The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
In this paper, we present a performance-driven softmacro clustering and placement method which preserves HDL design hierarchy to guide the soft-macro placement process. We also pr...
Photorealistic image synthesis is a computationally demanding task that relies on ray tracing for the evaluation of integrals. Rendering time is dominated by tracing long paths th...
Holger Dammertz, Johannes Hanika, Alexander Keller
Recently, by changing business circumstances, financial institutes have become interested in customer relationship management (CRM) in order to obtain continuous profit and to kee...
We investigate the computational power of parallel models with directed reconfigurable buses and with shared memory. Based on feasibility considerations present in the literature,...