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| Funder | European Commission |
|---|---|
| Recipient Organization | Agenzia Nazionale Per Le Nuove Tecnologie, L'Energia E Lo Sviluppo Economico Sostenibile |
| Country | Italy |
| Start Date | Apr 01, 2021 |
| End Date | Mar 31, 2024 |
| Duration | 1,095 days |
| Number of Grantees | 16 |
| Roles | Participant; Third Party; Coordinator; Principal Investigator |
| Data Source | European Commission |
| Grant ID | 956831 |
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).
Institut National de Recherche En Informatique Et Automatique; in Quattro Srl; Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev; Universita Degli Studi Di Torino; Instytut Chemii Bioorganicznej Polskiej Akademii Nauk; Agenzia Nazionale Per Le Nuove Tecnologie, L'Energia E Lo Sviluppo Economico Sostenibile; Universita Di Pisa; E 4 Computer Engineering Spa; Consiglio Nazionale Delle Ricerche; Universite de Bordeaux; Bull Sas; Politecnico Di Milano; Barcelona Supercomputing Center Centro Nacional de Supercomputacion; Consorzio Interuniversitario Nazionale Per L'Informatica; Istituto Nazionale Di Fisica Nucleare; Michigan State University
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