Cover Image

HPC-Coder-V2: Studying Code LLMs Across Low-Resource Parallel Languages

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chaturvedi, Aman, Nichols, Daniel, Singh, Siddharth, Bhatele, Abhinav
Format:	Preprint
Published:	2024
Subjects:	Distributed, Parallel, and Cluster Computing Machine Learning Software Engineering
Online Access:	Acceder al recurso
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)

HPC-Coder: Modeling Parallel Programs using Large Language Models
by: Nichols, Daniel, et al.
Published: (2023)

Integrating Performance Tools in Model Reasoning for GPU Kernel Optimization
by: Nichols, Daniel, et al.
Published: (2025)

LLMs as Packagers of HPC Software
by: Melone, Caetano, et al.
Published: (2025)

Optimizing Agentic Language Model Inference via Speculative Tool Calls
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)

VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs
by: Hayashi, Shun-ichiro, et al.
Published: (2025)

A Test Taxonomy and Continuous Integration Ecosystem for Dynamic Resource Management in HPC
by: Sandås, Petter, et al.
Published: (2026)

Hydra: Brokering Cloud and HPC Resources to Support the Execution of Heterogeneous Workloads at Scale
by: Alsaadi, Aymen, et al.
Published: (2024)

An Analysis of HPC and Edge Architectures in the Cloud
by: Santillan, Steven, et al.
Published: (2025)

LLM-HPC++: Evaluating LLM-Generated Modern C++ and MPI+OpenMP Codes for Scalable Mandelbrot Set Computation
by: Diehl, Patrick, et al.
Published: (2025)

Addressing Reproducibility Challenges in HPC with Continuous Integration
by: Hayot-Sasson, Valérie, et al.
Published: (2025)

Optimizing Checkpoint-Restart Mechanisms for HPC with DMTCP in Containers at NERSC
by: Timalsina, Madan, et al.
Published: (2024)

Can Large Language Models Write Parallel Code?
by: Nichols, Daniel, et al.
Published: (2024)

Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions
by: Teranishi, Keita, et al.
Published: (2025)

LLM4FaaS: No-Code Application Development using LLMs and FaaS
by: Wang, Minghe, et al.
Published: (2025)

SPES: Towards Optimizing Performance-Resource Trade-Off for Serverless Functions
by: Lee, Cheryl, et al.
Published: (2024)

From Edge to HPC: Investigating Cross-Facility Data Streaming Architectures
by: George, Anjus, et al.
Published: (2025)

CodeAD: Synthesize Code of Rules for Log-based Anomaly Detection with LLMs
by: Huang, Junjie, et al.
Published: (2025)

Leveraging LLMs to Automate Energy-Aware Refactoring of Parallel Scientific Codes
by: Dearing, Matthew T., et al.
Published: (2025)

HPCAgentTester: A Multi-Agent LLM Approach for Enhanced HPC Unit Test Generation
by: Karanjai, Rabimba, et al.
Published: (2025)

Do Large Language Models Understand Performance Optimization?
by: Cui, Bowen, et al.
Published: (2025)

A Large-Scale Exploratory Study on the Proxy Pattern in Ethereum
by: Ebrahimi, Amir M., et al.
Published: (2025)

Cost-Performance Analysis of Cloud-Based Retail Point-of-Sale Systems: A Comparative Study of Google Cloud Platform and Microsoft Azure
by: Pagidoju, Ravi Teja
Published: (2026)

Automated Programmatic Performance Analysis of Parallel Programs
by: Cankur, Onur, et al.
Published: (2024)

Supercharging Federated Learning with Flower and NVIDIA FLARE
by: Roth, Holger R., et al.
Published: (2024)

ExaWorks Software Development Kit: A Robust and Scalable Collection of Interoperable Workflow Technologies
by: Turilli, Matteo, et al.
Published: (2024)

A Survey of Real-Time Support, Analysis, and Advancements in ROS 2
by: Casini, Daniel, et al.
Published: (2025)

Why Does the LLM Stop Computing: An Empirical Study of User-Reported Failures in Open-Source LLMs
by: Yu, Guangba, et al.
Published: (2026)

SeBS-Flow: Benchmarking Serverless Cloud Function Workflows
by: Schmid, Larissa, et al.
Published: (2024)

A Unifying Framework to Enable Artificial Intelligence in High Performance Computing Workflows
by: Domke, Jens, et al.
Published: (2025)

CloudHeatMap: Heatmap-Based Monitoring for Large-Scale Cloud Systems
by: Sohana, Sarah, et al.
Published: (2024)

$μ$OpTime: Statically Reducing the Execution Time of Microbenchmark Suites Using Stability Metrics
by: Japke, Nils, et al.
Published: (2025)

Adaptable TeaStore
by: Bliudze, Simon, et al.
Published: (2024)

Building Castles in the Cloud: Architecting Resilient and Scalable Infrastructure
by: Gundla, Naresh Kumar
Published: (2024)

Histrio: a Serverless Actor System
by: Buttiglieri, Giorgio Natale, et al.
Published: (2024)

GitFarm: Git as a Service for Large-Scale Monorepos
by: Dwivedi, Preetam, et al.
Published: (2026)

Predictive Autoscaling for Node.js on Kubernetes: Lower Latency, Right-Sized Capacity
by: Tymoshenko, Ivan, et al.
Published: (2026)

Efficiently Reproducing Distributed Workflows in Notebook-based Systems
by: Azaz, Talha, et al.
Published: (2026)

AdaptiFlow: An Extensible Framework for Event-Driven Autonomy in Cloud Microservices
by: Ndadji, Brice Arléon Zemtsop, et al.
Published: (2025)