oneDAL Arm SVE Enablement for Accelerated AI-ML Computing with FUJITSU-MONAKA

Fujitsu aims to revolutionise datacentre operations by offering a high-performance, energy-efficient Arm-based CPU, "FUJITSU-MONAKA," targeted for release in 2027. To achieve this goal, Fujitsu is focusing on application performance, ease of use, and open-source software. I will introduce the following contributions made to accelerate AI-ML algorithms by leveraging the Data Analytics Library (oneDAL) on the Arm architecture: 1) Fujitsu's efforts have led to the successful porting of oneDAL on Arm, leveraging SVE (Scalable Vector Extension) and porting enhancements with open-source optimised compute kernels from OpenBLAS. 2) This work resulted in notable performance gains of up to 40x speedup across multiple AI-ML algorithms, demonstrating the viability of Arm-based solutions for AI-ML workloads in datacentres. We acknowledge the NEDO Project “Technology Development of the Next Generation Green Data Centre” for the “Green Innovation Fund Project/Construction of Next Generation Digital Infrastructure." NEDO is the “New Energy and Industrial Technology Development Organisation," a national research and development agency in Japan. This presentation is based on results obtained from a project, JPNP21029, subsidised by the New Energy and Industrial Technology Development Organisation (NEDO).

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