activity
20202025
most citedHPC-Coder: Modeling Parallel Programs using Large Language Models

45 citations · 46 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2025

Usability Evaluation of Cloud for HPC Applications

Vanessa Sochat, Daniel Milroy, Abhik Sarkar +2

The rise of AI and the economic dominance of cloud computing have created a new nexus of innovation for high performance computing (HPC), which has a long history of driving scient…

cs.DC2024

Data-Driven Analysis to Understand GPU Hardware Resource Usage of Optimizations

Tanzima Z. Islam, Aniruddha Marathe, Holland Schutte +1

With heterogeneous systems, the number of GPUs per chip increases to provide computational capabilities for solving science at a nanoscopic scale. However, low utilization for sing…

cs.DC2024★ 1 cited

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…

cs.DC2023★ 45 cited

HPC-Coder: Modeling Parallel Programs using Large Language Models

Daniel Nichols, Aniruddha Marathe, Harshitha Menon +2

Parallel programs in high performance computing (HPC) continue to grow in complexity and scale in the exascale era. The diversity in hardware and parallel programming models make d…

cs.PF2020

Toward an End-to-End Auto-tuning Framework in HPC PowerStack

Xingfu Wu, Aniruddha Marathe, Siddhartha Jana +7

Efficiently utilizing procured power and optimizing performance of scientific applications under power and energy constraints are challenging. The HPC PowerStack defines a software…