FUJITSU-MONAKA: Powering AI Workloads with oneDNN, oneDAL, & OpenBLAS Optimization | Intel Software

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Fujitsu aims to deliver a high-performance, energy-efficient Arm-based 2nm CPU for data centers named FUJITSU-MONAKA. This chip will support an open source AI software stack through enablement and tuning of various AI-based frameworks using multiple platform-agnostic software stacks. Dr. Priyanka Sharma, Director of Software Engineering at Fujitsu Research of India and Head of the MONAKA Software R&D Unit, discusses how Fujitsu is collaborating with the Unified Acceleration (UXL) Foundation to accelerate AI workloads on Arm CPUs by utilizing oneDNN and oneDAL libraries, as well as optimizing OpenBLAS math kernels to achieve energy efficiency and sustainability in data centers

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FUJITSU-MONAKA: Powering AI Workloads with oneDNN, oneDAL, & OpenBLAS Optimization | Intel Software




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