Design of Novel Analog Compute Paradigms with Ark

September 15, 2023 Β· Declared Dead Β· πŸ› International Conference on Architectural Support for Programming Languages and Operating Systems

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Authors Yu-Neng Wang, Glenn Cowan, Ulrich RΓΌhrmair, Sara Achour arXiv ID 2309.08774 Category cs.PL: Programming Languages Cross-listed cs.ET Citations 3 Venue International Conference on Architectural Support for Programming Languages and Operating Systems Last Checked 3 months ago
Abstract
Previous efforts on reconfigurable analog circuits mostly focused on specialized analog circuits, produced through careful co-design, or on highly reconfigurable, but relatively resource inefficient, accelerators that implement analog compute paradigms. This work deals with an intermediate point in the design space: Specialized reconfigurable circuits for analog compute paradigms. This class of circuits requires new methodologies for performing co-design, as prior techniques are typically highly specialized to conventional circuit classes (e.g., filters, ADCs). In this context, we present Ark, a programming language for describing analog compute paradigms. Ark enables progressive incorporation of analog behaviors into computations, and deploys a validator and dynamical system compiler for verifying and simulating computations. We use Ark to codify the design space for three different exemplary circuit design problems, and demonstrate that Ark helps exploring design trade-offs and evaluating the impact of nonidealities to the computation.
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