—Image population analysis is the class of statistical methods that plays a central role in understanding the development, evolution and disease of a population. However, these t...
Many image and signal processing kernels can be optimized for performance consuming a reasonable area by doing loops parallelization with extensive use of pipelining. This paper p...
Zubair Nawaz, Thomas Marconi, Koen Bertels, Todor ...
Stream processing applications such as image signal processing demand high throughput. However, customers increasingly demand runtime flexibility in their designs, which cannot b...
Cellular computing architectures represent an important class of computation that are characterized by simple processing elements, local interconnect and massive parallelism. Thes...
Reid B. Porter, Jan R. Frigo, Al Conti, Neal R. Ha...
Abstract. Carefully studied in-situ hybridization Gene expression patterns (GEP) can provide a first glance at possible relationships among genes. Automatic comparative analysis to...
Andreas Heffel, Sonja J. Prohaska, Peter F. Stadle...