Programming specialized network processors (NPU) is inherently difficult. Unlike mainstream processors where architectural features such as out-of-order execution and caches hide ...
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
With increasing complexity of modern embedded systems, the availability of highly optimizing compilers becomes more and more important. At the same time, application specific inst...
— Low energy consumption is a critical issue in embedded systems design. As the technology feature sizes of SoC (Systems on Chip) become smaller and smaller, the percentage of le...
Recent technologies such as the Real-Time Specification for Java promise to bring Java’s advantages to real-time systems. While these technologies have made Java more predictab...
Trevor Harmon, Martin Schoeberl, Raimund Kirner, R...