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DiviML: A Module-based Heuristic for Mapping Neural Networks onto Heterogeneous Platforms
We evaluate our scheduler in optimizing both conventional DNNs and randomly-wired neural networks, subject to latency and throughput constraints, on a heterogeneous system comprised of a CPU and two distinct GPUs.
Runtime Analysis for Permutation-based Evolutionary Algorithms
We observe that it not only leads to simpler proofs, but also reduces the runtime on jump functions with odd jump size by a factor of $\Theta(n)$.
Towards a Stronger Theory for Permutation-based Evolutionary Algorithms
We observe that it not only leads to simpler proofs, but also reduces the runtime on jump functions with odd jump size by a factor of $\Theta(n)$.
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