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Found 4 papers, 0 papers with code
HyperTune: Dynamic Hyperparameter Tuning For Efficient Distribution of DNN Training Over Heterogeneous Systems
Distributed training is a novel approach to accelerate Deep Neural Networks (DNN) training, but common training libraries fall short of addressing the distributed cases with heterogeneous processors or the cases where the processing nodes get interrupted by other workloads.
STANNIS: Low-Power Acceleration of Deep Neural Network Training Using Computational Storage
This paper proposes a framework for distributed, in-storage training of neural networks on clusters of computational storage devices.
Memory Enriched Big Bang Big Crunch Optimization Algorithm for Data Clustering
Furthermore, the performance of the proposed algorithm is investigated based on several benchmark test functions as well as on the well-known datasets.
IEDC: An Integrated Approach for Overlapping and Non-overlapping Community Detection
Community detection is a task of fundamental importance in social network analysis that can be used in a variety of knowledge-based domains.
