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Low energy, small area, and high performance can be achieved by employing approximate computing. This session covers the broad range of approximate computing with first three papers on individual high-efficiency approximate adder and multiplier designs to automated optimization strategies for libraries of approximate components that limit the accuracy loss while maximizing efficiency and providing quality guarantees. The next two papers target the emerging area of approximate computing on reconfigurable fabrics, targeting FPGAs and novel coarse-grained reconfigurable architectures with hardened approximate functional units. The final paper focuses on design space exploration to examine the combined impact of multiple approximate units on the output quality.
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