Scaling extreme analYtics with Cross-architecture acceLeration based on OPen Standardsbroad
SYCLOPS · Horizon Europe grant · 2023-01-01–2025-12-31
EC contribution
Total cost
Beneficiaries
About the data
Source: CORDIS (official EU open data), Horizon Europe. Framework HORIZON · call HORIZON-CL4-2022-DATA-01 · scheme HORIZON-RIA · topic HORIZON-CL4-2022-DATA-01-05. CORDIS record →
Objective
The wide-spread adoption of AI and analytics has resulted in a rapidly expanding market for novel hardware accelerators that can provide energy-efficient scaling of training and inference tasks at both the cloud and edge. Unfortunately, all popular solutions AI acceleration solutions today use proprietary, closed hardware—software stacks, leading to a monopolization of the AI acceleration market by a few large industry players. The vision of SYCLOPS project is to enable better solutions for AI/data mining for extremely large and diverse data by democratizing AI acceleration using open standards, and enabling a healthy, competitive, innovation-driven ecosystem for Europe and beyond. This vision relies on the convergence of two important trends in the industry: (i) the standardization and adoption of RISC-V, a free, open Instruction Set Architecture (ISA), for AI and analytics acceleration, and (ii) the emergence and growth of SYCL as a cross-vendor, cross-architecture, data parallel programming model for all types of accelerators, including RISC-V. The goal of project SYCLOPS is to bring together these standards for the first time in order to (i) demonstrate ground-breaking advances in performance and scalability of extreme data analytics using a standards-based, fully-open, AI acceleration approach and (ii) enable the development of inter-operable (open and vendor neutral interfaces/APIs), trustworthy (verifiable and standards-based hardware/software), and green (via application-specific processor customization) AI systems. In doing so, we will use the experience gained in SYCLOPS to contribute back to SYCL and RISC-V standards and foster links to respective academic, industrial and innovator communities (RISC-V foundation, EPI, Khronos, ISO C++). Bringing together the two standards enables codesign in both standards, which in turn, will enable a broader AI accelerator design space, and a richer ecosystem of solutions.
Beneficiaries (8)
| Organisation | Country | Role | EC contribution | SME |
|---|---|---|---|---|
| EURECOM GIE | FR | coordinator | €637,216 | |
| HIRO MICRODATACENTERS B.V. | NL | participant | €821,250 | Yes |
| ORGANISATION EUROPEENNE POUR LA RECHERCHE NUCLEAIRE | CH | participant | €728,375 | |
| CODASIP S R O | CZ | participant | €530,750 | Yes |
| RUPRECHT-KARLS-UNIVERSITAET HEIDELBERG | DE | participant | €518,082 | |
| INESC ID INSTITUTO DE ENGENHARIADE SISTEMAS E COMPUTADORES INVESTIGACAO E DESENVOLVIMENTO EM LISBOA | PT | participant | €515,000 | |
| ACCELOM | FR | participant | €340,000 | Yes |
| CODEPLAY SOFTWARE LIMITED | UK | associatedPartner | — | Yes |
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