FPGA Implementation of Systolic Array Architecture for Matrix Multiplication

Matrix multiplication is a critical operation in numerous computational domains, demanding efficient solutions for accelerated processing. The paper proposes a FPGA-based implementation of a systolic array architecture designed for optimizing matrix multiplication. The architecture capitalizes on FPGA parallelism to execute matrix operations concurrently, significantly reducing computation time compared to sequential methods. The systolic array design takes advantage of FPGA- specific features like pipelining and resource sharing, maximizing hardware resource utilization and achieving high throughput. The parameterizable nature of the design allows adaptability to matrices of varying sizes, enhancing versatility. Furthermore, the paper explores strategies for minimizing data movement and optimizing memory access patterns, contributing to overall efficiency. Extensive experiments and benchmarks are conducted to validate the FPGA-based systolic array’s performance using representative matrices. Results demonstrate substantial speedup and resource efficiency compared to software-based approaches, emphasizing the potential for real-time and energy-efficient matrix multiplication in FPGA-based systems. This paper contributes a practical FPGA implementation of a systolic array architecture for matrix multiplication, showcasing the feasibility and advantages of FPGA technology in accelerating compute intensive operations. The findings have implications for various domains requiring rapid matrix processing, highlighting the potential for efficient and high-performance solutions.