This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
As reconfigurable computing hardware and in particular FPGA-based systems-on-chip comprise an increasing number of processor and accelerator cores, supporting sharing and synchroni...
Martin Labrecque, Mark Jeffrey, J. Gregory Steffan
—Recently, high-end reconfigurable computing systems that employ Field-Programmable Gate Arrays (FPGAs) as hardware accelerators for general-purpose processors have been built. T...
New emerging embedded system platforms in the realm of highthroughput multimedia, imaging, and signal processing will consist of multiple microprocessors and reconfigurable compon...
Todor Stefanov, Claudiu Zissulescu, Alexandru Turj...
This work presents an implementation of Neocognitron Neural Network, using a high performance computing architecture based on GPU (Graphics Processing Unit). Neocognitron is an ar...