Three-dimensional finite-element analyses: implications for computer architectures. - Valerie E. Taylor; Abhiram G. Ranade; David G. Messerschmitt (SC, 1991)

The Effects of Communication Overhead on the Speedup of Parallel 3-D Finite Element Applications. - Valerie E. Taylor; Bahram Nour-Omid; David G. Messerschmitt (IPPS, 1992)

Sparse Matrix Computations: Implications for Cache Designs. - Valerie E. Taylor (SC, 1992)

Practical Isuues of 2-D Parallel Finite Element Analysis. - Michelle R. Hribar; Valerie E. Taylor (ICPP (3), 1994)

SPAR: A New Architecture for Large Finite Element Computations. - Valerie E. Taylor; Abhiram G. Ranade; David G. Messerschmitt (IEEE Trans. Computers, 1995)

A Decomposition Method For Efficient Use Of Distributed Supercomputers For Finite Element Applications. - Valerie E. Taylor; Jian Chen 044; Thomas Canfield; Rick L. Stevens (ASAP, 1996)

Balancing Load versus Decreasing Communication: Exploring the Tradeoffs. - Valerie E. Taylor; Bruce K. Holmer; Eric J. Schwabe; Michelle R. Hribar (HICSS (1), 1996)

Bridge: A Retargetable Extensive Profiling Tool. - Jian Chen 044; Maurice Rabb; Valerie E. Taylor (MASCOTS, 1996)

Identifying and reducing critical lag in finite element simulations. - Valerie E. Taylor; Jian Chen 044; Milana Huang; Thomas Canfield; Rick L. Stevens (IEEE Computer Graphics and Applications, 1996)

Performance Modeling of Interactive, Immersive Virtual Environments for Finite Element Simulations. - Valerie E. Taylor; Milana Huang; Thomas Canfield; Rick Stevens; Daniel A. Reed; Stephen E. Lamm (Int. J. High Perform. Comput. Appl., 1996)

Towards the Design of a Heterogeneous Hierarchical Machine: A Simulation Approach. - Zina Ben-Miled; José A. B. Fortes; Rudolf Eigenmann; Valerie E. Taylor (Annual Simulation Symposium, 1997)

PART: a partitioning tool for efficient use of distributed systems. - Jian Chen 044; Valerie E. Taylor (ASAP, 1997)

Implicit Finite Element Applications: A Case for Matching the Number of Processors to the Dynamics of the Program Execution. - Meenakshi A. Kandaswamy; Valerie E. Taylor; Rudolf Eigenmann; José A. B. Fortes (PP, 1997)

Parallel Molecular Dynamics: Implications for Massively Parallel Machines. - Valerie E. Taylor; Rick L. Stevens; Kathryn E. Arnold (J. Parallel Distributed Comput., 1997)

On the Implementation of Broadcast, Scatter and Gather in a Heterogeneous Architecture. - Zina Ben-Miled; José A. B. Fortes; Rudolf Eigenmann; Valerie E. Taylor (HICSS (3), 1998)

Mesh Partitioning for Distributed Systems. - Jian Chen 044; Valerie E. Taylor (HPDC, 1998)

Predicting Application Run Times Using Historical Information. - Warren Smith; Ian T. Foster; Valerie E. Taylor (JSSPP, 1998)

Termination Detection for Parallel Shortest Path Algorithms. - Michelle R. Hribar; Valerie E. Taylor; David E. Boyce (J. Parallel Distributed Comput., 1998)

Guest Editors' Introduction. - Keshab K. Parhi; Valerie E. Taylor (J. VLSI Signal Process., 1998)

Data Management for Large-Scale Scientific Computations in High Performance Distributed Systems. - Alok N. Choudhary; Mahmut T. Kandemir; Harsha S. Nagesh; Jaechun No; Xiaohui Shen; Valerie E. Taylor; Sachin More; Rajeev Thakur (HPDC, 1999)

