Journal of Embedded Systems & Its Applications ISSN: 3139-2296 (Online)

Authors: Aseem Setia, Ghanshyam Das Gupta

Abstract: Field-Programmable Gate Arrays (FPGAs) have emerged as a pivotal technology for embedded systems in high-performance computing (HPC) applications. Unlike traditional processors, FPGAs provide hardware-level parallelism, configurability, and low-latency processing, making them suitable for computationally intensive tasks. This paper reviews the architecture, design methodologies, and application areas of FPGA-based embedded systems for HPC. It also explores performance comparisons with GPUs and CPUs, the challenges in integration, and emerging trends, such as FPGA-accelerated AI and reconfigurable HPC clusters. The paper concludes with insights into future research directions and design considerations for optimizing FPGA-based embedded systems.

Keywords: FPGA, Embedded Systems, High-Performance Computing, Hardware Acceleration, Reconfigurable Computing, Low-Latency Processing