OpenCUBE: Building an Open Source Cloud Blueprint with EPI Systems

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Peng, Ivy, Schulz, Martin, Haus, Utz-Uwe, Prunty, Craig, Marcuello, Pedro, Danovaro, Emanuele, Schieffer, Gabin, Wahlgren, Jacob, Medeiros, Daniel, Friese, Philipp, Markidis, Stefano
Format: Preprint
Veröffentlicht: 2024
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866909347759521792
author Peng, Ivy
Schulz, Martin
Haus, Utz-Uwe
Prunty, Craig
Marcuello, Pedro
Danovaro, Emanuele
Schieffer, Gabin
Wahlgren, Jacob
Medeiros, Daniel
Friese, Philipp
Markidis, Stefano
author_facet Peng, Ivy
Schulz, Martin
Haus, Utz-Uwe
Prunty, Craig
Marcuello, Pedro
Danovaro, Emanuele
Schieffer, Gabin
Wahlgren, Jacob
Medeiros, Daniel
Friese, Philipp
Markidis, Stefano
contents OpenCUBE aims to develop an open-source full software stack for Cloud computing blueprint deployed on EPI hardware, adaptable to emerging workloads across the computing continuum. OpenCUBE prioritizes energy awareness and utilizes open APIs, Open Source components, advanced SiPearl Rhea processors, and RISC-V accelerator. The project leverages representative workloads, such as cloud-native workloads and workflows of weather forecast data management, molecular docking, and space weather, for evaluation and validation.
format Preprint
id arxiv_https___arxiv_org_abs_2410_10423
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle OpenCUBE: Building an Open Source Cloud Blueprint with EPI Systems
Peng, Ivy
Schulz, Martin
Haus, Utz-Uwe
Prunty, Craig
Marcuello, Pedro
Danovaro, Emanuele
Schieffer, Gabin
Wahlgren, Jacob
Medeiros, Daniel
Friese, Philipp
Markidis, Stefano
Distributed, Parallel, and Cluster Computing
OpenCUBE aims to develop an open-source full software stack for Cloud computing blueprint deployed on EPI hardware, adaptable to emerging workloads across the computing continuum. OpenCUBE prioritizes energy awareness and utilizes open APIs, Open Source components, advanced SiPearl Rhea processors, and RISC-V accelerator. The project leverages representative workloads, such as cloud-native workloads and workflows of weather forecast data management, molecular docking, and space weather, for evaluation and validation.
title OpenCUBE: Building an Open Source Cloud Blueprint with EPI Systems
topic Distributed, Parallel, and Cluster Computing
url https://arxiv.org/abs/2410.10423