Using Run-Time Predictions to Estimate Queue Wait Times and Improve Scheduler Performance. - Warren Smith; Valerie E. Taylor; Ian T. Foster (JSSPP, 1999)

Mesh Partitioning for Distributed Systems: Exploring Optimal Number of Partitions with Local and Remote Communication. - Jian Chen 044; Valerie E. Taylor (PP, 1999)

Performance Coupling: A Methodology for Predicting Application Performance Using Kernel Performance. - Jonathan Geisler; Valerie E. Taylor (PP, 1999)

Guest Editor's Introduction. - Valerie E. Taylor (J. VLSI Signal Process., 1999)

Prophesy: An Infrastructure for Analyzing and Modeling the Performance of Parallel and Distributed Applications. - Xingfu Wu; Valerie E. Taylor; Jonathan Geisler; Xin Li; Zhiling Lan; Rick L. Stevens; Mark Hereld; Ivan R. Judson (HPDC, 2000)

Scheduling with Advanced Reservations. - Warren Smith; Ian T. Foster; Valerie E. Taylor (IPDPS, 2000)

APRIL: A Run-Time Library for Tape-Resident Data. - Gokhan Memik; Mahmut T. Kandemir; Alok N. Choudhary; Valerie E. Taylor (IEEE Symposium on Mass Storage Systems, 2000)

A network-computing infrastructure for tool experimentation applied to computer architecture education. - Renato J. O. Figueiredo; José A. B. Fortes; Rudolf Eigenmann; Nirav H. Kapadia; Sumalatha Adabala; José Miguel-Alonso; Valerie E. Taylor; Miron Livny; Luis Vidal; Jan-Jo Chen (WCAE, 2000)

Data management for large-scale scientific computations in high performance distributed systems. - Alok N. Choudhary; Mahmut T. Kandemir; Jaechun No; Gokhan Memik; Xiaohui Shen; Wei-keng Liao; Harsha S. Nagesh; Sachin More; Valerie E. Taylor; Rajeev Thakur; Rick L. Stevens (Clust. Comput., 2000)

ParaPART: Parallel Mesh Partitioning Tool for Distributed Systems. - Jian Chen 044; Valerie E. Taylor (Concurr. Pract. Exp., 2000)

System Buffer Size Requirements: An Application's Perspective. - Xin Li; Valerie E. Taylor (PDCS, 2001)

Dynamic Load Balancing for Structured Adaptive Mesh Refinement Applications. - Zhiling Lan; Valerie E. Taylor; Greg Bryan (ICPP, 2001)

Prophesy: Automating the Modeling Process. - Valerie E. Taylor; Xingfu Wu; Jonathan Geisler; Xin Li; Zhiling Lan; Mark Hereld; Ivan R. Judson; Rick L. Stevens (Active Middleware Services, 2001)

Design and Development of the Prophesy Performance Database for Distributed Scientific Applications. - Xingfu Wu; Valerie E. Taylor; Jonathan Geisler; Xin Li; Zhiling Lan; Rick L. Stevens; Mark Hereld; Ivan R. Judson (PP, 2001)

Balancing Load versus Decreasing Communication: Parameterizing the Tradeoff. - Valerie E. Taylor; Eric J. Schwabe; Bruce K. Holmer; Michelle R. Hribar (J. Parallel Distributed Comput., 2001)

Implementing parallel shortest path for parallel transportation applications. - Michelle R. Hribar; Valerie E. Taylor; David E. Boyce (Parallel Comput., 2001)

I/O Analysis and Optimization for an AMR Cosmology Application. - Jianwei Li; Wei-keng Liao; Alok N. Choudhary; Valerie E. Taylor (CLUSTER, 2002)

Using Kernel Couplings to Predict Parallel Application Performance. - Valerie E. Taylor; Xingfu Wu; Jonathan Geisler; Rick L. Stevens (HPDC, 2002)

