Comparison between GPU and FPGA as hardware accelerator

• Main Author: Yang, Lu
• Other Authors: Pramod Kumar Meher
• Format: Final Year Project
• Language: English
• Published: 2014
• Subjects: DRNTU::Engineering::Computer science and engineering::Hardware::Performance and reliability
• Online Access: http://hdl.handle.net/10356/59102
• Institution: Nanyang Technological University

CPU’s performance is not enough to fit today’s needs, such as cloud computing, biomedical research, digital signal processing, and weather forecasting. All of these require a very high level of computation performance and it cannot be provided with CPU alone. The two common ways to speed it up are u...