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09/10/2023
O2ATH: An OpenMP Offloading Toolkit for the Sunway Heterogeneous Manycore Platform
The next generation Sunway supercomputer employs the SW26010pro processo...
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08/12/2023
Towards Exascale Computation for Turbomachinery Flows
A state-of-the-art large eddy simulation code has been developed to solv...
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08/07/2023
RecycleGPT: An Autoregressive Language Model with Recyclable Module
Existing large language models have to run K times to generate a sequenc...
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05/24/2023
A Joint Time-frequency Domain Transformer for Multivariate Time Series Forecasting
To enhance predicting performance while minimizing computational demands...
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12/09/2022
Validating quantum-supremacy experiments with exact and fast tensor network contraction
The quantum circuits that declare quantum supremacy, such as Google Syca...
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05/01/2022
Lifetime-based Method for Quantum Simulation on a New Sunway Supercomputer
Faster classical simulation becomes essential for the validation of quan...
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04/24/2022
Heterogeneous Information Network based Default Analysis on Banking Micro and Small Enterprise Users
Risk assessment is a substantial problem for financial institutions that...
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09/02/2020
Benchmarking 50-Photon Gaussian Boson Sampling on the Sunway TaihuLight
Boson sampling is expected to be one of an important milestones that wil...
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06/16/2020
Model-based Adversarial Meta-Reinforcement Learning
Meta-reinforcement learning (meta-RL) aims to learn from multiple traini...
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02/06/2020
The Deep Learning Compiler: A Comprehensive Survey
The difficulty of deploying various deep learning (DL) models on diverse...
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11/06/2019
Distributional Reward Decomposition for Reinforcement Learning
Many reinforcement learning (RL) tasks have specific properties that can...
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05/04/2019
NAMSG: An Efficient Method For Training Neural Networks
We introduce NAMSG, an adaptive first-order algorithm for training neura...
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03/16/2019
swCaffe: a Parallel Framework for Accelerating Deep Learning Applications on Sunway TaihuLight
This paper reports our efforts on swCaffe, a highly efficient parallel f...
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08/13/2018
RedSync : Reducing Synchronization Traffic for Distributed Deep Learning
Data parallelism has already become a dominant method to scale Deep Neur...
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05/19/2018
Episodic Memory Deep Q-Networks
Reinforcement learning (RL) algorithms have made huge progress in recent...
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12/11/2017