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A novel GPU-based simulation of spiking neural networks is implemented as a hybrid system using Parker-Sochacki numerical integration method with adaptive order. Full single-precision floating-point accuracy for all model variables is achieved. The implementation is validated with exact matching of all neuron potential traces from GPU-based simulation versus those of a reference CPU-based simulation...
In most distributed real-time systems, it is required to estimate the worst-case execution time (WCET) of a program. It is important to consider timing effects of the kernel service time and I/O operations in order to improve the accuracy of WCET. In this work, we attempt to extend the conventional static analysis of source programs for calculating WCET by adding the timing effects of queue wait time...
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