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Launch of the New Horizon Europe Project SYCLOPS

8 leading European organisations join forces to bring together RISC-V and SYCL standards to demonstrate ground-breaking advances in scalability of extreme data analytics via fully-open AI acceleration

www.syclops.org/, May. 10, 2023 – 

The wide-spread adoption of AI has resulted in a market for novel hardware accelerators that can efficiently process AI workloads. Unfortunately, all popular AI accelerators today use proprietary hardware–software stacks, leading to a monopolization of the acceleration market by a few large industry players.

Eight leading European organizations have joined in an effort to break this monopoly via Horizon Europe project SYCLOPS (Scaling extreme analYtics with Cross-architecture acceleration based on Open Standards). The vision of SYCLOPS is to democratize 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 demonstrate ground-breaking advances in performance and scalability of extreme data analytics using a standards-based, fully-open, AI acceleration approach.

The project kicked off its activities in January 2023 with an online meeting, where all partners took the floor to present their ambitious plans to make the project a success. SYCLOPS brings together consortium partners with expertise in several fields (computer architecture, programming languages, systems and runtimes, Big Data, High- Performance Computing) with the aim of making groundbreaking advances over state-of-the-art in AI acceleration along three axes: (i) infrastructure tools for simple, fast, cost-efficient customization of RISC-V accelerators, (ii) platform tools (compiler, runtime, interpreter) for SYCL-based cross-architecture programming, (iii) application tools (parallel algorithms, profiling and porting tools) for cross-architecture AI and analytics acceleration.

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