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Newly Revealed RISC-V Vector Unit Could Be Used for AI, HPC, GPU Applications

semi-dynamics introduced One of the industry’s first RISC-V vector units, a highly parallel processor used for things like Artificial Intelligence (AI), High Performance Computing (HPC), and graphics processing when equipped with appropriate dedicated IP can be used for . This announcement marks an important milestone in the development of the RISC-V ecosystem.

Semidynamics vector units are fully compatible with the RISC-V vector specification 1.0 and offer a number of flexible additional features that enhance data processing capabilities. A VU consists of multiple “vector cores”, equivalent to AMD, Intel, and Nvidia GPU cores, designed to perform multiple computations simultaneously. Each vector core is equipped with an arithmetic unit that can perform operations such as addition, subtraction, fused multiply-accumulate, division, square root, and logical operations.

The vector cores developed by Semidynamics can be customized to support various data types such as FP64, FP32, FP16, BF16, INT64, INT32, INT16 and INT8, depending on the specific needs of the customer’s application. Customers can also choose between 4, 8, 16, or 32 core options for the number of vector cores embedded in the vector unit, offering a wide range of potential tradeoffs between power and performance areas.

(Image credit: Semidynamics)

Semidynamics’ vector unit features a high-speed network connecting all vector cores to facilitate data shuffling for certain RISC-V instructions. Semidynamics uniquely allows customization of the Vector Register Bit Size (VLEN), offering 2X, 4X, and 8X ratios in addition to the standard 1X. Vector operations take multiple cycles when VLEN is greater than the total data path width (DLEN), which helps manage memory latency and reduce power usage.

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