In this paper we present a system for automatic synthesis of special purpose hardware for neural networks. Only an algorithmic description of the hardware and a simulation environment have to be written by the designer using VHDL. This description can be automatically mapped onto hardware using the synthesis tools CALLAS or CADDY and the design system MENTOR. Using the concept of a simulation block connected to the actual design level of the hardware implementation the consistency of the different design levels can be proved. By using reprogrammable gate arrays (FPGAs) with this system we are able to do rapid prototyping of neural network hardware in a few days
Colloque avec actes et comité de lecture. internationale.International audienceNeural networks are c...
In this paper a hardware implementation of a neural network using Field Programmable Gate Arrays (FP...
This paper presents the hardware-software co-design platform based on FPGA developed for fast protot...
In this paper we present a system for automatic synthesis of special purpose hardware for neural net...
A tool for automatic synthesis of neural network structures to programmable hardware components is i...
Abstract. The usage of the FPGA (Field Programmable Gate Array) for neural network implementation pr...
Recent trends in studying the brain activity have attracted interest in the simulation of neurons to...
International audienceThe performance of configurable digital circuits such as Field Programmable Ga...
Abstract-Designing and implementing intelligent systems has become a crucial factor for the innovati...
Designing and implementing intelligent systems has become a crucial factor for the innovation and de...
The authors consider digital VLSI implementation of layered feedforward neural networks. The main go...
The objectives are to investigate the use of FPGA-based reconfigurable architecture to implement art...
Artificial neural networks are extended on the basis of brain structure. Like the brain, ANNs can re...
The present project is about the design, simulation and an experimentational test of a digital syste...
Recent trends in studying the brain activity have attracted interest in the simulation of neurons to...
Colloque avec actes et comité de lecture. internationale.International audienceNeural networks are c...
In this paper a hardware implementation of a neural network using Field Programmable Gate Arrays (FP...
This paper presents the hardware-software co-design platform based on FPGA developed for fast protot...
In this paper we present a system for automatic synthesis of special purpose hardware for neural net...
A tool for automatic synthesis of neural network structures to programmable hardware components is i...
Abstract. The usage of the FPGA (Field Programmable Gate Array) for neural network implementation pr...
Recent trends in studying the brain activity have attracted interest in the simulation of neurons to...
International audienceThe performance of configurable digital circuits such as Field Programmable Ga...
Abstract-Designing and implementing intelligent systems has become a crucial factor for the innovati...
Designing and implementing intelligent systems has become a crucial factor for the innovation and de...
The authors consider digital VLSI implementation of layered feedforward neural networks. The main go...
The objectives are to investigate the use of FPGA-based reconfigurable architecture to implement art...
Artificial neural networks are extended on the basis of brain structure. Like the brain, ANNs can re...
The present project is about the design, simulation and an experimentational test of a digital syste...
Recent trends in studying the brain activity have attracted interest in the simulation of neurons to...
Colloque avec actes et comité de lecture. internationale.International audienceNeural networks are c...
In this paper a hardware implementation of a neural network using Field Programmable Gate Arrays (FP...
This paper presents the hardware-software co-design platform based on FPGA developed for fast protot...