Performance Coupling: Case Studies for Improving the Performance of Scientific Applications. - Jonathan Geisler; Valerie E. Taylor (J. Parallel Distributed Comput., 2002)

A novel dynamic load balancing scheme for parallel systems. - Zhiling Lan; Valerie E. Taylor; Greg Bryan (J. Parallel Distributed Comput., 2002)

Women of color in computing. - Valerie E. Taylor (ACM SIGCSE Bull., 2002)

Dynamic load balancing of SAMR applications on distributed systems. - Zhiling Lan; Valerie E. Taylor; Greg Bryan (Sci. Program., 2002)

Mesh Partitioning for Efficient Use of Distributed Systems. - Jian Chen 044; Valerie E. Taylor (IEEE Trans. Parallel Distributed Syst., 2002)

Using Kernel Coupling to Improve the Performance of Multithreaded Applications. - Jonathan Geisler; Valerie E. Taylor; Xingfu Wu; Rick L. Stevens (PDCS, 2003)

Introduction: Performance Analysis and Modeling. - Valerie E. Taylor; Rick L. Stevens (Clust. Comput., 2003)

Exploring cosmology applications on distributed environments. - Zhiling Lan; Valerie E. Taylor; Greg Bryan (Future Gener. Comput. Syst., 2003)

Prophesy: an infrastructure for performance analysis and modeling of parallel and grid applications. - Valerie E. Taylor; Xingfu Wu; Rick L. Stevens (SIGMETRICS Perform. Evaluation Rev., 2003)

Predicting application run times with historical information. - Warren Smith; Ian T. Foster; Valerie E. Taylor (J. Parallel Distributed Comput., 2004)

Performance Prediction-based versus Load-based Site Selection: Quantifying the Difference. - Seung-Hye Jang; Valerie E. Taylor; Xingfu Wu; Mieke Prajugo; Ewa Deelman; Gaurang Mehta; Karan Vahi (PDCS, 2005)

Approaches to Architecture-Aware Parallel Scientific Computation. - James D. Teresco; Joseph E. Flaherty; Scott B. Baden; Jamal Faik; Sébastien Lacour; Manish Parashar; Valerie E. Taylor; Carlos A. Varela; Xingfu Wu; Rick Stevens; Nicholas T. Karonis; Ian T. Foster; et al. (Parallel Processing for Scientific Computing, 2006)

Performance Analysis, Modeling and Prediction of a Parallel Multiblock Lattice Boltzmann Application Using Prophesy System. - Xingfu Wu; Valerie E. Taylor; Shane Garrick; Dazhi Yu; Jacques Richard (CLUSTER, 2006)

A hybrid framework for design and analysis of fault-tolerant architectures. - Debayan Bhaduri; Sandeep K. Shukla; Deji Coker; Valerie E. Taylor; Paul S. Graham; Maya B. Gokhale (DATE, 2006)

DistDLB: Improving cosmology SAMR simulations on distributed computing systems through hierarchical load balancing. - Zhiling Lan; Valerie E. Taylor; Yawei Li (J. Parallel Distributed Comput., 2006)

Performance Analysis of Parallel Visualization Applications and Scientific Applications on an Optical Grid. - Xingfu Wu; Valerie E. Taylor (CW, 2008)

Performance Analysis and Optimization of Parallel Scientific Applications on CMP Cluster Systems. - Xingfu Wu; Valerie E. Taylor; Charles W. Lively; Sameh Sharkawi (ICPP Workshops, 2008)

A Methodology for Developing High Fidelity Communication Models for Large-Scale Applications Targeted on Multicore Systems. - Charles W. Lively; Valerie E. Taylor; Sadaf R. Alam; Jeffrey S. Vetter (SBAC-PAD, 2008)

An OpenMP Approach to Modeling Dynamic Earthquake Rupture Along Geometrically Complex Faults on CMP Systems. - Xingfu Wu; Benchun Duan; Valerie E. Taylor (ICPP Workshops, 2009)

Performance projection of HPC applications using SPEC CFP2006 benchmarks. - Sameh Sharkawi; Don DeSota; Raj Panda; Rajeev Indukuru; Stephen Stevens; Valerie E. Taylor; Xingfu Wu (IPDPS, 2009)

Performance Analysis and Optimization of Parallel Scientific Applications on CMP Clusters. - Xingfu Wu; Valerie E. Taylor; Charles W. Lively; Sameh Sharkawi (Scalable Comput. Pract. Exp., 2009)

Cultivating cultural diversity in information technology. - Valerie E. Taylor (Commun. ACM, 2010)

Performance Modeling of Hybrid MPI/OpenMP Scientific Applications on Large-scale Multicore Cluster Systems. - Xingfu Wu; Valerie E. Taylor (CSE, 2011)

Data trends on minorities and people with disabilities in computing. - Valerie E. Taylor; Richard E. Ladner (Commun. ACM, 2011)

Energy and performance characteristics of different parallel implementations of scientific applications on multicore systems. - Charles W. Lively; Xingfu Wu; Valerie E. Taylor; Shirley Moore; Hung-Ching Chang; Kirk W. Cameron (Int. J. High Perform. Comput. Appl., 2011)

Performance characteristics of hybrid MPI/OpenMP implementations of NAS parallel benchmarks SP and BT on large-scale multicore supercomputers. - Xingfu Wu; Valerie E. Taylor (SIGMETRICS Perform. Evaluation Rev., 2011)

SWAPP: A Framework for Performance Projections of HPC Applications Using Benchmarks. - Sameh Sharkawi; Don DeSota; Raj Panda; Stephen Stevens; Valerie E. Taylor; Xingfu Wu (IPDPS Workshops, 2012)

Performance Characteristics of Hybrid MPI/OpenMP Implementations of NAS Parallel Benchmarks SP and BT on Large-Scale Multicore Clusters. - Xingfu Wu; Valerie E. Taylor (Comput. J., 2012)

Power-aware predictive models of hybrid (MPI/OpenMP) scientific applications on multicore systems. - Charles W. Lively; Xingfu Wu; Valerie E. Taylor; Shirley Moore; Hung-Ching Chang; Chun-Yi Su; Kirk W. Cameron (Comput. Sci. Res. Dev., 2012)

MuMMI: Multiple Metrics Modeling Infrastructure. - Xingfu Wu; Valerie E. Taylor; Charles W. Lively; Hung-Ching Chang; Bo Li 032; Kirk W. Cameron; Daniel Terpstra; Shirley Moore (Parallel Tools Workshop, 2013)

MuMMI: Multiple Metrics Modeling Infrastructure. - Xingfu Wu; Charles W. Lively; Valerie E. Taylor; Hung-Ching Chang; Chun-Yi Su; Kirk W. Cameron; Shirley Moore; Daniel Terpstra; Vincent M. Weaver (SNPD, 2013)

Performance Characteristics of Hybrid MPI/OpenMP Scientific Applications on a Large-Scale Multithreaded BlueGene/Q Supercomputer. - Xingfu Wu; Valerie E. Taylor (SNPD, 2013)

MuMMI: multiple metrics modeling infrastructure for exploring performance and power modeling. - Xingfu Wu; Hung-Ching Chang; Shirley Moore; Valerie E. Taylor; Chun-Yi Su; Daniel Terpstra; Charles W. Lively; Kirk W. Cameron; Chee Wai Lee (XSEDE, 2013)

Performance Characteristics of Hybrid MPI/OpenMP Scientific Applications on a Largescale Multithreaded BlueGene/Q Supercomputer. - Xingfu Wu; Valerie E. Taylor (Int. J. Networked Distributed Comput., 2013)

Performance modeling of hybrid MPI/OpenMP scientific applications on large-scale multicore supercomputers. - Xingfu Wu; Valerie E. Taylor (J. Comput. Syst. Sci., 2013)

