System Technology Research & Development Center

In view of the information explosion, innovation of data-centric computing systems is required in order to handle large amounts of data.

Considering new applications and markets, the System Technology Research & Development Center takes charge of R&D of software, hardware, and system technologies, taking account of leading-edge computing and data processing such as storage computing that utilizes storage systems and near-memory computing. From the system perspective, it researches how to make full use of memories and promotes R&D of fundamental technologies related to storage systems and memory systems incorporating high-value-added, next-generation memories. It is also making a concerted effort to develop application technology of AI and machine learning to support optimized and efficient circuit design or memory manufacturing, hardware technology of deep learning, interface technology that connects devices at ultra-high speed, and AI technology itself.

System Technology

Location

  • Suboffice of the Yokohama Technology Campus at the Semiconductor System Technology Center (Kawasaki City, Kanagawa Prefecture, Japan)
  • Yokohama Technology Campus (Yokohama City, Kanagawa Prefecture, Japan)

Technology Topics

HMB (Host Memory Buffer) technology for DRAM-less SSD

HMB (Host Memory Buffer) technology for DRAM-less SSD

Development of high-speed and high-energy-efficiency algorithm and hardware architecture for deep learning accelerator

Development of high-speed and high-energy-efficiency algorithm and hardware architecture for deep learning accelerator

A 25.6Gb/s Interface with Ring Topology for High-Bandwidth and Large-Capacity Storage Systems

A 25.6Gb/s Interface with Ring Topology for High-Bandwidth and Large-Capacity Storage Systems

“KioxiaSort” set a world record in the sort benchmark contest

“KioxiaSort” set a world record in the sort benchmark contest

Network Storage Technology

Network Storage Technology

Demonstration of Database Performance Comparison using XL-FLASH™ aiming at DRAM Replacement

Demonstration of Database Performance Comparison using XL-FLASH™ aiming at DRAM Replacement