Work

Enabling RDMA and GPUs in Rootless Kubernetes for Accelerated HPC and AI Applications

Year: 2025

Type: conference-paper

Abstract: International audience

Source: HAL (Le Centre pour la Communication Scientifique Directe)

Authors: Jolicoeur, Lise, Sochat, Vanessa, Diakhaté, François, Milroy, Daniel

Institutions: Commissariat à l'Énergie Atomique et aux Énergies Alternatives, CEA DAM Île-de-France, Laboratoire Bordelais de Recherche en Informatique, STORM: Optimisation statique, méthodes d'exécution, Lawrence Livermore National Laboratory

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7080059954

FWCI:

Cites:

Cited by:

Related to: