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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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. 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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, (parameterised) complexity classes for stochastic computing, and the realisation of probability distributions and computations on them in novel materials and computing architectures. This position contributes
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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