:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Pochelu, Pierrick, Cartiaux, Hyacinthe, Schleich, Julien
Format:	Preprint
Published:	2026
Subjects:	Distributed, Parallel, and Cluster Computing Artificial Intelligence
Online Access:	https://arxiv.org/abs/2602.00014
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LLM & HPC:Benchmarking DeepSeek's Performance in High-Performance Computing Tasks
by: Nader, Noujoud, et al.
Published: (2025)

The AI_INFN Platform: Artificial Intelligence Development in the Cloud
by: Anderlini, Lucio, et al.
Published: (2025)

Artificial Intelligence for Cost-Aware Resource Prediction in Big Data Pipelines
by: Goyal, Harshit
Published: (2025)

A Blockchain and Artificial Intelligence based System for Halal Food Traceability
by: Alourani, Abdulla, et al.
Published: (2024)

Isambard-AI: a leadership class supercomputer optimised specifically for Artificial Intelligence
by: McIntosh-Smith, Simon, et al.
Published: (2024)

HPRM: High-Performance Robotic Middleware for Intelligent Autonomous Systems
by: Kwok, Jacky, et al.
Published: (2024)

AI4EOSC: a Federated Cloud Platform for Artificial Intelligence in Scientific Research
by: Heredia, Ignacio, et al.
Published: (2025)

Decentralized Distributed Proximal Policy Optimization (DD-PPO) for High Performance Computing Scheduling on Multi-User Systems
by: Sgambati, Matthew, et al.
Published: (2025)

Blockchain and Artificial Intelligence: Synergies and Conflicts
by: Witt, Leon, et al.
Published: (2024)

Percepta: High Performance Stream Processing at the Edge
by: Sousa, Clarisse, et al.
Published: (2025)

Benchmarking Federated Learning in Edge Computing Environments: A Systematic Review and Performance Evaluation
by: Aribe Jr., Sales, et al.
Published: (2026)

Scalable Artificial Intelligence for Science: Perspectives, Methods and Exemplars
by: Brewer, Wesley, et al.
Published: (2024)

A Review on Building Blocks of Decentralized Artificial Intelligence
by: Kersic, Vid, et al.
Published: (2024)

Scale-up Unlearnable Examples Learning with High-Performance Computing
by: Zhu, Yanfan, et al.
Published: (2025)

DWDP: Distributed Weight Data Parallelism for High-Performance LLM Inference on NVL72
by: Li, Wanqian, et al.
Published: (2026)

KVComp: A High-Performance, LLM-Aware, Lossy Compression Framework for KV Cache
by: Jiang, Bo, et al.
Published: (2025)

High-Performance Parallel Optimization of the Fish School Behaviour on the Setonix Platform Using OpenMP
by: Wang, Haitian, et al.
Published: (2025)

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration
by: Lv, Jiaqi, et al.
Published: (2025)

Envisioning National Resources for Artificial Intelligence Research: NSF Workshop Report
by: Jha, Shantenu, et al.
Published: (2024)

Resilient Byzantine Agreement with Predictions
by: Dallot, Julien, et al.
Published: (2026)

Intelligent Load Balancing in Cloud Computer Systems
by: Sliwko, Leszek
Published: (2025)

Confidential Computing on NVIDIA Hopper GPUs: A Performance Benchmark Study
by: Zhu, Jianwei, et al.
Published: (2024)

Scalable Cloud-Native Architectures for Intelligent PMU Data Processing
by: Chockalingam, Nachiappan, et al.
Published: (2025)

Safactory: A Scalable Agentic Infrastructure for Training Trustworthy Autonomous Intelligence
by: Chen, Xinquan, et al.
Published: (2026)

RLHFless: Serverless Computing for Efficient RLHF
by: Wei, Rui, et al.
Published: (2026)

Intelligent Autonomous Orchestration for Distributed Cloud Resources using Complex-Stability Analysis
by: Shyam, Gopal Krishna, et al.
Published: (2026)

Several Performance Bounds on Decentralized Online Optimization are Highly Conservative and Potentially Misleading
by: Meunier, Erwan, et al.
Published: (2025)

Rethinking Dynamic Networks and Heterogeneous Computing with Automatic Parallelization
by: Wu, Ruilong, et al.
Published: (2025)

An Evaluation of LLMs Inference on Popular Single-board Computers
by: Tung, et al.
Published: (2025)

Dynamic Scheduling Strategies for Resource Optimization in Computing Environments
by: Wang, Xiaoye
Published: (2024)

An AI-Driven Framework for Energy-Efficient Environmental Monitoring in Smart Cities Using Edge Intelligence
by: Liu, Yichen, et al.
Published: (2026)

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms
by: Ji, Cheng, et al.
Published: (2025)

Connecting Large Language Models with Blockchain: Advancing the Evolution of Smart Contracts from Automation to Intelligence
by: Xian, Youquan, et al.
Published: (2024)

Scaling Performance of Large Language Model Pretraining
by: Interrante-Grant, Alexander, et al.
Published: (2025)

Towards an Introspective Dynamic Model of Globally Distributed Computing Infrastructures
by: Kilic, Ozgur O., et al.
Published: (2025)

A Meta-Heuristic Load Balancer for Cloud Computing Systems
by: Sliwko, Leszek, et al.
Published: (2025)

Scaling LLM Test-Time Compute with Mobile NPU on Smartphones
by: Hao, Zixu, et al.
Published: (2025)

Intelligent Resource Allocation Optimization for Cloud Computing via Machine Learning
by: Wang, Yuqing, et al.
Published: (2025)

Research on the Application of Spark Streaming Real-Time Data Analysis System and large language model Intelligent Agents
by: Wang, Jialin, et al.
Published: (2024)

Cloud-Based AI Systems: Leveraging Large Language Models for Intelligent Fault Detection and Autonomous Self-Healing
by: Ji, Cheng, et al.
Published: (2025)