Jialin Li

WindStencil: Unleashing GPU Potential for High-Order Stencil Computation in High-Performance Inviscid CFD Simulations

Xi Zhang, Haoyuan Zhang, Xiazhen Liu, Jialin Li et autres

cn (code pays fourni par la source)

Crystallographic‐Orientation‐Independent Field‐Free Deterministic Magnetization Switching in Perpendicularly Aligned WTe 2 /Fe 3 GeTe 2 /WTe 2 Heterostructures

Xinyi Fan, Huanfeng Zhu, Junjian Mi, Jialin Li et autres

Spintronic devices utilizing spin‐orbit torque mechanisms still face challenges including high drive currents, the necessity of external magnetic fields, and sensitivity to crystallographic orientation. Here, we demonstrate field‐free deterministic magnetization switching in perpendicularly magnetized Fe 3 GeTe 2 (FGT) through WTe 2 …

cn (code pays fourni par la source)

A dynamically adaptive and high-efficiency small object detection network for infrared thermographic images in online monitoring of solar photovoltaic panel defects

Jialin Li, Tong Tong, Dongqi Li, Xiaolong Yuan et autres

cn, gb (code pays fourni par la source)

Automated system and adaptive pixel-wise detection network for intelligent diagnosis of turbine blade defects

Jialin Li, Tong Tong, Xiaolong Yuan, Yunjie Ma et autres

cn (code pays fourni par la source)

Field-free magnetization reversal by dual spin-orbit torque

Zili Wang, Weiran Xie, Fan Gao, F. L. Liu et autres

cn (code pays fourni par la source)

Crop Yield Time-Series Data Prediction Based on Multiple Hybrid Machine Learning Models

Yueru Yan, Yue Wang, Jialin Li, Jingwei Zhang et autres

Agriculture plays a crucial role in the global economy and social stability, and accurate crop yield prediction is essential for rational planting planning and decision-making. This study focuses on crop yield Time-Series Data prediction. Considering the crucial significance of agriculture in the …

cn, us (code pays fourni par la source)

Crop Yield Time-Series Data Prediction Based on Multiple Hybrid Machine Learning Models

Yueru Yan, Yue Wang, Jialin Li, Jingwei Zhang et autres

Agriculture plays a crucial role in the global economy and social stability, and accurate crop yield prediction is essential for rational planting planning and decision-making. This study focuses on crop yield Time-Series Data prediction. Considering the crucial significance of agriculture in the …

cn, gb, us (code pays fourni par la source)

Crop Yield Time-Series Data Prediction Based on Multiple Hybrid Machine Learning Models

Yueru Yan, Yue Wang, Jialin Li, Jingwei Zhang et autres

Agriculture plays a crucial role in the global economy and social stability, and accurate crop yield prediction is essential for rational planting planning and decision-making. This study focuses on crop yield Time-Series Data prediction. Considering the crucial significance of agriculture in the …

High-Performance 3D convolution on the Latest Generation Sunway Processor

Jialin Li, Zhichen Feng, Yaqian Gao, Shaobo Tian et autres

The emergence of High-Performance Computing (HPC) and Artificial Intelligence (AI) has significantly expanded the applications of three-dimensional convolutional neural networks (3D CNNs). At the same time, the next-generation Sunway supercomputer has evidenced its superior computational capabilities in the HPC+AI domain. However, complex …

cn (code pays fourni par la source)

POSTER: Enabling Extreme-Scale Phase Field Simulation with In-situ Feature Extraction

Zhichen Feng, Jialin Li, Yaqian Gao, Shaobo Tian et autres

In this paper, we present an integrated framework composed of a highly efficient phase field simulator and an in-situ feature extraction library. This novel framework enables us to conduct extreme-scale micro-structure evolution simulations while the characteristic features of each individual grain are …

cn (code pays fourni par la source)

Fetch and Forge: Efficient Dataset Condensation for Object Detection

Qi Ding, Jialin Li, Jinlong Peng, Shuguang Dou et autres

A Fine-grained Prefetching Scheme for DGEMM Kernels on GPU with Auto-tuning Compatibility

Jialin Li, Huang Ye, Shaobo Tian, Xinyuan Li et autres

General Matrix Multiplication (GEMM) is one of the fundamental kernels for scientific and high-performance computing. When optimizing the performance of GEMM on GPU, the matrix is usually partitioned into a hierarchy of tiles to fit the thread hierarchy. In practice, the thread-level …

cn (code pays fourni par la source)