Although there are many neural network FPGA architectures, there is no framework for designing large, high-performance neural networks suitable for the real world. In this paper, ...
The purpose of this paper is twofold: first, to illustrate a stand-alone board-level evolvable system (SABLES) and its performance, and second to illustrate some problems that occ...
Adrian Stoica, Ricardo Salem Zebulum, Michael I. F...
Current superscalar microprocessors’ performance depends on its frequency and the number of useful instructions that can be processed per cycle (IPC). In this paper we propose a...
This paper presents a novel architecture for on-chip neural network training using particle swarm optimization (PSO). PSO is an evolutionary optimization algorithm with a growing ...
Amin Farmahini Farahani, Seid Mehdi Fakhraie, Saee...
In this paper a layout-aware RF synthesis methodology is presented. The methodology combines the power of a differential evolution algorithm with cost function response modeling a...
Peter J. Vancorenland, Geert Van der Plas, Michiel...