令人不快 发表于 2025-3-23 13:23:33
High Level Synthesis and Implementation of Cryptographic Algorithm in AHIR Platformription. The existing HLS strategies fails to provide adequate abstraction to the underlying hardware details and thus limits software programmers from designing complex and advanced cipher algorithms. In this paper the method of generating synthesizable Register Transfer Level (RTL) design from alg祖传 发表于 2025-3-23 14:18:22
A Hardware Accelerator for Convolutional Neural Network Using Fast Fourier Transformly consists of convolutional layers, max pooling layers, followed by dense fully connected layers. Convolutional layer is the compute intensive layer in CNNs. In this paper we present FFT (Fast Fourier Transform) based convolution technique for accelerating CNN architecture. Computational complexityCRAB 发表于 2025-3-23 20:31:48
Reconfigurable VLSI-Architecture of Multi-radix Maximum-A-Posteriori Decoder for New Generation of W levels of power consumption. We have designed major internal blocks of MAP decoder using extensive steering logic to support radix-2/4/8 operating modes. These designs enable efficient clock-gating of our decoder for low-power consumption in different operating modes. This decoder-architecture is p改良 发表于 2025-3-23 22:15:53
A Comparative Exploration About Approximate Full Adders for Error Tolerant Applications the Processors are influenced by the speed and power consumption of arithmetic units. It is improved by adopting approximate computing in arithmetic units with acceptable degradation in the output. Approximate computing is an emerging topic in the past decades, it aims to achieve promising design a方便 发表于 2025-3-24 04:45:30
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Optimal Transistor Sizing of Full-Adder Block to Reduce Standby Leakage Poweriques compute optimal transistor sizing for variable operating conditions (temperature, supply voltage) to achieve desirable leakage power and speed for a full-adder circuit. Both techniques use ‘SLEEP’ signal to drive full adder circuit to lower standby mode leakage state without even degrading theAccord 发表于 2025-3-24 11:15:43
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CMOS Implementations of Rectified Linear Activation Functionsible for this success, improved neural network functionalities, and availability of suitable hardware for training large complex networks. Using these types of novel networks and functions, Deep Neural Networks have been shown to be very highly efficient for various classification tasks. As the nex拉开这车床 发表于 2025-3-24 23:09:00
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