This project focuses on the design and implementation of an open-source RISC-V processor core, targeting low-power embedded systems. It explores custom instruction extensions, SoC integration, and FPGA-based prototyping for educational and industrial applications.
Visit our reference RISC-V project here:
🔗 RISC-V International Project Site
This project focuses on designing and optimizing AI hardware accelerators for deep learning applications. It explores custom architectures for neural network inference, model compression, and efficient deployment on edge devices.
Visit our reference AI accelerator platform here:
🔗 Google TPU Platform
This project focuses on the exploration and simulation of 2D material-based semiconductor devices, such as MoS2 field-effect transistors (FETs). It investigates their electronic properties, scalability, and potential for next-generation low-power and flexible electronics.
Visit our reference research resource here:
🔗 nanoHUB 2D Materials Group
This project focuses on the design and simulation of SiC-based power semiconductor devices, enabling high-efficiency energy conversion in electric vehicles, renewable energy systems, and industrial applications. The project emphasizes thermal performance, switching speed, and ruggedness.
Visit our reference resource here:
🔗 Wolfspeed Silicon Carbide Resource