Open-Source Cloud-Based Services on EPI Systems

Informazioni relative al progetto

OpenCUBE

ID dell’accordo di sovvenzione: 101092984

DOI 10.3030/101092984

Data della firma CE 2 Dicembre 2022

Data di avvio 1 Gennaio 2023

Data di completamento 31 Dicembre 2025

Finanziato da

• Digital, Industry and Space

Costo totale € 4 259 360,00

Contributo UE € 4 259 360,00

Coordinato da

KUNGLIGA TEKNISKA HOEGSKOLAN
Sweden

Risultati finali

Documents, reports (5)

D4.1-Initial system characterisation and middleware requirements, specification, and design

D4.1: Initial system characterisation and middleware requirements and design. (M12, R, PU). Initial design of the middleware for supporting fabric-attached memory, heterogeneous resources, and high-performance network, prototype implementation and system level characterization results

D3.1- OS and system software requirements, specification, and design

Deliverable 3.1 - OS and system software requirements, specification, and design. (M12, R, PU). Initial design document of the software stack including operating system, system services, and programming environment and tools, and report on the current landscape for the cloud software stack, prototype implementation and benchmarking results

D2.1-Pilot System Architecture Design and Prototype Implementation Report

D2.1 - Pilot System Architecture Design and Prototype Implementation Report. (M12, R, PU).Initial design of the pilot platform including compute node architecture, network architecture, and system architecture and prototype implementation and benchmarking results

D6.1-Plan for dissemination, collaboration, exploitation, and standardisation

D6.1 Plan for dissemination, collaboration, exploitation and standardisation. (M6, R, PU) This deliverable presents the initial dissemination plan including target audiences and activities, and exploitation plan.

D5.1-Definition of demonstrator applications and workflows

D5.1 - Definition of demonstrator applications and workflows. (M12, R, PU). Definition of application workflows and benchmark suites, including baseline expectations and performance.

Pubblicazioni

Conference proceedings (2)

Survey of adaptive containerization architectures for HPC

Autori: Nina Mujkanovic, Juan J. Durillo, Nicolay Hammer, Tiziano Müller
Pubblicato in: SC-W '23: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, 2023
Editore: ACM
DOI: 10.1145/3624062.3624588

A Quantitative Approach for Adopting Disaggregated Memory in HPC Systems

Autori: Jacob Wahlgren; Gabin Schieffer; Maya Gokhale; Ivy Peng
Pubblicato in: International Conference for High Performance Computing, Networking, Storage and Analysis, 2023
Editore: ACM
DOI: 10.1145/3581784.3607108