The availability of large quantities of processors is a crucial enabler of many-task computing. Voluntary computing systems have proven that it is possible to build computing plat...
Rostand Costa, Francisco V. Brasileiro, Guido Lemo...
We use reconfigurable hardware to construct a high throughput Bayesian computing machine (BCM) capable of evaluating probabilistic networks with arbitrary DAG (directed acyclic gr...
—The paper presents architecture and synthesis results for an organic computing hardware for smart CMOS camera chips. The organic behavior in the chip hardware is based on distri...
Dietmar Fey, Marcus Komann, Frank Schurz, Andreas ...
Many parameter estimation problems admit divide and conquer or partitioning techniques in order to reduce a highdimensional task into several reduced-dimension problems. These tec...
Recent advances in statistical inference and machine learning close the divide between simulation and classical optimization, thereby enabling more rigorous and robust microarchit...