Kahn Process Networks (KPN) are an appealing model of computation to specify streaming applications. When a KPN has to execute on a multi-processor platform, a mapping of the KPN m...
Kahn Process Networks is an appealing model of computation for programming and mapping applications onto multi-processor platforms. Autonomous processes communicate through unboun...
Models of computation like Kahn and dataflow process networks provide convenient means for modeling signal processing applicahis is partly due to the abstract primitives that thes...
Paul Lieverse, Pieter van der Wolf, Ed F. Deprette...
At Leiden University, we are developing a design methodology that allows for fast mapping of nested-loop applications (e.g. DSP, Imaging, or MultiMedia) written in a subset of Matl...
Claudiu Zissulescu, Bart Kienhuis, Ed F. Depretter...
Information processing in nervous systems intricately combines computation at the neuronal and network levels. Many computations may be envisioned as sequences of signal processin...