Implementation and performance evaluation of NVDLA based deep learning accelerator hardware

• Main Author: Song, Tin Chen
• Other Authors: Lap-Pui Chau
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2021
• Subjects: Engineering::Electrical and electronic engineering::Microelectronics; Engineering::Electrical and electronic engineering::Computer hardware, software and systems
• Online Access: https://hdl.handle.net/10356/149624
• Institution: Nanyang Technological University

This report shows the steps needed for one to implement a deep Learning hardware accelerator based on NVIDIA DL accelerator NVDLA architecture on high-performance emulation. The simulation platform chosen was Firesim. NVDLA architecture is an industrial-grade opensource hardware accelerator project...