Daniel Nichols

Orcid: 0000-0002-3538-6164

According to our database1, Daniel Nichols authored at least 16 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Performance-Aligned LLMs for Generating Fast Code.
CoRR, 2024

Automated Programmatic Performance Analysis of Parallel Programs.
CoRR, 2024

HPC-Coder: Modeling Parallel Programs using Large Language Models.
Proceedings of the ISC High Performance 2024 Research Paper Proceedings (39th International Conference), 2024

Learning to Predict and Improve Build Successes in Package Ecosystems.
Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

Predicting Cross-Architecture Performance of Parallel Programs.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Can Large Language Models Write Parallel Code?
Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024

Relative Performance Prediction Using Few-Shot Learning.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023
Modeling Parallel Programs using Large Language Models.
CoRR, 2023

Porting a Computational Fluid Dynamics Code with AMR to Large-scale GPU Platforms.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022
Resource Utilization Aware Job Scheduling to Mitigate Performance Variability.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

2021
How to Train Your Neural Network: A Comparative Evaluation.
CoRR, 2021

2020
Integrating Deep Learning in Domain Sciences at Exascale.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

2019
MagmaDNN: Accelerated Deep Learning Using MAGMA.
Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

openDIEL: A Parallel Workflow Engine and Data Analytics Framework.
Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

MagmaDNN: Towards High-Performance Data Analytics and Machine Learning for Data-Driven Scientific Computing.
Proceedings of the High Performance Computing, 2019

2018
Analogues of the 3 x + 1 Problem in Polynomial Rings of Characteristic 2.
Exp. Math., 2018


  Loading...