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Efficient design of complex multiprocessor embedded systems requires fast technologies for early system cosimulation and evaluation. Host-compiled simulation has been proposed as an option for this purpose, since it enables accurately timed modeling at high simulation speeds. To achieve high accuracy, simulation technology has to consider internal details of the processing system, such as the modeling...
In this paper, we presented a graph-based computing model to perform the basic arithmetic operations using the DNA computing model with maximum parallelization capabilities. In other words, we proposed a mathematical transformation model to map the basic arithmetic operations to the Hamilton Path Problem (HPP) which can be solved with DNA computers easily and efficiently. Our analyses and simulations...
Power consumption and high compute density are the key factors to be considered when building a compute node for the upcoming Exascale revolution. Current architectural design and manufacturing technologies are not able to provide the requested level of density and power efficiency to realise an operational Exascale machine. A disruptive change in the hardware design and integration process is needed...
The ExaNeSt project started on December 2015 and is funded by EU H2020 research framework (call H2020-FETHPC-2014, n. 671553) to study the adoption of low-cost, Linux-based power-efficient 64-bit ARM processors clusters for Exascale-class systems. The ExaNeSt consortium pools partners with industrial and academic research expertise in storage, interconnects and applications that share a vision of...
The simulation of conductance-based neuronal networks according to the well known Hodgkin-Huxley approach is very computing-intensive, so that in spite of GHz-processors only networks with a few hundred neurons can be calculated in realtime. From a physiological point of view model simplifications are permitted when they have no negative effect on neuronal properties like modulation of the fire rate...
Today's Cyber-Physical Systems (CPS) are witnessing a growing complexity in terms of the number of components and computational power in order to meet the requirements of nowadays applications. For this reason and due to their energy efficiency, Multiprocessor system-on-chips (MPSoC) are becoming ubiquitous. Yet, since these systems are often used in battery-driven and/or small housing use cases,...
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