Board Member and CTO Dohyun Kim's Paper Accepted in IEEE Access

A paper by our Board Member and CTO, Dohyun Kim, has been accepted in IEEE Access.

• Dohyun Kim and Yasuhiko Nakashima,
  "Optimizing Matrix-Vector Operations With CGLA for High-Performance Approximate k-NN Search"

In vector search scenarios, this research achieves acceleration by pre-storing the target vectors in the hardware's internal memory, reducing the loading time for subsequent vector accesses.

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Our company is home to researchers specializing in computational efficiency, an essential factor for the advancement of the AI field.

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