Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...
The use of real-time data streams in data-driven computational science is driving the need for stream processing tools that work within the architectural framework of the larger ap...
Data flow models are used for specifying and analysing signal processing and streaming applications. However, traditional data flow models are either not capable of expressing t...
Bart D. Theelen, Marc Geilen, Twan Basten, Jeroen ...
Efficient use of the memory hierarchy is critical for achieving high performance in a multiprocessor systemon-chip. An external memory that is shared between processors is a bottl...
Arno Moonen, Marco Bekooij, Rene van den Berg, Jef...