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: 

1. 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 accelera-tors; 

2. implementing new multilevel thermal management and two-phase liquid cooling; 

3. developing improved data movement and storage tools through compression; 

4. ensure secure HPC operation through HW accelerated cryptography; 

5. 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 modeling, and emerging domains such as High Performance Data Analytics (HPDA) and High Performance Artificial Intelligence (HPC-AI). 

The TEXTAROSSA consortium includes: three leading Italian universities (Politecnico di Milano, Università degli studi di Torino and Università di Pisa, Linked Third Parties of CINI), CINECA (Italy, Inkind Third Party of ENEA) and Universitat Politècnica de Catalu-nya (UPC, Spain, Inkind Third Party of BSC).