FPGA or GPU? Analyzing Comparative Research for Application-Specific Guidance

• Published in: Proceedings of IEEE Southeastcon pp. 1258 - 1263
• Main Authors: Purkayastha, Arnab A, Tharwani, Jay, Aggarwal, Shobhit
• Format: Conference Proceeding
• Language: English
• Published: IEEE 22.03.2025
• Subjects: Deep Learning; Energy efficiency; Field programmable gate arrays; FPGA; GPU; Graphics processing units; Hardware acceleration; Hardware Accelerators; High performance computing; Logic gates; Low latency communication; Memory management; Navigation; Pipelines; Programmability

The growing complexity of computational workloads has amplified the need for efficient and specialized hardware accelerators. Field Programmable Gate Arrays (FPGAs) and Graphics Processing Units (GPUs) have emerged as prominent solutions, each excelling in specific domains. Although there is substan...