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Synapse Compression for Event-Based Convolutional-Neural-Network Accelerators
Manufacturing-viable neuromorphic chips require novel computer architectures to achieve the massively parallel and efficient information processing the brain supports so effortlessly.
Evolutionary Acyclic Graph Partitioning
Directed graphs are widely used to model data flow and execution dependencies in streaming applications.
Graph Partitioning with Acyclicity Constraints
In this work, we show that this more constrained version of the graph partitioning problem is NP-complete and present heuristics that achieve a close approximation of the optimal solution found by an exhaustive search for small problem instances and much better scalability for larger instances.
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