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. They can be constrained by either compute power or memory bandwidth. This information can be used to calculate the theoretical maximum energy efficiency of an algorithm that is run on an architecture
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efficiency of an algorithm that is run on an architecture/accelerator. To make testing multiple architectures easier, you will leverage our existing approach to generate code from a single source code for
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are ideal for implementing spiking neural networks (SNNs), supporting on-chip learning and edge AI deployment. This project aims to develop a neuromorphic FPGA-based architecture integrating biologically
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) complexity classes for stochastic computing, and realisation of probability distributions and computations on them in novel materials and computing architectures. This position will contribute to the first
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20 Feb 2025 Job Information Organisation/Company Radboud University Research Field Architecture » Other Environmental science » Earth science Sociology » Urban sociology Researcher Profile First