historical Rank

Database

#9383

World Rank

#9882

Historical Rank

computer-science Degrees

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Computer Science

Padma Raghavan's Degrees

PhD Computer Science Pennsylvania State University
Masters Computer Science Pennsylvania State University

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Why Is Padma Raghavan Influential?

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According to Wikipedia, Padma Raghavan is a computer scientist who works as vice provost for research at Vanderbilt University. Raghavan graduated in 1985 from the Indian Institute of Technology Kharagpur. She earned her Ph.D. from Pennsylvania State University in 1991, with a dissertation on parallel algorithms for matrix decomposition supervised by Alex Pothen. She worked at the University of Tennessee and Oak Ridge National Laboratory, then returned as a faculty member to Penn State in 2000. At Penn State, she became a distinguished professor of computer science and engineering, associate vice president for research, and director of strategic initiatives. She moved to Vanderbilt as vice provost in 2016.

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Padma Raghavan's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Fault tolerant preconditioned conjugate gradient for sparse linear system solution (2012) (112)
Characterizing the impact of soft errors on iterative methods in scientific computing (2011) (82)
Reducing power with performance constraints for parallel sparse applications (2005) (78)
Parallel Processing for Scientific Computing (2006) (60)
Research and Education in Computational Science and Engineering (2016) (60)
A Cartesian Parallel Nested Dissection Algorithm (1992) (55)
Performance of Greedy Ordering Heuristics for Sparse Cholesky Factorization (1999) (53)
NUMA-aware graph mining techniques for performance and energy efficiency (2012) (40)
A helper thread based EDP reduction scheme for adapting application execution in CMPs (2008) (40)
Performance of a Fully Parallel Sparse Solver (1994) (39)
Distributed orthogonal factorization (1989) (38)
Analyzing the soft error resilience of linear solvers on multicore multiprocessors (2010) (32)
Hyperpolarized relaxometry based nuclear T1 noise spectroscopy in diamond (2019) (30)
Efficient Parallel Sparse Triangular Solution Using Selective Inversion (1998) (29)
Adapting Sparse Triangular Solution to GPUs (2012) (29)
Level search schemes for information filtering and retrieval (2001) (29)
Adaptive sparse linear solvers for implicit CFD using Newton-Krylov algorithms (2003) (27)
The Role of Multi-method Linear Solvers in PDE-based Simulations (2003) (27)
Scalable parallel graph partitioning (2013) (27)
Markov Model Based Disk Power Management for Data Intensive Workloads (2009) (27)
Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis (2017) (26)
Line and plane separators (1993) (26)
Faster PDE-based simulations using robust composite linear solvers (2004) (24)
Parallel Ordering Using Edge Contraction (1997) (22)
Intra-application cache partitioning (2010) (21)
A Blocked Incomplete Cholesky Preconditioner For Hierarchical-Memory Computers (1999) (21)
Co-scheduling algorithms for high-throughput workload execution (2013) (20)
Parallel Processing for Scientific Computing (Software, Environments and Tools) (2006) (20)
Reducing energy consumption of parallel sparse matrix applications through integrated link/CPU voltage scaling (2007) (19)
Towards Low-Cost, High-Accuracy Classifiers for Linear Solver Selection (2009) (19)
Towards energy efficient scaling of scientific codes (2008) (18)
A latency tolerant hybrid sparse solver using incomplete Cholesky factorization (2003) (18)
A Combinatorial Scheme for Developing Efficient Composite Solvers (2002) (18)
A New Framework for Evaluating Straggler Detection Mechanisms in MapReduce (2019) (18)
Distributed sparse Gaussian elimination and orthogonal factorization (1995) (17)
STS-k: a multilevel sparse triangular solution scheme for NUMA multicores (2015) (17)
Parallel adaptive solvers in compressible petsc-fun3d simulations (2006) (17)
Integrated link/CPU voltage scaling for reducing energy consumption of parallel sparse matrix applications (2006) (16)
Effective Preconditioning through Ordering Interleaved with Incomplete Factorization (2005) (15)
Parallel Hybrid Preconditioning: Incomplete Factorization with Selective Sparse Approximate Inversion (2010) (14)
