Descrizione del progetto
Aumento delle prestazioni per i sistemi di calcolo a esascala
Capace di eseguire un miliardo di calcoli al secondo, il calcolo a esascala deve ancora superare le lacune tecnologiche che limitano le prestazioni e l’efficienza energetica. È necessario aumentare la capacità di calcolo e consentire l’integrazione uniforme di acceleratori riconfigurabili in piattaforme multinodo eterogenee di calcolo ad alte prestazioni (HPC). Il progetto TEXTAROSSA, finanziato dall’UE, intende colmare queste lacune applicando un approccio di coprogettazione volto a elaborare e sviluppare un efficiente sistema di supercomputer basato su nuovi acceleratori hardware, innovative apparecchiature di raffreddamento a due fasi, algoritmi avanzati, metodi e prodotti software per i settori HPC tradizionali nonché per i settori emergenti dell’intelligenza artificiale e dell’analisi dei dati ad alte prestazioni.
Obiettivo
To achieve high performance and high energy efficiency on near-future exascale computing systems, a technology gap needs to be bridged: increase efficiency of computation with extreme efficiency in HW and new arithmetics, as well as providing methods and tools for seamless integration of reconfigurable accelerators in heterogeneous HPC multi-node platforms. TEXTAROSSA aims at tackling this gap through applying a co-design approach to heterogeneous HPC solutions, supported by the integration and extension of IPs, programming models and tools derived from European research projects, led by TEXTAROSSA partners. The main directions for innovation are towards: i) enabling mixed-precision computing, through the definition of IPs, libraries, and compilers supporting novel data types (including Posits), used also to boost the performance of AI accelerators; ii) implementing new multilevel thermal management and two-phase liquid cooling; iii) developing improved data movement and storage tools through compression; iv) ensure secure HPC operation through HW accelerated cryptography; v) providing RISC-V based IP for fast task scheduling and IPs for low-latency intra/inter-node communication. These technologies will be tested on the Integrated Development Vehicles mirroring and extending the European Processor Initiative ARM64-based architecture, and on an OpenSequana testbed. To drive the technology development and assess the impact of the proposed innovations TEXTAROSSA will use a selected but representative number of HPC, HPDA and AI demonstrators covering challenging HPC domains such as general-purpose numerical kernels, High Energy Physics (HEP), Oil & Gas, climate modelling, and emerging domains such as High Performance Data Analytics (HPDA) and High Performance Artificial Intelligence (HPC-AI).
Campo scientifico
- natural sciencescomputer and information sciencesartificial intelligence
- natural sciencescomputer and information sciencescomputer securitycryptography
- natural sciencesmathematicspure mathematicsarithmetics
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcomputer hardwaresupercomputers
- natural sciencesphysical sciencestheoretical physics
Parole chiave
Programma(i)
Meccanismo di finanziamento
RIA - Research and Innovation actionCoordinatore
00196 Roma
Italia