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2402.02018
Cited By
The Landscape and Challenges of HPC Research and LLMs
3 February 2024
Le Chen
Nesreen K. Ahmed
Akashnil Dutta
Arijit Bhattacharjee
Sixing Yu
Quazi Ishtiaque Mahmud
Waqwoya Abebe
Hung Phan
Aishwarya Sarkar
Branden Butler
N. Hasabnis
Gal Oren
Vy A. Vo
J. P. Muñoz
Ted Willke
Tim Mattson
Ali Jannesari
AI4CE
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Papers citing
"The Landscape and Challenges of HPC Research and LLMs"
17 / 17 papers shown
Title
Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions
K. Teranishi
Harshitha Menon
William F. Godoy
Prasanna Balaprakash
David Bau
...
Swaroop Pophale
Pedro Valero-Lara
Jeffrey S. Vetter
Samuel Williams
Aaron R. Young
28
0
0
13 May 2025
MARCO: A Multi-Agent System for Optimizing HPC Code Generation Using Large Language Models
Asif Rahman
Veljko Cvetkovic
Kathleen Reece
Aidan Walters
Yasir Hassan
Aneesh Tummeti
Bryan Torres
Denise Cooney
Margaret Ellis
Dimitrios S. Nikolopoulos
LLMAG
67
0
0
06 May 2025
Scalable Runtime Architecture for Data-driven, Hybrid HPC and ML Workflow Applications
André Merzky
Mikhail Titov
Matteo Turilli
Ozgur O. Kilic
Tianle Wang
S. Jha
41
0
0
17 Mar 2025
Large Language Models for Code Generation: A Comprehensive Survey of Challenges, Techniques, Evaluation, and Applications
Nam Huynh
Beiyu Lin
LM&MA
75
16
0
03 Mar 2025
LLM as HPC Expert: Extending RAG Architecture for HPC Data
Yusuke Miyashita
Patrick Kin Man Tung
Johan Barthélemy
38
0
0
28 Jan 2025
Can Large Language Model Predict Employee Attrition?
Xiaoye Ma
Weiheng Liu
Changyi Zhao
Liliya R. Tukhvatulina
26
0
0
02 Nov 2024
OMPar: Automatic Parallelization with AI-Driven Source-to-Source Compilation
Tal Kadosh
N. Hasabnis
Prema Soundararajan
Vy A. Vo
Mihai Capota
Nesreen Ahmed
Yuval Pinter
Gal Oren
VLM
28
2
0
23 Sep 2024
Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approach
Yuxuan Chen
Rongpeng Li
Xiaoxue Yu
Zhifeng Zhao
Honggang Zhang
42
9
0
03 Jun 2024
Hybrid Heterogeneous Clusters Can Lower the Energy Consumption of LLM Inference Workloads
Grant Wilkins
Srinivasan Keshav
Richard Mortier
34
9
0
25 Apr 2024
OMPGPT: A Generative Pre-trained Transformer Model for OpenMP
Le Chen
Arijit Bhattacharjee
Nesreen Ahmed
N. Hasabnis
Gal Oren
Vy A. Vo
Ali Jannesari
VLM
29
11
0
28 Jan 2024
Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning
Sixing Yu
J. P. Muñoz
Ali Jannesari
AI4CE
79
7
0
30 Sep 2023
MPI-rical: Data-Driven MPI Distributed Parallelism Assistance with Transformers
Nadav Schneider
Tal Kadosh
N. Hasabnis
Tim Mattson
Yuval Pinter
Gal Oren
30
8
0
16 May 2023
Automatic Generation of Programming Exercises and Code Explanations using Large Language Models
Sami Sarsa
Paul Denny
Arto Hellas
Juho Leinonen
ELM
89
342
0
03 Jun 2022
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
255
4,777
0
24 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
298
3,700
0
11 Feb 2021
Heterogeneous Graph Transformer
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Yizhou Sun
185
1,169
0
03 Mar 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
245
1,817
0
17 Sep 2019
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