HPC-Coder: Modeling Parallel Programs using Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Nichols, Daniel, Marathe, Aniruddha, Menon, Harshitha, Gamblin, Todd, Bhatele, Abhinav |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Performance-Aligned LLMs for Generating Fast Code
by: Nichols, Daniel, et al.
Published: (2024)
by: Nichols, Daniel, et al.
Published: (2024)
LLMs as Packagers of HPC Software
by: Melone, Caetano, et al.
Published: (2025)
by: Melone, Caetano, et al.
Published: (2025)
Can Large Language Models Write Parallel Code?
by: Nichols, Daniel, et al.
Published: (2024)
by: Nichols, Daniel, et al.
Published: (2024)
Optimizing Agentic Language Model Inference via Speculative Tool Calls
by: Nichols, Daniel, et al.
Published: (2025)
by: Nichols, Daniel, et al.
Published: (2025)
HPC-Coder-V2: Studying Code LLMs Across Low-Resource Parallel Languages
by: Chaturvedi, Aman, et al.
Published: (2024)
by: Chaturvedi, Aman, et al.
Published: (2024)
Integrating Performance Tools in Model Reasoning for GPU Kernel Optimization
by: Nichols, Daniel, et al.
Published: (2025)
by: Nichols, Daniel, et al.
Published: (2025)
ParEval-Repo: A Benchmark Suite for Evaluating LLMs with Repository-level HPC Translation Tasks
by: Davis, Joshua H., et al.
Published: (2025)
by: Davis, Joshua H., et al.
Published: (2025)
Can Large Language Models Predict Parallel Code Performance?
by: Bolet, Gregory, et al.
Published: (2025)
by: Bolet, Gregory, et al.
Published: (2025)
Taking GPU Programming Models to Task for Performance Portability
by: Davis, Joshua H., et al.
Published: (2024)
by: Davis, Joshua H., et al.
Published: (2024)
Automated Programmatic Performance Analysis of Parallel Programs
by: Cankur, Onur, et al.
Published: (2024)
by: Cankur, Onur, et al.
Published: (2024)
Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions
by: Teranishi, Keita, et al.
Published: (2025)
by: Teranishi, Keita, et al.
Published: (2025)
Plexus: Taming Billion-edge Graphs with 3D Parallel Full-graph GNN Training
by: Ranjan, Aditya K., et al.
Published: (2025)
by: Ranjan, Aditya K., et al.
Published: (2025)
Usability Evaluation of Cloud for HPC Applications
by: Sochat, Vanessa, et al.
Published: (2025)
by: Sochat, Vanessa, et al.
Published: (2025)
Record-Remix-Replay: Hierarchical GPU Kernel Optimization using Evolutionary Search
by: Nichols, Daniel, et al.
Published: (2026)
by: Nichols, Daniel, et al.
Published: (2026)
Communication-free Sampling and 4D Hybrid Parallelism for Scalable Mini-batch GNN Training
by: Wei, Cunyang, et al.
Published: (2026)
by: Wei, Cunyang, et al.
Published: (2026)
Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems
by: Yang, Haowei, et al.
Published: (2025)
by: Yang, Haowei, et al.
Published: (2025)
A 4D Hybrid Algorithm to Scale Parallel Training to Thousands of GPUs
by: Singh, Siddharth, et al.
Published: (2023)
by: Singh, Siddharth, et al.
Published: (2023)
Mist: Efficient Distributed Training of Large Language Models via Memory-Parallelism Co-Optimization
by: Zhu, Zhanda, et al.
Published: (2025)
by: Zhu, Zhanda, et al.
Published: (2025)
LLM as HPC Expert: Extending RAG Architecture for HPC Data
by: Miyashita, Yusuke, et al.
Published: (2024)
by: Miyashita, Yusuke, et al.
Published: (2024)
The Big Send-off: Scalable and Performant Collectives for Deep Learning
by: Singh, Siddharth, et al.
Published: (2025)
by: Singh, Siddharth, et al.
Published: (2025)
AI Factories: It's time to rethink the Cloud-HPC divide
by: Lopez, Pedro Garcia, et al.
Published: (2025)
by: Lopez, Pedro Garcia, et al.
Published: (2025)
Characterizing Production GPU Workloads using System-wide Telemetry Data
by: Cankur, Onur, et al.
Published: (2025)
by: Cankur, Onur, et al.
