Valerie Taylor

30 papers A 1C 2Journal 22Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Generalizing Scaling Laws for Dense and Sparse Large Language Models. CoRR Md Arafat Hossain, Xingfu Wu, Valerie Taylor, Ali Jannesari
2025	J	`jnl`	Integrating ytopt and libEnsemble to autotune OpenMC. Int. J. High Perform. Comput. Appl. Xingfu Wu, John R. Tramm, Jeffrey Larson, John-Luke Navarro, Prasanna Balaprakash, Brice Videau, Michael Kruse, Paul D. Hovland, Valerie Taylor, Mary W. Hall
2025	J	`jnl`	Leveraging LLMs to Automate Energy-Aware Refactoring of Parallel Scientific Codes. CoRR Matthew T. Dearing, Yiheng Tao, Xingfu Wu, Zhiling Lan, Valerie Taylor
2025	J	`jnl`	Report of the 2025 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science. CoRR Lois Curfman McInnes, Dorian Arnold, Prasanna Balaprakash, Mike Bernhardt, Beth Cerny, Anshu Dubey, Roscoe Giles, Denice Ward Hood, Mary Ann E. Leung, Vanessa Lopez-Marrero, Paul Messina, Olivia B. Newton, Chris Oehmen, Stefan M. Wild, James M. Willenbring, Lou Woodley, Tony Baylis, David E. Bernholdt, Chris Camano, Johanna Cohoon, Charles Ferenbaugh, Stephen M. Fiore, Sandra Gesing, Diego Gómez-Zará, James Howison, Tanzima Z. Islam, David Kepczynski, Charles Lively, Harshitha Menon, Bronson Messer, Marieme Ngom, Umesh Paliath, Michael E. Papka, Irene Qualters, Elaine M. Raybourn, Katherine Riley, Paulina Rodriguez, Damian W. I. Rouson, Michelle Schwalbe, Sudip K. Seal, Ozge Surer, Valerie Taylor, Lingfei Wu
2025	J	`jnl`	Robust interpretation of electrochemical impedance spectra using numerical complex analysis. CoRR Jithin D. George, Willa Brenneis, Vinod K. Sangwan, Dilara Meli, Heather Kurtz, Jeffrey Richards, Lincoln J. Lauhon, Jonathan Rivnay, Mark C. Hersam, Jeffrey Lopez, Maria K. Y. Chan, Valerie Taylor
2025	J	`jnl`	ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales. Concurr. Comput. Pract. Exp. Xingfu Wu, Prasanna Balaprakash, Michael Kruse, Jaehoon Koo, Brice Videau, Paul D. Hovland, Valerie Taylor, Brad Geltz, Siddhartha Jana, Mary W. Hall
2024	J	`jnl`	An Autotuning-based Optimization Framework for Mixed-kernel SVM Classifications in Smart Pixel Datasets and Heterojunction Transistors. CoRR Xingfu Wu, Tupendra Oli, ustin H. Qian, Valerie Taylor, Mark C. Hersam, Vinod K. Sangwan
2024	J	`jnl`	Integrating ytopt and libEnsemble to Autotune OpenMC. CoRR Xingfu Wu, John R. Tramm, Jeffrey Larson, John-Luke Navarro, Prasanna Balaprakash, Brice Videau, Michael Kruse, Paul D. Hovland, Valerie Taylor, Mary W. Hall
2024	—	`conf`	LASSI: An LLM-Based Automated Self-Correcting Pipeline for Translating Parallel Scientific Codes. CLUSTER Workshops Matthew T. Dearing, Yiheng Tao, Xingfu Wu, Zhiling Lan, Valerie Taylor
2024	J	`jnl`	LASSI: An LLM-based Automated Self-Correcting Pipeline for Translating Parallel Scientific Codes. CoRR Matthew T. Dearing, Yiheng Tao, Xingfu Wu, Zhiling Lan, Valerie Taylor
2024	—	`conf`	LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators. SC Workshops Krishna Teja Chitty-Venkata, Siddhisanket Raskar, Bharat Kale, Farah Ferdaus, Aditya Tanikanti, Ken Raffenetti, Valerie Taylor, Murali Emani, Venkatram Vishwanath
2024	J	`jnl`	LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators. CoRR Krishna Teja Chitty-Venkata, Siddhisanket Raskar, Bharat Kale, Farah Ferdaus, Aditya Tanikanti, Ken Raffenetti, Valerie Taylor, Murali Emani, Venkatram Vishwanath
