Descripción del proyecto
Aumento del rendimiento de sistemas informáticos a exaescala
La informática a exaescala es capaz de realizar mil millones de cálculos por segundo, pero aún necesita superar obstáculos tecnológicos que limitan su rendimiento y eficacia energética. Es necesario aumentar la capacidad de computación y permitir la integración perfecta de aceleradores reconfigurables en plataformas de múltiples nodos de informática de alto rendimiento (HPC, por sus siglas en inglés) heterogénea. El objetivo del proyecto TEXTAROSSA, financiado con fondos europeos, es abordar estas limitaciones al emplear un método de diseño conjunto para diseñar y desarrollar un sistema de superordenador eficiente basado en nuevos aceleradores de «hardware», equipos de refrigeración bifásica innovadores, algoritmos avanzados, métodos y productos de «software» para los dominios convencionales de la HPC, así como para dominios de nueva aparición de inteligencia artificial y análisis de datos de alto rendimiento.
Objetivo
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).
Ámbito científico
- 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
Palabras clave
Programa(s)
Régimen de financiación
RIA - Research and Innovation actionCoordinador
00196 Roma
Italia