Daniel Nichols

31 papers A 6B 3C 3Journal 15Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Performance-Aligned LLMs for Generating Fast HPC Code. IEEE Trans. Parallel Distributed Syst. Daniel Nichols, Pranav Polasam, Harshitha Menon, Aniruddha Marathe, Todd Gamblin, Abhinav Bhatele
2025	C	`conf`	HPC-Coder-v2: Studying Code LLMs Across Low-Resource Parallel Languages. ISC Aman Chaturvedi, Daniel Nichols, Siddharth Singh, Abhinav Bhatele
2025	J	`jnl`	Integrating Performance Tools in Model Reasoning for GPU Kernel Optimization. CoRR Daniel Nichols, Konstantinos Parasyris, Charles F. Jekel, Abhinav Bhatele, Harshitha Menon
2025	J	`jnl`	LLMs as Packagers of HPC Software. CoRR Caetano Melone, Daniel Nichols, Konstantinos Parasyris, Todd Gamblin, Harshitha Menon
2025	C	`conf`	Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions. ISC Keita Teranishi, Harshitha Menon, William F. Godoy, Prasanna Balaprakash, David Bau, Tal Ben-Nun, Abhinav Bhatele, Franz Franchetti, Michael E. Franusich, Todd Gamblin, Giorgis Georgakoudis, Tom Goldstein, Arjun Guha, Steven E. Hahn, Costin Iancu, Zheming Jin, Terry R. Jones, Tze Meng Low, Het Mankad, Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Daniel Nichols, Konstantinos Parasyris, Swaroop Pophale, Pedro Valero-Lara, Jeffrey S. Vetter, Samuel Williams, Aaron R. Young
2025	J	`jnl`	Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions. CoRR Keita Teranishi, Harshitha Menon, William F. Godoy, Prasanna Balaprakash, David Bau, Tal Ben-Nun, Abhinav Bhatele, Franz Franchetti, Michael E. Franusich, Todd Gamblin, Giorgis Georgakoudis, Tom Goldstein, Arjun Guha, Steven E. Hahn, Costin Iancu, Zheming Jin, Terry R. Jones, Tze Meng Low, Het Mankad, Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Daniel Nichols, Konstantinos Parasyris, Swaroop Pophale, Pedro Valero-Lara, Jeffrey S. Vetter, Samuel Williams, Aaron R. Young
2025	J	`jnl`	Modeling Code: Is Text All You Need? CoRR Daniel Nichols, Konstantinos Parasyris, Harshitha Menon, Brian R. Bartoldson, Giorgis Georgakoudis, Tal Ben-Nun, Abhinav Bhatele
2025	J	`jnl`	Optimizing Agentic Language Model Inference via Speculative Tool Calls. CoRR Daniel Nichols, Prajwal Singhania, Charles F. Jekel, Abhinav Bhatele, Harshitha Menon
2025	B	`conf`	ParEval-Repo: A Benchmark Suite for Evaluating LLMs with Repository-level HPC Translation Tasks. ICPP Joshua Hoke Davis, Daniel Nichols, Ishan Khillan, Abhinav Bhatele
2025	J	`jnl`	ParEval-Repo: A Benchmark Suite for Evaluating LLMs with Repository-level HPC Translation Tasks. CoRR Joshua Hoke Davis, Daniel Nichols, Ishan Khillan, Abhinav Bhatele
2025	—	`conf`	The Shortcomings of Code LLMs in Modeling Code Properties. LLM4Code@ICSE Srivishnu Pyda, Daniel Nichols, Abhinav Bhatele
2024	A	`conf`	A Probabilistic Approach To Selecting Build Configurations in Package Managers. SC Daniel Nichols, Harshitha Menon, Todd Gamblin, Abhinav Bhatele
2024	J	`jnl`	Automated Programmatic Performance Analysis of Parallel Programs. CoRR Onur Cankur, Aditya Tomar, Daniel Nichols, Connor Scully-Allison, Katherine E. Isaacs, Abhinav Bhatele
