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Energy-efficient recognition and mining processor using scalable effort design., , , , and . CICC, page 1-4. IEEE, (2013)Quality programmable vector processors for approximate computing., , , , and . MICRO, page 1-12. ACM, (2013)Design of voltage-scalable meta-functions for approximate computing., , , and . DATE, page 950-955. IEEE, (2011)Analysis and characterization of inherent application resilience for approximate computing., , , and . DAC, page 113:1-113:9. ACM, (2013)StoRM: a stochastic recognition and mining processor., , , and . ISLPED, page 39-44. ACM, (2014)Dynamic effort scaling: managing the quality-efficiency tradeoff., , , and . DAC, page 603-608. ACM, (2011)Energy efficient many-core processor for recognition and mining using spin-based memory., , , , and . NANOARCH, page 122-128. IEEE Computer Society, (2011)Approximate computing: An integrated hardware approach., , , , and . ACSSC, page 111-117. IEEE, (2013)Managing the Quality vs. Efficiency Trade-off Using Dynamic Effort Scaling., , , and . ACM Trans. Embedded Comput. Syst., 12 (2s): 90:1-90:23 (2013)Scalable effort hardware design: exploiting algorithmic resilience for energy efficiency., , , , and . DAC, page 555-560. ACM, (2010)