Towards Coarse-Grained Reconfigurable Approximate Computing with CGRAgen
2023 33rd International Conference on Field-Programmable Logic and Applications (FPL)(2023)
Abstract
Modern Edge Computing devices execute applications that must meet strict latency requirements as per traditional standardization activities. Achieving the needed performance implies a need for efficiency in all aspects, thus, flexible solutions are needed. In this Ph.D. project, we address this issue for error-tolerant applications by using Coarse-Grained Reconfigurable Arrays (CGRAs) enriched with Approximate Computing (AxC) features. To do so, we aim to develop a CGRA architecture modeling, mapping, and hardware generation flow complete with AxC hardware primitives and significance analysis.
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Key words
approximate computing,coarse-grained reconfigurable array,computation offloading,mapping
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