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High-throughput microscopy allows fast imaging of large tissue samples, producing an unprecedented amount of sub-cellular information. The size and complexity of these data sets often out-scale current reconstruction algorithms. Overcoming this computational bottleneck requires extensive parallel processing and scalable algorithms. As high-throughput imaging techniques move into main stream research,...
Nowadays, artificial neural network models have been largely simulated on conventional computers, proving their ability to solve a large range of complicated problems. The real potential of these neural models will only be available with the development of highly parallel architectures that are designed to optimize the intensive computational requirements of these neural models. However, there exists...
Recently, GPU has evolved into a highly parallel, multithreading, many core processor with tremendous computational capability and very high memory bandwidth. At the same time, multi-core CPU evolution continued and today's CPUs have 4-8 cores which offer dramatically increased performance and power savings characteristics. We are aware of very few works that consider both devices cooperating to solve...
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