Scheduling Parallel Tasks under Multiple Resources: List Scheduling vs. Pack Scheduling (2018) (14)
Link Shutdown Opportunities During Collective Communications in 3-D Torus Nets (2007) (14)
Phase-aware adaptive hardware selection for power-efficient scientific computations (2007) (13)
Phase Detection with Hidden Markov Models for DVFS on Many-Core Processors (2015) (13)
A New Data-Mapping Scheme for Latency-Tolerant Distributed Sparse Triangular Solution (2002) (12)
Speedup-Aware Co-Schedules for Efficient Workload Management (2013) (12)
Load Miss Prediction - Exploiting Power Performance Trade-offs (2007) (11)
Similarity Graph Neighborhoods for Enhanced Supervised Classification (2012) (11)
A multilevel compressed sparse row format for efficient sparse computations on multicore processors (2014) (11)
Conjugate gradient sparse solvers: performance-power characteristics (2006) (11)
Distributed sparse matrix factorization: QR and Cholesky decompositions (1992) (11)
Reservation Strategies for Stochastic Jobs (2019) (11)
Coping with silent and fail-stop errors at scale by combining replication and checkpointing (2018) (11)
Analysis of the IPv4 Address Space Delegation Structure (2007) (9)
Identifying the Right Replication Level to Detect and Correct Silent Errors at Scale (2017) (9)
Exploiting dense substructures for fast sparse matrix vector multiplication (2011) (9)
Towards a Scalable Hybrid Sparse Solver (2000) (9)
Performance of Parallel Sparse Triangular Solution (1999) (9)
Speculative Scheduling for Stochastic HPC Applications (2019) (8)
Virtual I/O caching: Dynamic storage cache management for concurrent workloads (2011) (8)
A distributed solution of sparse linear systems (2001) (8)
Adapting application execution in CMPs using helper threads (2009) (8)
Adapting Application Mapping to Systematic Within-Die Process Variations on Chip Multiprocessors (2008) (8)
Design and Comparison of Resilient Scheduling Heuristics for Parallel Jobs (2020) (7)
On-the-fly scheduling versus reservation-based scheduling for unpredictable workflows (2019) (7)
Ring data location prediction scheme for Non-Uniform Cache Architectures (2008) (7)
Evaluating the role of scratchpad memories in chip multiprocessors for sparse matrix computations (2008) (7)
Large-scale quantum mechanical simulations of carbon nanowires (2000) (6)
Intra-application shared cache partitioning for multithreaded applications (2010) (6)
Co-scheduling Amdahl applications on cache-partitioned systems (2018) (6)
A Quality-of-Service Architecture for High-Performance Numerical Components † (2003) (6)
Tools for mapping applications to CCMs (1998) (5)
Energy/performance modeling for collective communication in 3-D torus cluster networks (2006) (5)
A Hybrid Parallel Preconditioner Using Incomplete Cholesky Factorization and Sparse Approximate Inversion (2007) (5)
On improving performance and energy profiles of sparse scientific applications (2006) (5)
A fast implementation of the FETI‐DP method: FETI‐DP‐RBS‐LNA and applications on large scale problems with localized non‐linearities (2005) (5)
Ring Prediction for Non-Uniform Cache Architectures (2007) (4)
Adaptive software for scientific computing: co-managing quality-performance-power tradeoffs (2005) (3)
Locality-Aware Laplacian Mesh Smoothing (2016) (3)
Towards a Grid enabled system for multicomponent materials design (2004) (3)
Reservation and Checkpointing Strategies for Stochastic Jobs (2020) (3)
Multi-pass Mapping Schemes for Parallel Sparse Matrix Computations (2005) (3)
Large-Scale Normal Coordinate Analysis on Distributed Memory Parallel Systems (2002) (3)
Symbolic preprocessing techniques for information retrieval using vector space models (2001) (3)
BIT Numerical Mathematics: Editorial (2005) (3)
Distributed solution of sparse symmetric positive definite systems (1993) (3)
A Multilevel Cholesky Conjugate Gradients Hybrid Solver for Linear Systems with Multiple Right-hand Sides (2011) (3)
Resilient Scheduling of Moldable Parallel Jobs to Cope With Silent Errors (2022) (3)
O(N1.5) solution of hybrid FEM problems (1994) (3)
An embedded sectioning scheme for multiprocessor topology-aware mapping of irregular applications (2017) (2)
Hybrid Techniques for Fast Multicore Simulation (2009) (2)
Time-Memory Trade-Offs Using Sparse Matrix Methods for Large-Scale Eigenvalue Problems (2003) (2)
Memory Optimizations For Fast Power-Aware Sparse Computations (2007) (2)
Scheduling Moldable Jobs on Failure-Prone Platforms (2020) (2)
