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Overcoming the power wall by exploiting inexactness and emerging COTS architectural features: Trading precision for improving application quality.

, , , , , , , and . SoCC, page 241-246. IEEE, (2016)

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Design of energy-efficient discrete cosine transform using pruned arithmetic circuits., , and . ISCAS, page 341-344. IEEE, (2016)Energy-efficient inexact speculative adder with high performance and accuracy control., , and . ISCAS, page 45-48. IEEE, (2015)Overcoming the power wall by exploiting inexactness and emerging COTS architectural features: Trading precision for improving application quality., , , , , , , and . SoCC, page 241-246. IEEE, (2016)Designing inexact systems efficiently using elimination heuristics., , , and . DATE, page 758-763. ACM, (2015)Design and Applications of Approximate Circuits by Gate-Level Pruning., , , and . IEEE Trans. Very Large Scale Integr. Syst., 25 (5): 1694-1702 (2017)A low-power carry cut-back approximate adder with fixed-point implementation and floating-point precision., , and . DAC, page 127:1-127:6. ACM, (2016)Near/Sub-Threshold Circuits and Approximate Computing: The Perfect Combination for Ultra-Low-Power Systems., , and . ISVLSI, page 476-480. IEEE Computer Society, (2015)Opportunities for energy efficient computing: a study of inexact general purpose processors for high-performance and big-data applications., , , , , , , and . DATE, page 764-769. ACM, (2015)Automatic generation of inexact digital circuits by gate-level pruning., , , and . ISCAS, page 173-176. IEEE, (2015)Energy-efficient digital design through inexact and approximate arithmetic circuits., , and . NEWCAS, page 1-4. IEEE, (2015)