Abstract: High-Performance Computing (HPC) scientific applications require linear solvers and eigensolvers, and the growth in the size of linear systems has led to the broad use of iterative ...
Abstract: Neuromorphic computing achieves highly energy-efficient computations while adapting to environmental changes. Processing time series data by spiking neural networks can further reduce the ...
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