Feature subspace transformations for enhancing k-means clustering (2010) (2)
Co-Scheduling High-Performance Computing Applications (2017) (2)
An evaluation of limited‐memory sparse linear solvers for thermo‐mechanical applications (2008) (2)
Scalable Preconditioning Using Incomplete Factors (2001) (2)
T-NUCA - a novel approach to non-uniform access latency cache architectures for 3D CMPs (2010) (2)
A Grid Computing Environment for Enabling Large Scale Quantum Mechanical Simulations (2000) (2)
Multimethod solvers: algorithms, applications and software (2005) (2)
Can models of scientific software-hardware interactions be predictive? (2011) (2)
Resilient Scheduling of Moldable Jobs on Failure-Prone Platforms (2020) (2)
Characterizing the Performance and Energy Attributes of Scientific Simulations (2006) (2)
Characterizing sparse preconditioner performance for the support vector machine kernel (2010) (2)
Distributed sparse Gaussian elimination and orthogonal factorization (1994) (2)
Parallel Hybrid Sparse Solvers Through Flexible Incomplete Cholesky Preconditioning (2004) (1)
Toward a power efficient computer architecture for Barnes-Hut N-body simulations (2006) (1)
Co-Scheduling Algorithms for Cache-Partitioned Systems (2017) (1)
Exploiting sparsity, structure, and geometry for knowledge discovery (2011) (1)
Reservation and Checkpointing Strategies for Stochastic Jobs (Extended Version) (2019) (1)
Readily regenerable reduced microstructure representations (2008) (1)
Multi-Resource List Scheduling of Moldable Parallel Jobs under Precedence Constraints (2021) (1)
Tree Cache – A Novel Approach to Non-Uniform Access Latency Cache Architectures for 3 D CMPs (2009) (1)
Selective Protection for Sparse Iterative Solvers to Reduce the Resilience Overhead (2020) (1)
Frontiers of Scientific Computing: An Overview (2006) (1)
An O(n log n) solution algorithm for spectral element methods (2003) (1)
PFFTC: An improved fast Fourier transform for the IBM cell broadband engine (2010) (1)
Dynamic core partitioning for energy efficiency (2010) (1)
Resilient Scheduling Heuristics for Rigid Parallel Jobs (2021) (1)
Applications of the FETI-DP-RBS-LNA Algorithm on Large Scale Problems with Localized Nonlinearities (2007) (0)
Increase in inter-network functional connectivity in the human brain with attention capture. (2020) (0)
regenerable reduced microstructure representations q (2008) (0)
Lapack Working Note 63 (ut Cs-93-202) Line and Plane Separators (1993) (0)
Lapack Working Note 64 Ut Cs-93-203 Distributed Sparse Gaussian Elimination and Orthogonal Factorization (1993) (0)
Interference Resolver in Shared Storage Systems to Provide Fairness to I/O Intensive Applications (2013) (0)
LAPACK Working Note 64: Distributed Sparse Gaussian Elimination and Orthogonal Factorization (1993) (0)
An Efficient Scheme for Updating Sparse Cholesky Factors (2002) (0)
MMINi-DASS : A simulation framework for predicting neuronal interconnectivity of human brain regions (2007) (0)
Lapack Working Note 62 Ut Cs-93-201 Distributed Solution of Sparse Linear Systems (1993) (0)
Managing power, performance and reliability trade-offs (2008) (0)
Sparse scientific applications: improving performance and energy characteristics on advanced architectures (2007) (0)
Co-Scheduling High Performance Computing Applications 1 (2016) (0)
Co-scheduling algorithms for high-throughput workload execution (2015) (0)
Advanced Algorithms and Software Components for Scientific Computing: An Introduction (2004) (0)
A Scalability and Sensitivity Study of Parallel Geometric Algorithms for Graph Partitioning (2018) (0)
Special Issue: Selected Papers from Super Computing 2012 (2013) (0)
A comparison of computational complexities of HFEM and ABC based finite element methods (1997) (0)
New Results - STS-k: A Multi-level Sparse Triangular Solution Scheme for NUMA Multicores (2015) (0)
Reservation Strategies for Stochastic Jobs (Extended Version) (2018) (0)
Algorithmic approaches for enhancing speedup, energy and resiliency measures of sparse scientific computations (2012) (0)
PERFORMANCE OF PARALLEL SPARSETRIANGULAR (1998) (0)
Incomplete Cholesky Parallel Preconditioners with Selective Inversion (1999) (0)
Hybrid Sparse Linear Solutions with Substituted Factorization (2014) (0)
Phase Partitioning Methods for I/O Cache Optimization (2012) (0)
Opportunities and Challenges for Parallel Computing in Science and Engineering (2006) (0)
Improving Classifications Through Graph Embeddings (2013) (0)

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