SKOPE: a framework for modeling and exploring workload behavior. - Jiayuan Meng; Xingfu Wu; Vitali A. Morozov; Venkatram Vishwanath; Kalyan Kumaran; Valerie E. Taylor (Conf. Computing Frontiers, 2014)

Parallel Optical Flow Processing of 4D Cardiac CT Data on Multicore Clusters. - Xingfu Wu; Guangtai Ding; Valerie E. Taylor (CSE, 2014)

E-AMOM: an energy-aware modeling and optimization methodology for scientific applications. - Charles W. Lively; Valerie E. Taylor; Xingfu Wu; Hung-Ching Chang; Chun-Yi Su; Kirk W. Cameron; Shirley Moore; Daniel Terpstra (Comput. Sci. Res. Dev., 2014)

Transfer student pathways to engineering degrees: A multi-institutional study based in Texas. - Andrea M. Ogilvie; David B. Knight; Arturo A. Fuentes; Maura Borrego; Patricia A. Nava; Valerie E. Taylor (FIE, 2015)

Power and performance characteristics of CORAL Scalable Science Benchmarks on BlueGene/Q Mira. - Xingfu Wu; Valerie E. Taylor (IGSC, 2015)

Utilizing Hardware Performance Counters to Model and Optimize the Energy and Performance of Large Scale Scientific Applications on Power-Aware Supercomputers. - Xingfu Wu; Valerie E. Taylor (IPDPS Workshops, 2016)

Using Performance-Power Modeling to Improve Energy Efficiency of HPC Applications. - Xingfu Wu; Valerie E. Taylor; Jeanine E. Cook; Philip J. Mucci (Computer, 2016)

Center for Minorities and People with Disabilities in Information Technology (CMD-IT). - Valerie E. Taylor (Inroads, 2016)

Performance and Power Characteristics and Optimizations of Hybrid MPI/OpenMP LULESH Miniapps under Various Workloads. - Xingfu Wu; Valerie E. Taylor; Jeanine E. Cook; Tanner Juedeman (E2SC@SC, 2017)

Increasing Women and Underrepresented Minorities in Computing: The Landscape and What You Can Do. - Telle Whitney; Valerie Taylor 001 (Computer, 2018)

Performance, Energy, and Scalability Analysis and Improvement of Parallel Cancer Deep Learning CANDLE Benchmarks. - Xingfu Wu; Valerie E. Taylor; Justin M. Wozniak; Rick Stevens; Thomas S. Brettin; Fangfang Xia (ICPP, 2019)

The New NSF Requirement for Broadening Participation in Computing (BPC) Plans: Community Advice and Resources. - Tracy Camp; Wendy M. DuBow; Diane Levitt; Linda J. Sax; Valerie Taylor 001; Colleen M. Lewis (SIGCSE, 2019)

The ACM Richard Tapia Celebration of Diversity in Computing Conferences, Presented by CMD-IT. - Jerri Barrett; Valerie E. Taylor (Comput. Sci. Eng., 2019)

Toward an End-to-End Auto-tuning Framework in HPC PowerStack. - Xingfu Wu; Aniruddha Marathe; Siddhartha Jana; Ondrej Vysocky; Jophin John; Andrea Bartolini; Lubomir Riha; Michael Gerndt; Valerie Taylor 001; Sridutt Bhalachandra (CLUSTER, 2020)

Increasing Diversity in Computing: A Focus on Retention. - Valerie E. Taylor (SIGCSE, 2020)

Performance and Power Modeling and Prediction Using MuMMI and Ten Machine Learning Methods. - Xingfu Wu; Valerie Taylor 001; Zhiling Lan (CoRR, 2020)

A Dynamic Power Capping Library for HPC Applications. - Sahil Sharma; Zhiling Lan; Xingfu Wu; Valerie Taylor 001 (CLUSTER, 2021)

Performance and Energy Improvement of ECP Proxy App SW4lite under Various Workloads. - Xingfu Wu; Valerie Taylor 001; Zhiling Lan (MCHPC@SC, 2021)

