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The continued success of Deep Neural Networks (DNNs) in classification tasks has sparked a trend of accelerating their execution with specialized hardware. While published designs easily give an order of magnitude improvement over general-purpose hardware, few look beyond an initial implementation. This paper presents Minerva, a highly automated co-design(More)
—Deep learning has been popularized by its recent successes on challenging artificial intelligence problems. One of the reasons for its dominance is also an ongoing challenge: the need for immense amounts of computational power. Hardware architects have responded by proposing a wide array of promising ideas, but to date, the majority of the work has focused(More)
A circuit design for a new high speed and Low Power 4-bit Braun Multiplier is presented. The multiplier is implemented by using different power reduction techniques. To design a multiplier it is necessary to design an AND gate and Full Adder circuit using the power reduction techniques is presented. The design uses CMOS digital circuits in order to reduce(More)
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