Gabriele Pallotta

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Nowadays, we are witnessing trends in technology, fabrication processes and computing architectures that lead to the design and development of processing systems constituted by a relevant number of independent, heterogeneous execution resources. The aim is to achieve high-performance while leveraging on other aspects, such as energy consumption. Indeed,(More)
The ability to map neural networks is of fundamental importance for the understanding of the plasticity of neural connections, their behavior and organization, as well as the clinical implications related to neurological conditions. Being able to quickly and accurately model and map neural interconnections through Brain Networks (BNs) is critical for the(More)
The increased computational power required by modern large-scale computing system is pushing the adoption of heterogeneous components into mainstream. While Graphic Processing Units (GPUs) are frequently adopted as core heterogeneous computational elements, Field Programmable Gate Array (FPGA) based heterogeneous systems are being investigated and adopted(More)
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