OCCAM: a flexible, multi-purpose and extendable HPC cluster
Marco Aldinucci, Stefano Bagnasco, Stefano Lusso, Paolo Pasteris,, Sergio Rabellino, Sara Vallero

TL;DR
OCCAM is a versatile, extendable HPC cluster designed for diverse scientific computing needs, supporting research and development in computational technologies with flexible resource management and performance characterization.
Contribution
The paper introduces the design, architecture, and resource management model of OCCAM, a flexible HPC cluster tailored for multiple scientific and technological applications.
Findings
Performance characterized by synthetic benchmarks
Supported diverse scientific use cases
Demonstrated reconfigurability and extendability
Abstract
The Open Computing Cluster for Advanced data Manipulation (OCCAM) is a multi-purpose flexible HPC cluster designed and operated by a collaboration between the University of Torino and the Sezione di Torino of the Istituto Nazionale di Fisica Nucleare. It is aimed at providing a flexible, reconfigurable and extendable infrastructure to cater to a wide range of different scientific computing use cases, including ones from solid-state chemistry, high-energy physics, computer science, big data analytics, computational biology, genomics and many others. Furthermore, it will serve as a platform for R&D activities on computational technologies themselves, with topics ranging from GPU acceleration to Cloud Computing technologies. A heterogeneous and reconfigurable system like this poses a number of challenges related to the frequency at which heterogeneous hardware resources might change their…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
