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Third Party CINI - "TEXTAROSSA - Towards EXtreme scale Technologies and Accelerators for euROhpc hw/Sw Supercomputing Applications for exascale" (H2020-JTI-EuroHPC-2019-1)

Progetto
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).
  • Dati Generali
  • Aree Di Ricerca

Dati Generali

Partecipanti (5)

ALDINUCCI Marco   Responsabile scientifico  
BIRKE Robert Renè Maria   Partecipante  
BOSIO Lorenzo   Partecipante  
DONETTI Simone   Partecipante  
RABELLINO Sergio   Partecipante  

Referenti (2)

LO IACONO Cristiano   Amministrativo  
ROCHAS Fabio   Amministrativo  

Dipartimenti coinvolti

INFORMATICA   Principale  

Tipo

H2020 Research and Innovation action

Finanziatore

EUROPEAN COMMISSION
Ente Finanziatore

Partner

Università degli Studi di TORINO

Contributo Totale (assegnato) Ateneo (EURO)

42.980€

Periodo di attività

Aprile 1, 2021 - Marzo 31, 2024

Durata progetto

36 mesi

Aree Di Ricerca

Settori (10)


72.19.09 - Ricerca e sviluppo sperimentale nel campo delle altre scienze naturali e dell'ingegneria

PE6_2 - Computer systems, parallel/distributed systems, sensor networks, embedded systems, cyber-physical systems - (2013)

PE6_3 - Software engineering, operating systems, computer languages - (2013)

PE6_6 - Algorithms, distributed, parallel and network algorithms, algorithmic game theory - (2013)

Settore INF/01 - Informatica

CIBO, AGRICOLTURA e ALLEVAMENTI - Farmacologia Veterinaria

ECONOMIA, AZIENDE E ORGANIZZAZIONI - Sistemi e metodologie per la Qualità

INFORMATICA, AUTOMAZIONE e INTELLIGENZA ARTIFICIALE - Digitalizzazione della Società e della Pubblica Amministrazione

INFORMATICA, AUTOMAZIONE e INTELLIGENZA ARTIFICIALE - Industria X.0

INFORMATICA, AUTOMAZIONE e INTELLIGENZA ARTIFICIALE - Salute e Informatica

Parole chiave (3)

parallel and distributed computing
parallel and distributed systems
software and systems engineering
No Results Found
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