This paper introduces several new asynchronous pipeline designs which offer high throughput as well as low latency. The designs target dynamic datapaths, both dualrail as well as ...
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
With the recent progress of spatial information technologies and communication technologies, it has become easier to track positions of a large number of moving objects in real-ti...
Nowadays, many state-of-the-art user interfaces to complexly structured data collections require appropriate information visualization methods. With the increase in graphics perfo...
Thomas Risse, Martin Leissler, Matthias Hemmje, Ka...
—Parallel structures may be used to increase a system processing speed in case of large amount of data or highly complex calculations. Dynamic Voltage and Frequency Scaling (DVFS...