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 2026

Finanziato da

• Digital, Industry and Space

Costo totale

€ 4 259 360,00

Contributo UE

€ 4 259 360,00

Coordinato da

KUNGLIGA TEKNISKA HOEGSKOLAN
Sweden

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Data Management Plan (2)

D1.1: Data Management Plan

D1.1: Data Management Plan. (M6, DMP, PU) DMP Report for data and software developed in OpenCUBE.

D1.2: updated Data Management Plan

D1.2: updated Data Management Plan. (M18, DMP, PU) updated DMP Report for data and software developed in OpenCUBE.

Documents, reports (7)

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.

D3.2- OS and system software prototype implementation

Deliverable 3.2 - Report on OS and system software prototype implementation. (M24, R, PU).Updated design of the software stack components and updated benchmarking results

D6.2-Report on dissemination, collaboration exploitation, and standardisation and updated plan

D6.2 Report on dissemination, collaboration, exploitation and standardisation / updated plan. (M18, R, PU) This deliverable presents OpenCUBE dissemination, training, exploitation activities, and interaction with and collaboration with EPI as well as the MPI Forum. This deliverable will include an update of the dissemination 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 (7)

Accelerating drug discovery in autodock-gpu with tensor cores

Autori: Gabin Schieffer, Ivy Peng
Pubblicato in: European Conference on Parallel Processing, 2023
Editore: Springer
DOI: 10.1007/978-3-031-39698-4_41

A GPU-Accelerated Molecular Docking Workflow with Kubernetes and Apache Airflow

Autori: Daniel Medeiros, Gabin Schieffer, Jacob Wahlgren, Ivy Peng
Pubblicato in: International Conference on High Performance Computing, 2023
Editore: Springer
DOI: 10.1007/978-3-031-40843-4_15

Autonomy Loops for Monitoring, Operational Data Analytics, Feedback, and Response in HPC Operations

Autori: Boito, Francieli; Brandt, Jim; Cardellini, Valeria; Carns, Philip; Ciorba, Florina M.; Egan, Hilary; Eleliemy, Ahmed; Gentile, Ann; Gruber, Thomas; Hanson, Jeff; Haus, Utz-Uwe; Huck, Kevin; Ilsche, Thomas; Jakobsche, Thomas; Jones, Terry; Karlsson, Sven; Mueen, Abdullah; Ott, Michael; Patki, Tapasya; Peng, Ivy; Raghavan, Krishnan; Simms, Stephen; Shoga, Kathleen; Showerman, Michael; Tiwari, Devesh; Wilde, Torsten; Yamamoto, Keiji
Pubblicato in: https://inria.hal.science/hal-04382088, 2023
Editore: IEEE
DOI: 10.48550/arxiv.2401.16971

Kub: Enabling Elastic HPC Workloads on Containerized Environments

Autori: Daniel Medeiros, Gabin Schieffer, Jacob Wahlgren, Ivy Peng
Pubblicato in: 2023 IEEE 35th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 2023
Editore: IEEE
DOI: 10.1109/SBAC-PAD59825.2023.00031

OpenCUBE: Building an Open Source Cloud Blueprint with EPI Systems

Autori: Ivy Peng, Martin Schultz, Utz-Uwe Haus, Craig Prunty, Pedro Marcuello, Emanuele Danovaro, Gabin Schieffer, Jacob Wahlgren, Daniel Medeiros, Philipp Friese, Stefano Markidis
Pubblicato in: Lecture Notes in Computer Science (Euro-Par 2023), 2023
Editore: Springer
DOI: 10.1007/978-3-031-48803-0_29

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