Short vector (SIMD) instructions are useful in signal processing, multimedia, and scientific applications. They offer higher performance, lower energy consumption, and better res...
Abstract. Conventional artificial neural network models lack many physiological properties of the neuron. Current learning algorithms are more concerned to computational performanc...
Emerging embedded System-on-Chip (SoC) platforms are increasingly becoming multiprocessor architectures. The advances in the FPGA chip technology make the implementation of such a...
High frame rate video capture and image processing is an important capability for applications in defense and homeland security where incoming missiles must be detected in very sh...
In this paper we present a scalable dataflow hard- ware architecture optimized for the computation of general- purpose vision algorithms—neuFlow—and a dataflow compiler—luaFl...
C. Farabet, B. Martini, B. Corda, P. Akselrod, E. ...