eProcessor

Integrating open-source software and hardware

Institution:

Institution

Research Group:

Computer Architecture for Parallel Paradigms

Researcher/s:

Noé Bustamante

eProcessor

Description:

The eProcessor ecosystem presents a pioneering approach by integrating open-source software (SW) and hardware (HW). It establishes the inaugural fully open-source European full-stack ecosystem, featuring a novel RISC-V CPU paired with diverse accelerators. These accelerators cater to traditional high-performance computing (HPC) tasks and expand into mixed precision workloads, including High-Performance Data Analytics (HPDA), artificial intelligence (AI), machine learning (ML), deep learning (DL), and bioinformatics.

Type of asset:

Service

Category:

Computer Sciences

Problem:

Improve accelerator for HPC.

Solution:

The eProcessor is designed to be extendable through open-source contributions, energy-efficient with low power consumption, capable of extreme-scale performance, suitable for applications in both HPC and embedded systems. Additionally, it is easily extensible, allowing for the straightforward integration of on-chip and/or off-chip components, hence the "e" serving as a versatile wildcard in the eProcessor proposal name.

Aplication areas:

Mainly in HPC applications, HPDA and artificial intelligence.

Novelty:

The novelty of the eProcessor project lies in its holistic integration of open-source software and hardware components to create a fully open-source European full-stack ecosystem. Several key aspects contribute to its uniqueness: RISCV CPU architecture, diverse accelerators, energy efficient.

Protection:

Open-source software and hardware.

Target market:

Research institutions, HPC centers, Government Agencies, etc.

Keywords:

RISC-V, HPC, HPDA, AI, ML, DL, bioinformatics.

TRL: 5

CRL: N/A

BRL: N/A

IPRL: N/A

TmRL: N/A

FRL: N/A

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