A comparison between GPU and FPGA as hardware accelerators

• Main Author: Loh, Jason Keng Sang
• Other Authors: Pramod Kumar Meher
• Format: Final Year Project
• Language: English
• Published: 2016
• Subjects: DRNTU::Engineering
• Online Access: http://hdl.handle.net/10356/66497
• Institution: Nanyang Technological University

In the past decade, FPGAs and GPUs have become increasingly common as hardware accelerators when dealing with computationally intensive tasks. Such applications, which include digital signal processing and cryptography, often involve Single-Instruction-Multiple-Data or other highly parallelizable pr...