Article
Efficient Memory Organization for DNN Hardware Accelerator Implementation on PSoC
Author/s | Ríos Navarro, José Antonio
Gutiérrez Galán, Daniel Domínguez Morales, Juan Pedro Piñero-Fuentes, Enrique Durán López, Lourdes Tapiador Morales, Ricardo Domínguez Morales, Manuel Jesús |
Department | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores |
Publication Date | 2021-01 |
Deposit Date | 2021-06-19 |
Published in |
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Abstract | The use of deep learning solutions in different disciplines is increasing and their algorithms are computationally expensive in most cases. For this reason, numerous hardware accelerators have appeared to compute their ... The use of deep learning solutions in different disciplines is increasing and their algorithms are computationally expensive in most cases. For this reason, numerous hardware accelerators have appeared to compute their operations efficiently in parallel, achieving higher performance and lower latency. These algorithms need large amounts of data to feed each of their computing layers, which makes it necessary to efficiently handle the data transfers that feed and collect the information to and from the accelerators. For the implementation of these accelerators, hybrid devices are widely used, which have an embedded computer, where an operating system can be run, and a field-programmable gate array (FPGA), where the accelerator can be deployed. In this work, we present a software API that efficiently organizes the memory, preventing reallocating data from one memory area to another, which improves the native Linux driver with a 85% speed-up and reduces the frame computing time by 28% in a real application. |
Project ID. | PID2019- 105556GB-C33
AEI/10.13039/501100011033 |
Citation | Ríos Navarro, J.A., Gutiérrez Galán, D., Domínguez Morales, J.P., Piñero-Fuentes, E., Durán López, L., Tapiador Morales, R. y Domínguez Morales, M.J. (2021). Efficient Memory Organization for DNN Hardware Accelerator Implementation on PSoC. Electonics, 10 (1), 94-. |
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