Published: (2025)
Survey of HPC in US Research Institutions
by: Shu, Peng, et al.
Published: (2025)
by: Shu, Peng, et al.
Published: (2025)
Understanding and Improving Communication Performance in Multi-node LLM Inference
by: Singhania, Prajwal, et al.
Published: (2025)
by: Singhania, Prajwal, et al.
Published: (2025)
HPAC-ML: A Programming Model for Embedding ML Surrogates in Scientific Applications
by: Fink, Zane, et al.
Published: (2024)
by: Fink, Zane, et al.
Published: (2024)
Block size estimation for data partitioning in HPC applications using machine learning techniques
by: Cantini, Riccardo, et al.
Published: (2022)
by: Cantini, Riccardo, et al.
Published: (2022)
Counting Without Running: Evaluating LLMs' Reasoning About Code Complexity
by: Bolet, Gregory, et al.
Published: (2025)
by: Bolet, Gregory, et al.
Published: (2025)
ML-based Modeling to Predict I/O Performance on Different Storage Sub-systems
by: Xu, Yiheng, et al.
Published: (2023)
by: Xu, Yiheng, et al.
Published: (2023)
Scaling Performance of Large Language Model Pretraining
by: Interrante-Grant, Alexander, et al.
Published: (2025)
by: Interrante-Grant, Alexander, et al.
Published: (2025)
Efficient Multi-Model Orchestration for Self-Hosted Large Language Models
by: Vangala, Bhanu Prakash, et al.
Published: (2025)
by: Vangala, Bhanu Prakash, et al.
Published: (2025)
Hierarchical Autoscaling for Large Language Model Serving with Chiron
by: Patke, Archit, et al.
Published: (2025)
by: Patke, Archit, et al.
Published: (2025)
Evaluating the Efficacy of LLM-Based Reasoning for Multiobjective HPC Job Scheduling
by: Jadhav, Prachi, et al.
Published: (2025)
by: Jadhav, Prachi, et al.
Published: (2025)
Large Language Model Partitioning for Low-Latency Inference at the Edge
by: Kafetzis, Dimitrios, et al.
Published: (2025)
by: Kafetzis, Dimitrios, et al.
Published: (2025)
Equinox: Holistic Fair Scheduling in Serving Large Language Models
by: Wei, Zhixiang, et al.
Published: (2025)
by: Wei, Zhixiang, et al.
Published: (2025)
SPD: Sync-Point Drop for Efficient Tensor Parallelism of Large Language Models
by: Kim, Han-Byul, et al.
Published: (2025)
by: Kim, Han-Byul, et al.
Published: (2025)
Chat AI: A Seamless Slurm-Native Solution for HPC-Based Services
by: Doosthosseini, Ali, et al.
Published: (2024)
by: Doosthosseini, Ali, et al.
Published: (2024)
LLM & HPC:Benchmarking DeepSeek's Performance in High-Performance Computing Tasks
by: Nader, Noujoud, et al.
Published: (2025)
by: Nader, Noujoud, et al.
Published: (2025)
Scalable Runtime Architecture for Data-driven, Hybrid HPC and ML Workflow Applications
by: Merzky, Andre, et al.
Published: (2025)
by: Merzky, Andre, et al.
Published: (2025)
AdaPtis: Reducing Pipeline Bubbles with Adaptive Pipeline Parallelism on Heterogeneous Models
by: Guo, Jihu, et al.
Published: (2025)
by: Guo, Jihu, et al.
Published: (2025)
Scaling Large Language Model Training on Frontier with Low-Bandwidth Partitioning
by: Xu, Lang, et al.
Published: (2025)
by: Xu, Lang, et al.
Published: (2025)
Similar Items
-
Performance-Aligned LLMs for Generating Fast Code
by: Nichols, Daniel, et al.
Published: (2024) -
LLMs as Packagers of HPC Software
by: Melone, Caetano, et al.
Published: (2025) -
Can Large Language Models Write Parallel Code?
by: Nichols, Daniel, et al.
Published: (2024) -
Optimizing Agentic Language Model Inference via Speculative Tool Calls
by: Nichols, Daniel, et al.
Published: (2025) -
HPC-Coder-V2: Studying Code LLMs Across Low-Resource Parallel Languages
by: Chaturvedi, Aman, et al.
Published: (2024)