Abstract

Analog computation leverages Ordinary Differential Equations (ODEs) and Partial Differential Equations (PDEs) for efficient vector- matrix multiplications (VMMs), offering significant energy savings compared to digital computations. The development of analog and mixed-signal benchmarks facilitates the evaluation and synthesis of analog designs, essential for analog-digital co-design exploration and automated architectural design space exploration. Current analog and mixed-signal benchmark suites lack comprehensive and representative examples across various domains and complexities. This limits the ability to effectively assess and utilize analog synthesis tools and circuits. This work introduces a suite of analog benchmarks spanning acoustic, vision, communications, and analog filter systems. These benchmarks feature reconfigurable and customizable parameters, designed to integrate with existing analog circuits and tools. The feasibility of these benchmarks is demonstrated through their synthesis into reconfigurable FPAAs and integrated circuits (ICs). The proposed benchmarks were successfully synthesized into analog circuits, demonstrating their practical applicability. Analog VMMs proved to be approximately 1,000 times more energy-efficient than their digital counterparts. These benchmarks enable thorough evaluation and comparison of analog designs, supporting advancements in analog computation and system design.