Titlebook: Applied Reconfigurable Computing. Architectures, Tools, and Applications; 19th International S Francesca Palumbo,Georgios Keramidas,Pedro C

淡紫色花

Towards Secure and Efficient Multi-generation Cellular Communications: Multi-mode SNOW-3G/V ASIC andontinuous progress on generational technologies (3G, 4G, 5G, and more recently 6G). To facilitate smooth deployments on multi-generation environments, communication systems have to be flexible, i.e., being able to support more than one security mechanisms. In this article, two multimode architecture

organic-matrix

Occlusion

On-FPGA Spiking Neural Networks for Multi-variable End-to-End Neural Decodingl decoding. However, to function in real-time on portable devices, these algorithms must adhere to stringent limitations on computational power and memory. In this work, we exploit spiking neural networks (SNNs) within a real-time neural decoding system deployed on a low-end Artix-7 FPGA. The system

演绎

Implementation of a Perception System for Autonomous Vehicles Using a Detection-Segmentation Networked by both high efficiency in recognising obstacles and other environmental elements in different road conditions, real-time capability, and energy efficiency. Achieving such functionality requires an appropriate algorithm and a suitable computing platform. In this paper, we have used the MultiTaskV

Euphonious

Compatriot

Scalable and Energy-Efficient NN Acceleration with GPU-ReRAM Architecturey for researchers. One potential solution is analog ReRAM processing, which outperforms GPU-based approaches in terms of both performance and energy consumption. However, the scalability of ReRAM-based architectures for large-scale NN applications with billions of parameters remains a major challeng

GILD

0302-9743 ottbus, Germany, in September 2023..The 18 full papers presented in this volume were reviewed and selected from numerous submissions. The proceedings also contain 4 short PhD papers. The contributions were organized in topical sections as follows: Design methods and tools; applications; architecture

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PATRI

Anoop Singh,Shaili Srivastava,Deepak Pant by factor 4 without and factor 2 with data transfer time for one million entries. This improvement increases with the amount of data to be processed. Implementing the BLB algorithm on an FPGA as an approximate query processing accelerator offers a promising approach for improving database query processing.

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