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Working Principles of Binary Differential Evolution
Benjamin Doerr, Weijie Zheng
We conduct a first fundamental analysis of the working principles of binary differential evolution (BDE), an optimization heuristic for binary decision variables that was derived b…
RedSync : Reducing Synchronization Traffic for Distributed Deep Learning
Jiarui Fang, Haohuan Fu, Guangwen Yang +1
Data parallelism has become a dominant method to scale Deep Neural Network (DNN) training across multiple nodes. Since synchronizing a large number of gradients of the local model…
Episodic Memory Deep Q-Networks
Zichuan Lin, Tianqi Zhao, Guangwen Yang +1
Reinforcement learning (RL) algorithms have made huge progress in recent years by leveraging the power of deep neural networks (DNN). Despite the success, deep RL algorithms are kn…
Quantum Supremacy Circuit Simulation on Sunway TaihuLight
Riling Li, Bujiao Wu, Mingsheng Ying +2
With the rapid progress made by industry and academia, quantum computers with dozens of qubits or even larger size are being realized. However, the fidelity of existing quantum com…