Valerie Taylor

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 7

Top Topics

Optimization Problems

Bayesian Analysis

Open Source Software Development

Monte Carlo Sampling

Top Venues

Concurr. Comput. Pract. Exp.

Publications

Xingfu Wu, Tupendra Oli, ustin H. Qian, Valerie Taylor, Mark C. Hersam, Vinod K. Sangwan
An Autotuning-based Optimization Framework for Mixed-kernel SVM Classifications in Smart Pixel Datasets and Heterojunction Transistors. CoRR (2024)
Matthew T. Dearing, Yiheng Tao, Xingfu Wu, Zhiling Lan, Valerie Taylor
LASSI: An LLM-based Automated Self-Correcting Pipeline for Translating Parallel Scientific Codes. CoRR (2024)
Xingfu Wu, Praveen Paramasivam, Valerie Taylor
Autotuning Apache TVM-based Scientific Applications Using Bayesian Optimization. CoRR (2023)
Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall
Autotuning PolyBench benchmarks with LLVM Clang/Polly loop optimization pragmas using Bayesian optimization. Concurr. Comput. Pract. Exp. 34 (20) (2022)
Sahil Sharma, Zhiling Lan, Xingfu Wu, Valerie Taylor
A Dynamic Power Capping Library for HPC Applications. CLUSTER (2021)
Tracy Camp, Wendy M. DuBow, Diane Levitt, Linda J. Sax, Valerie Taylor, Colleen M. Lewis
The New NSF Requirement for Broadening Participation in Computing (BPC) Plans: Community Advice and Resources. SIGCSE (2019)
Telle Whitney, Valerie Taylor
Increasing Women and Underrepresented Minorities in Computing: The Landscape and What You Can Do. Computer 51 (10) (2018)