Evaluating complexity and resilience trade-offs in emerging memory inference machines
Abstract not provided.
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Jump to search filtersEvaluating complexity and resilience trade-offs in emerging memory inference machines
Abstract not provided.
Fugu: Algorithm Development for Neuromorphic Hardware
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Mosaics a technique to make neuromorphic computing scalable adaptive and flexible
Abstract not provided.
Resilient Computing with Dynamical Systems
We reformulate fundamental numerical problems to run on novel hardware inspired by the brain. Such "neuromorphie hardware consumes less energy per computation, promising a means to augment next-generation exascale computers. However, their programming model is radically different from floating-point machines, with fewer guarantees about precision and communication. The approach is to pass each given problem through a sequence of transformations (algorithmic "reductions") which change it from conventional form into a dynamical system, then ultimately into a spiking neural network. Results for the eigenvalue problem are presented, showing that the dynamical system formulation is feasible.
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