This paper describes an evolvable hardware (EHW) system for generalized neural network learning. We have developed an ASIC VLSI chip, which is a building block to configure a scal...
Reconfiguration time in dynamically-reconfigurable modular systems can severely limit application run-time compared to the critical path delay. In this paper we present a novel ...
Due to their layered approach, Networks-on-Chip (NoC) are a promising communication backbone in the field of heterogeneous dynamically reconfigurable systems. In this paper a fu...
Ronald Hecht, Stephan Kubisch, Andreas Herrholtz, ...
- Even though state-of-the-art FPGAs present new opportunities in exploring low-cost high-performance architectures for floating-point scientific applications, they also pose serio...
—In this paper, we present a method to analyze different implementations of stream-based applications on heterogeneous multiprocessor systems. We take both resource usage and per...