119 citations · 296 across the 13 of their papers we have counts for
5 papers · 1 filter
Lifetime-based Optimization for Simulating Quantum Circuits on a New Sunway Supercomputer
Yaojian Chen, Yong Liu, Xinmin Shi +8
High-performance classical simulator for quantum circuits, in particular the tensor network contraction algorithm, has become an important tool for the validation of noisy quantum…
Online Evolutionary Batch Size Orchestration for Scheduling Deep Learning Workloads in GPU Clusters
Zhengda Bian, Shenggui Li, Wei Wang +1
Efficient GPU resource scheduling is essential to maximize resource utilization and save training costs for the increasing amount of deep learning workloads in shared GPU clusters.…
Benchmarking 50-Photon Gaussian Boson Sampling on the Sunway TaihuLight
Yuxuan Li, Mingcheng Chen, Yaojian Chen +6
Boson sampling is expected to be one of an important milestones that will demonstrate quantum supremacy. The present work establishes the benchmarking of Gaussian boson sampling (G…
swCaffe: a Parallel Framework for Accelerating Deep Learning Applications on Sunway TaihuLight
Jiarui Fang, Liandeng Li, Haohuan Fu +5
This paper reports our efforts on swCaffe, a highly efficient parallel framework for accelerating deep neural networks (DNNs) training on Sunway TaihuLight, the current fastest sup…
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…