2023	—	`conf`	Autotuning Apache TVM-based Scientific Applications Using Bayesian Optimization. SC Workshops Xingfu Wu, Praveen Paramasivam, Valerie Taylor
2023	J	`jnl`	Autotuning Apache TVM-based Scientific Applications Using Bayesian Optimization. CoRR Xingfu Wu, Praveen Paramasivam, Valerie Taylor
2023	J	`jnl`	Performance and power modeling and prediction using MuMMI and 10 machine learning methods. Concurr. Comput. Pract. Exp. Xingfu Wu, Valerie Taylor, Zhiling Lan
2023	J	`jnl`	Utilizing ensemble learning for performance and power modeling and improvement of parallel cancer deep learning CANDLE benchmarks. Concurr. Comput. Pract. Exp. Xingfu Wu, Valerie Taylor
2023	J	`jnl`	ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales. CoRR Xingfu Wu, Prasanna Balaprakash, Michael Kruse, Jaehoon Koo, Brice Videau, Paul D. Hovland, Valerie Taylor, Brad Geltz, Siddhartha Jana, Mary W. Hall
2022	J	`jnl`	Autotuning PolyBench benchmarks with LLVM Clang/Polly loop optimization pragmas using Bayesian optimization. Concurr. Comput. Pract. Exp. Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall
2022	J	`jnl`	Hands-On Computer Science: The Array of Things Experimental Urban Instrument. Comput. Sci. Eng. Charlie Catlett, Pete Beckman, Nicola J. Ferrier, Michael E. Papka, Rajesh Sankaran, Jeff Solin, Valerie Taylor, Douglas Pancoast, Daniel A. Reed
2021	C	`conf`	A Dynamic Power Capping Library for HPC Applications. CLUSTER Sahil Sharma, Zhiling Lan, Xingfu Wu, Valerie Taylor
2021	J	`jnl`	Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization (extended version). CoRR Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall
2021	—	`conf`	Performance and Energy Improvement of ECP Proxy App SW4lite under Various Workloads. MCHPC@SC Xingfu Wu, Valerie Taylor, Zhiling Lan
2020	—	`conf`	Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization. PMBS@SC Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall
2020	J	`jnl`	Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization. CoRR Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall
2020	J	`jnl`	Performance and Power Modeling and Prediction Using MuMMI and Ten Machine Learning Methods. CoRR Xingfu Wu, Valerie Taylor, Zhiling Lan
2020	C	`conf`	Toward an End-to-End Auto-tuning Framework in HPC PowerStack. CLUSTER Xingfu Wu, Aniruddha Marathe, Siddhartha Jana, Ondrej Vysocky, Jophin John, Andrea Bartolini, Lubomir Riha, Michael Gerndt, Valerie Taylor, Sridutt Bhalachandra
2020	J	`jnl`	Toward an End-to-End Auto-tuning Framework in HPC PowerStack. CoRR Xingfu Wu, Aniruddha Marathe, Siddhartha Jana, Ondrej Vysocky, Jophin John, Andrea Bartolini, Lubomir Riha, Michael Gerndt, Valerie Taylor, Sridutt Bhalachandra
2020	J	`jnl`	Utilizing Ensemble Learning for Performance and Power Modeling and Improvement of Parallel Cancer Deep Learning CANDLE Benchmarks. CoRR Xingfu Wu, Valerie Taylor
2019	A	`conf`	The New NSF Requirement for Broadening Participation in Computing (BPC) Plans: Community Advice and Resources. SIGCSE Tracy Camp, Wendy M. DuBow, Diane Levitt, Linda J. Sax, Valerie Taylor, Colleen M. Lewis
2018	J	`jnl`	Increasing Women and Underrepresented Minorities in Computing: The Landscape and What You Can Do. Computer Telle Whitney, Valerie Taylor