EPI Consortium members published “FPPU: Design and Implementation of a Pipelined Full Posit Processing Unit” in arXiv.
Here is a link to an open-access version of the article: https://arxiv.org/abs/2308.03425
DOI: https://doi.org/10.48550/arXiv.2308.03425
EPI Consortium members published “VLSI Design and FPGA Implementation of an NTT Hardware Accelerator for Homomorphic SEAL-Embedded Library” in IEEE Access.
Here is a link to an open-access version of the article: https://ieeexplore.ieee.org/document/10182260
DOI: https://doi.org/10.1109/ACCESS.2023.3295245
EPI Consortium members published “A Survey on Attribute-Based Encryption Schemes Suitable for the Internet of Things” in IEEE Internet of Things Journal.
Here is a link to an open-access version of the article: https://ieeexplore.ieee.org/document/9721417/ .
DOI: 10.1109/JIOT.2022.3154039
EPI Consortium members published “Reusable Verification Environment for a RISC-V Vector Accelerator” in DVCON – Design and Verification Conference Europe Proceedings.
Here is a link to an open-access version of the article: https://dvcon-proceedings.org/document/reusable-verification-environment-for-a-risc-v-vector-accelerator/ .
URI: http://hdl.handle.net/2117/386166
JUPITER Exascale Supercomputer, lead customer for SiPearl
Project press release, published on November 8th, 2023, is also available in the news section: https://www.european-processor-initiative.eu/european-processor-initiative-announces-the-successful-bring-up-of-the-epac1-5-acceleration-chip/
Project press release, published on November 6th, 2023, is also available in the news section: https://www.european-processor-initiative.eu/epi-partner-sipearl-will-provide-its-general-purpose-processor-for-europes-first-eurohpc-exascale-supercomputer-jupiter/ .
SiPearl has raised €90m in financing which will allow the commercialisation of Rhea
The project’s Yearly Public Report, Deliverable D28.3, is available here.
EPI Consortium members published “Vitruvius+: An Area-Efficient RISC-V Decoupled Vector Coprocessor for High Performance Computing Applications” in ACM Transactions on Architecture and Code Optimization.
Here is a link to an open-access version of the article: https://dl.acm.org/doi/10.1145/3575861.