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Listar por palabra clave "Data compression"

Mostrando ítems 1-7 de 7

An Aging-Aware GPU Register File Design Based on Data Redundancy

Valero Bresó, Alejandro; Candel-Margaix, Francisco; Suárez-Gracia, Darío; Petit Martí, Salvador Vicente; Sahuquillo Borrás, Julio (Institute of Electrical and Electronics Engineers, 2019-01-01)

[EN] Nowadays, GPUs sit at the forefront of high-performance computing thanks to their massive computational capabilities. Internally, thousands of functional units, architected to be fed by large register files, fuel such ...
Data compression techniques in IoT-enabled wireless body sensor networks: A systematic literature review and research trends for QoS improvement

Nassra, Ihab; Capella Hernández, Juan Vicente (Elsevier, 2023-10)

[EN] The rapid proliferation of Wireless Sensor Networks (WSN) and other linked devices has given rise to several notions that blend the virtual and real worlds. A vision in which billions of intelligent objects are joined ...
Diseño e implementación de un árbol de codificación Huffman en tiempo real en FPGA para la optimización de la compresión de datos del plano de energía del experimento NEXT

Giménez Aparisi, Guillem (Universitat Politècnica de València, 2021-02-18)

[ES] El proyecto consiste en el desarrollo de un circuito digital para la obtención en tiempo real del árbol de códigos Huffman para la compresión de datos del plano de energía del experimento NEXT. El objetivo es la ...
Exploring the use of data compression for accelerating machine learning in the edge with remote virtual graphics processing units

Peñaranda-Cebrián, Cristian; Reaño, Carlos; Silla, Federico (John Wiley & Sons, 2022-10-17)

[EN] Internet of Things (IoT) devices are usually low performance nodes connected by low bandwidth networks. To improve performance in such scenarios, some computations could be done at the edge of the network. However, ...
Low-Power Lossless Data Compression for Wireless Brain Electrophysiology

Cuevas-López, Aarón; Pérez-Montoyo, Elena; López-Madrona, Víctor J.; Canals, Santiago; Moratal, David (MDPI AG, 2022-05)

[EN] Wireless electrophysiology opens important possibilities for neuroscience, especially for recording brain activity in more natural contexts, where exploration and interaction are not restricted by the usual tethered ...
Módulo Hardware de Compresión en Tiempo Real

Rodríguez Ponce, Jorge (Universitat Politècnica de València, 2019-10-09)

[ES] En el desarrollo del proyecto se buscará una correcta realización e implementación de un módulo digital de compresión de datos. Dicho módulo incluirá un algoritmo de compresión considerado óptimo y tendrá como finalidad ...
Warped K-Means: An algorithm to cluster sequentially-distributed data

Leiva Torres, Luis Alberto; Vidal, Enrique (Elsevier, 2013-07-10)

[EN] Many devices generate large amounts of data that follow some sort of sequentiality, e.g., motion sensors, e-pens, eye trackers, etc. and often these data need to be compressed for classification, storage, and/or ...