Listar Microelectrónica por tema "Aceleradores de hardware"
Mostrando ítems 1-3 de 3
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Approximate and timing-speculative hardware design for high-performance and energy-efficient video processing
(2021) [Tesis]Since the end of transistor scaling in 2-D appeared on the horizon, innovative circuit design paradigms have been on the rise to go beyond the well-established and ultraconservative exact computing. Many compute-intensive ... -
Energy-efficient recurrent neural network hardware architecture for heart rate estimation based on photoplethysmography
(2020) [Tesis]The increasing power density and the pervasive use of compute-intensive and powerhungry applications demand energy-efficient CMOS design. The quest for energy-efficient systems particularly concerns in wearable devices for ... -
Exploiting virtual layers and reconfigurability for FPGA convolutional neural network accelerators
(2023) [Tesis de maestría]Artificial neural networks (ANN) are a solution for many classification problems, from face recognition to malware detection in computer network packets. With great accuracy, ANN algorithms are computationally expansive, ...