2024	A	`conf`	Can Large Language Models Write Parallel Code? HPDC Daniel Nichols, Joshua Hoke Davis, Zhaojun Xie, Arjun Rajaram, Abhinav Bhatele
2024	J	`jnl`	Can Large Language Models Write Parallel Code? CoRR Daniel Nichols, Joshua Hoke Davis, Zhaojun Xie, Arjun Rajaram, Abhinav Bhatele
2024	J	`jnl`	HPC-Coder-V2: Studying Code LLMs Across Low-Resource Parallel Languages. CoRR Aman Chaturvedi, Daniel Nichols, Siddharth Singh, Abhinav Bhatele
2024	C	`conf`	HPC-Coder: Modeling Parallel Programs using Large Language Models. ISC Daniel Nichols, Aniruddha Marathe, Harshitha Menon, Todd Gamblin, Abhinav Bhatele
2024	A	`conf`	Learning to Predict and Improve Build Successes in Package Ecosystems. MSR Harshitha Menon, Daniel Nichols, Abhinav Bhatele, Todd Gamblin
2024	J	`jnl`	Performance-Aligned LLMs for Generating Fast Code. CoRR Daniel Nichols, Pranav Polasam, Harshitha Menon, Aniruddha Marathe, Todd Gamblin, Abhinav Bhatele
2024	A	`conf`	Predicting Cross-Architecture Performance of Parallel Programs. IPDPS Daniel Nichols, Alexander Movsesyan, Jae-Seung Yeom, Abhik Sarkar, Daniel Milroy, Tapasya Patki, Abhinav Bhatele
2024	B	`conf`	Relative Performance Prediction Using Few-Shot Learning. COMPSAC Arunavo Dey, Aakash Dhakal, Tanzima Z. Islam, Jae-Seung Yeom, Tapasya Patki, Daniel Nichols, Alexander Movsesyan, Abhinav Bhatele
2023	J	`jnl`	Modeling Parallel Programs using Large Language Models. CoRR Daniel Nichols, Aniruddha Marathe, Harshitha Menon, Todd Gamblin, Abhinav Bhatele
2023	A	`conf`	Porting a Computational Fluid Dynamics Code with AMR to Large-scale GPU Platforms. IPDPS Joshua Hoke Davis, Justin Shafner, Daniel Nichols, Nathan Grube, Pino Martin, Abhinav Bhatele
2022	A	`conf`	Resource Utilization Aware Job Scheduling to Mitigate Performance Variability. IPDPS Daniel Nichols, Aniruddha Marathe, Kathleen Shoga, Todd Gamblin, Abhinav Bhatele
2021	J	`jnl`	How to Train Your Neural Network: A Comparative Evaluation. CoRR Shu-Huai Lin, Daniel Nichols, Siddharth Singh, Abhinav Bhatele
2020	B	`conf`	Integrating Deep Learning in Domain Sciences at Exascale. SMC Rick Archibald, Edmond Chow, Eduardo F. D'Azevedo, Jack J. Dongarra, Markus Eisenbach, Rocco Febbo, Florent Lopez, Daniel Nichols, Stanimire Tomov, Kwai Wong, Junqi Yin
2020	J	`jnl`	Integrating Deep Learning in Domain Sciences at Exascale. CoRR Rick Archibald, Edmond Chow, Eduardo F. D'Azevedo, Jack J. Dongarra, Markus Eisenbach, Rocco Febbo, Florent Lopez, Daniel Nichols, Stanimire Tomov, Kwai Wong, Junqi Yin
2019	—	`conf`	MagmaDNN: Accelerated Deep Learning Using MAGMA. PEARC Daniel Nichols, Kwai Wong, Stanimire Tomov, Lucien Ng, Sihan Chen, Alex Gessinger
2019	—	`conf`	MagmaDNN: Towards High-Performance Data Analytics and Machine Learning for Data-Driven Scientific Computing. ISC Workshops Daniel Nichols, Nathalie-Sofia Tomov, Frank Betancourt, Stanimire Tomov, Kwai Wong, Jack J. Dongarra
2019	—	`conf`	openDIEL: A Parallel Workflow Engine and Data Analytics Framework. PEARC Frank Betancourt, Kwai Wong, Efosa Asemota, Quindell Marshall, Daniel Nichols, Stanimire Tomov
2018	J	`jnl`	Analogues of the 3 x + 1 Problem in Polynomial Rings of Characteristic 2. Exp. Math. Daniel Nichols