30 citations · 33 across the 14 of their papers we have counts for
4 papers · 1 filter
HPC-Coder-V2: Studying Code LLMs Across Low-Resource Parallel Languages
Aman Chaturvedi, Daniel Nichols, Siddharth Singh +1
Large Language Model (LLM) based coding tools have been tremendously successful as software development assistants, yet they are often designed for general purpose programming task…
Performance-Aligned LLMs for Generating Fast Code
Daniel Nichols, Pranav Polasam, Harshitha Menon +3
Optimizing scientific software is a difficult task because codebases are often large and complex, and performance can depend upon several factors including the algorithm, its imple…
Automated Programmatic Performance Analysis of Parallel Programs
Onur Cankur, Aditya Tomar, Daniel Nichols +3
Developing efficient parallel applications is critical to advancing scientific development but requires significant performance analysis and optimization. Performance analysis tool…
Can Large Language Models Write Parallel Code?
Daniel Nichols, Joshua H. Davis, Zhaojun Xie +2
Large language models are increasingly becoming a popular tool for software development. Their ability to model and generate source code has been demonstrated in a variety of conte…