8 Works

Italian Report to the 42nd Cospar Scientific Assembly

Maria Teresa Capria, Livia Giacomini, Eleonora Ferroni, Pietro Ubertini & Davide Coero Borga
The Italian Report to the 42nd COSPAR General Assembly to be held in Pasadena, edited by the National Institute of Astrophysics (INAF),the formal Italian national body that by the law supports the COSPAR activities, with the collaboration of ASI, the Italian Space Agency, and the other stakeholders playing a major role in the Italian scientific space programmes (INFN, CNR, INGV, etc.). This Report summarizes the last two years of space science activity in Italy.

Direct N-body code designed for heterogeneous platforms

David Goz, Luca Tornatore, Sara Bertocco & Giuliano Taffoni
The ExaNeSt H2020 project aims at the design and development of an exascale ready supercomputer with a low energy consumption profile but able to support the most demanding scientific and technical applications. The project will produce a prototype based on hybrid hardware (CPUs+accelerators) implementing a co-design approach where scientific applications requirements are driving the hardware design. Astrophysical codes are playing a fundamental role to validate the exascale platform. We present strategies adopted in order to...

L'Alternanza Scuola Lavoro in INAF a.s. 2016/2017

Livia Giacomini & Marco Ziggiotti
In Italia, tutti gli studenti frequentanti un Istituto di Istruzione Superiore devono per legge effettuare nel corso del triennio finale dei progetti di Alternanza Scuola Lavoro (ASL). L’obbligatorietà dell’ASL riguarda nel 2017/2018 circa 1 milione e mezzo di studenti. Questo documento costituisce la prima analisi globale delle attività didattiche di ASL svolte da INAF nell’anno 2016/2017, per un totale di 35.800 ore per studente erogate nelle 15 sedi coinvolte sul territorio italiano..

INCAS: INtensive Clustered ARM SoC - Cluster Deployment

Sara Bertocco, David Goz, Luca Tornatore & Giuliano Taffoni
The report describes the work done to deploy an Heterogeneous Computing Cluster using CPUs and GPUs integrated on a System on Chip architecture, in the environment of the ExaNeSt H2020 project. After deployment, this cluster will provide a testbed to validate and optimize several HPC codes developed to be run on heterogeneous hardware. The work done includes: a technology watching phase to choose the SoC best fitting our requirements; installation of the Operative System Ubuntu...

NADIR Technical manual

Cristina Knapic & Riccardo Smareglia
Manuale tecnico descrittivo del software di gestione ed archiviazione dati astronomici chiamato New Archiving Distributed InfrastructuRe (NADIR).

Performance of direct N-body code on ARM64 SoC

David Goz, Luca Tornatore, Sara Bertocco & Giuliano Taffoni
The ExaNeSt H2020 project will produce a prototype based on ARM64 CPUs and FPGA-based accelerators implementing a co-design approach where scientific applications requirements are driving the hardware design. We present strategies adopted in order to port our direct N-body code on an ARM SoC cluster, called INCAS, deployed at INAF-OATs. Each computational node is based on 64-bit ARMv8 Cortex-A72/Cortex-A53 core design, powered by the Mali-T864 GPU. We present the strategies to optimize the code and...

Direct N-body code designed for a cluster based on heterogeneous computational nodes

David Goz, Luca Tornatore, Sara Bertocco & Giuliano Taffoni
The ExaNeSt H2020 project is developing an exascale ready prototype based on hybrid hardware (CPUs+accelerators). Astrophysical codes are used to test and validate the exascale platform. At the same time, astrophysical applications must be re-engineered in order to exploit heterogeneous hardware. We present and test the parallel scheme of a state-of-the-art direct N -body code (called ExaHiGPUs) conceived to be run on hybrid architecture.

Performance of direct N-body code on ARM64 SoC

David Goz, Luca Tornatore, Sara Bertocco & Giuliano Taffoni
The ExaNeSt H2020 project will produce a prototype based on ARM64 CPUs and FPGA-based accelerators implementing a co-design approach where scientific applications requirements are driving the hardware design. We present strategies adopted in order to port our direct N-body code on an ARM SoC cluster, called INCAS, deployed at INAF-OATs. Each computational node is based on 64-bit ARMv8 Cortex-A72/Cortex-A53 core design, powered by the Mali-T864 GPU. We present the strategies to optimize the code and...

Registration Year

  • 2018
    8

Resource Types

  • DataPaper
    8

Data Centers

  • Istituto Nazionale di Astrofisica
    8