Increasing Diversity in Computing Education: Lesson Learned. - Valerie E. Taylor (SIGCSE, 2021)

Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization (extended version). - Xingfu Wu; Michael Kruse; Prasanna Balaprakash; Hal Finkel; Paul D. Hovland; Valerie Taylor 001; Mary W. Hall (CoRR, 2021)

Autotuning PolyBench benchmarks with LLVM Clang/Polly loop optimization pragmas using Bayesian optimization. - Xingfu Wu; Michael Kruse; Prasanna Balaprakash; Hal Finkel; Paul D. Hovland; Valerie Taylor 001; Mary W. Hall (Concurr. Comput. Pract. Exp., 2022)

Hands-On Computer Science: The Array of Things Experimental Urban Instrument. - Charlie Catlett; Pete Beckman; Nicola J. Ferrier; Michael E. Papka; Rajesh Sankaran; Jeff Solin; Valerie Taylor 001; Douglas Pancoast; Daniel A. Reed (Comput. Sci. Eng., 2022)

Autotuning Apache TVM-based Scientific Applications Using Bayesian Optimization. - Xingfu Wu; Praveen Paramasivam; Valerie Taylor 001 (SC Workshops, 2023)

Utilizing ensemble learning for performance and power modeling and improvement of parallel cancer deep learning CANDLE benchmarks. - Xingfu Wu; Valerie Taylor 001 (Concurr. Comput. Pract. Exp., 2023)

Performance and power modeling and prediction using MuMMI and 10 machine learning methods. - Xingfu Wu; Valerie Taylor 001; Zhiling Lan (Concurr. Comput. Pract. Exp., 2023)

LASSI: An LLM-Based Automated Self-Correcting Pipeline for Translating Parallel Scientific Codes. - Matthew T. Dearing; Yiheng Tao; Xingfu Wu; Zhiling Lan; Valerie Taylor 001 (CLUSTER Workshops, 2024)

LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators. - Krishna Teja Chitty-Venkata; Siddhisanket Raskar; Bharat Kale; Farah Ferdaus; Aditya Tanikanti; Ken Raffenetti; Valerie Taylor 001; Murali Emani; Venkatram Vishwanath (SC Workshops, 2024)

An Autotuning-based Optimization Framework for Mixed-kernel SVM Classifications in Smart Pixel Datasets and Heterojunction Transistors. - Xingfu Wu; Tupendra Oli; ustin H. Qian; Valerie Taylor 001; Mark C. Hersam; Vinod K. Sangwan (CoRR, 2024)

Integrating ytopt and libEnsemble to autotune OpenMC. - Xingfu Wu; John R. Tramm; Jeffrey Larson 001; John-Luke Navarro; Prasanna Balaprakash; Brice Videau; Michael Kruse; Paul D. Hovland; Valerie Taylor 001; Mary W. Hall (Int. J. High Perform. Comput. Appl., 2025)

ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales. - Xingfu Wu; Prasanna Balaprakash; Michael Kruse; Jaehoon Koo; Brice Videau; Paul D. Hovland; Valerie Taylor 001; Brad Geltz; Siddhartha Jana; Mary W. Hall (Concurr. Comput. Pract. Exp., 2025)

Leveraging LLMs to Automate Energy-Aware Refactoring of Parallel Scientific Codes. - Matthew T. Dearing; Yiheng Tao; Xingfu Wu; Zhiling Lan; Valerie Taylor 001 (CoRR, 2025)

Generalizing Scaling Laws for Dense and Sparse Large Language Models. - Md Arafat Hossain; Xingfu Wu; Valerie Taylor 001; Ali Jannesari (CoRR, 2025)

Coordinated Power Management on Heterogeneous Systems. - Zhong Zheng; Zhiling Lan; Xingfu Wu; Valerie E. Taylor; Michael E. Papka (CoRR, 2025)