Resarch

Research Area

We are pursuing various research on highly efficient next-generation computers, such as custom computing employing FPGA and domain-specific hardware, algorithm/hardware co-design for machine learning, and high-level synthesis compilers for a productive hardware design environment. We are also pursuing software research on compilers, programming models, and frameworks for user/programmer-friendly computers.

Recent Research Projects

Federated Learning for Dynamic and Diverse Environments

Domain-Specific Architecture and Machine Learning Accelerator

Computer Architecture

Hardware Design Technology and Compiler