eProcessor: European, Extendable, Energy-Efficient, Extreme-Scale, Extensible, Processor Ecosystem
Paper i proceeding, 2023
The eProcessor project aims at creating a RISC-V full stack ecosystem. The eProcessor architecture combines a high-performance out-of-order core with energy-efficient accelerators for vector processing and artificial intelligence with reduced-precision functional units. The design of this architecture follows a hardware/software co-design approach with relevant application use cases from the high-performance computing, bioinformatics and artificial intelligence domains. Two eProcessor prototypes will be developed based on two fabricated eProcessor ASICs integrated into a computer-on-module.
Multicore architecture
European research project
RISC-V
Författare
Lluc Alvarez
Centro Nacional de Supercomputacion
Abraham Ruiz
Centro Nacional de Supercomputacion
Arnau Bigas-Soldevilla
Centro Nacional de Supercomputacion
Pavel Kuroedov
Centro Nacional de Supercomputacion
Alberto Gonzalez
Centro Nacional de Supercomputacion
Hamsika Mahale
Centro Nacional de Supercomputacion
Noe Bustamante
Centro Nacional de Supercomputacion
Albert Aguilera
Centro Nacional de Supercomputacion
Francesco Minervini
Centro Nacional de Supercomputacion
Javier Salamero
Centro Nacional de Supercomputacion
Oscar Palomar
Centro Nacional de Supercomputacion
Vasileios Papaefstathiou
Panepistimio Kritis
A. Psathakis
Panepistimio Kritis
Nikolaos Dimou
Panepistimio Kritis
Michalis Giaourtas
Panepistimio Kritis
Iasonas Mastorakis
Panepistimio Kritis
Georgios Ieronymakis
Panepistimio Kritis
Georgios Michail Matzouranis
Panepistimio Kritis
Vasilis Flouris
Panepistimio Kritis
Nick Kossifidis
Panepistimio Kritis
Manolis Marazakis
Panepistimio Kritis
Bhavishya Goel
Chalmers, Data- och informationsteknik, Datorteknik
Madhavan Manivannan
Chalmers, Data- och informationsteknik, Datorteknik
Ahsen Ejaz
Chalmers, Data- och informationsteknik, Datorteknik
Panagiotis Strikos
Chalmers, Data- och informationsteknik, Datorteknik
Mateo Vázquez Maceiras
Chalmers, Data- och informationsteknik, Datorteknik
Ioannis Sourdis
Chalmers, Data- och informationsteknik, Datorteknik
Pedro Petersen Moura Trancoso
Chalmers, Data- och informationsteknik, Datorteknik
Per Stenström
Chalmers, Data- och informationsteknik, Dator- och nätverkssystem
Jens Hagemeyer
Universität Bielefeld
L. Tigges
Universität Bielefeld
Nils Kucza
Universität Bielefeld
Jean Marc Philippe
Thales Group
Ioannis Papaefstathiou
Exapsys
Proceedings of the 20th ACM International Conference on Computing Frontiers 2023, CF 2023
309-314
9798400701405 (ISBN)
20th ACM International Conference on Computing Frontiers, CF 2023
Bologna, Italy,
Bologna, Italy,
Ämneskategorier
Datorteknik
Datavetenskap (datalogi)
Datorsystem
DOI
10.1145/3587135.3592178