Introduction to artificial neural systems
Introduction to artificial neural systems
An efficient concurrent implementation of a neural network algorithm: Research Articles
Concurrency and Computation: Practice & Experience
Complex vs. Intensive in Parallel Computation
ICCGI '06 Proceedings of the International Multi-Conference on Computing in the Global Information Technology
Artificial neural networks: a review of commercial hardware
Engineering Applications of Artificial Intelligence
Guest editorial - Special issue on neural networks hardware implementations
IEEE Transactions on Neural Networks
Membrane computing in connex environment
WMC'07 Proceedings of the 8th international conference on Membrane computing
Fitting FFT onto an energy efficient massively parallel architecture
Proceedings of the Second International Forum on Next-Generation Multicore/Manycore Technologies
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We discuss the parallel implementation of neural networks on a Connex Array™circuit. By estimating the number of memory cycles, we approximate the real performance of the machine. We show how to implement a basic neural learning algorithm. Our preliminary study suggests that the Connex Array™is a good neural network accelerator, due to its high performance for vector operations. The execution time obtained is significant: 5 GCUPS, at 2.5 watts, on less than 1 cm2 area.