Shunde Li
YOU?
Author Swipe
View article: Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores
Acc-SpMM: Accelerating General-purpose Sparse Matrix-Matrix Multiplication with GPU Tensor Cores Open
General-purpose Sparse Matrix-Matrix Multiplication (SpMM) is a fundamental kernel in scientific computing and deep learning. The emergence of new matrix computation units such as Tensor Cores (TCs) brings more opportunities for SpMM accel…
View article: Lateral Phase Heterojunction for Perovskite Microoptoelectronics
Lateral Phase Heterojunction for Perovskite Microoptoelectronics Open
Perovskite heterojunction engineering is the prerequisite but still a deficiency in the fabrication of micro‐optoelectronic devices, where the present top‐down or bottom‐up techniques mainly focus on preparing the vertical heterojunction s…
View article: Solvent‐Engineering‐Assisted Ligand Exchange Strategy for High‐Efficiency AgBiS<sub>2</sub> Quantum Dot Solar Cells
Solvent‐Engineering‐Assisted Ligand Exchange Strategy for High‐Efficiency AgBiS<sub>2</sub> Quantum Dot Solar Cells Open
As the initial synthesized colloidal quantum dots (CQDs) are generally capped with insulating ligands, ligand exchange strategies are essential in the fabrication of CQD films for solar cells, which can regulate the surface chemical states…
View article: Solvent‐Engineering‐Assisted Ligand Exchange Strategy for High‐Efficiency AgBiS<sub>2</sub> Quantum Dot Solar Cells
Solvent‐Engineering‐Assisted Ligand Exchange Strategy for High‐Efficiency AgBiS<sub>2</sub> Quantum Dot Solar Cells Open
As the initial synthesized colloidal quantum dots (CQDs) are generally capped with insulating ligands, ligand exchange strategies are essential in the fabrication of CQD films for solar cells, which can regulate the surface chemical states…
View article: POSTER: ParGNN: Efficient Training for Large-Scale Graph Neural Network on GPU Clusters
POSTER: ParGNN: Efficient Training for Large-Scale Graph Neural Network on GPU Clusters Open
Full-batch graph neural network (GNN) training is essential for interdisciplinary applications. Large-scale graph data is usually divided into subgraphs and distributed across multiple compute units to train GNN. The state-of-the-art load …
View article: A Catalyst‐Like System Enables Efficient Perovskite Solar Cells
A Catalyst‐Like System Enables Efficient Perovskite Solar Cells Open
High‐quality perovskite films are essential for achieving high performance of optoelectronic devices; However, solution‐processed perovskite films are known to suffer from compositional and structural inhomogeneity due to lack of systemati…
View article: Large-Scale Simulation of Structural Dynamics Computing on GPU Clusters
Large-Scale Simulation of Structural Dynamics Computing on GPU Clusters Open
Structural dynamics simulation plays an important role in research on reactor design and complex engineering. The Hybrid Total Finite Element Tearing and Interconnecting (HTFETI) method combined with Newmark method is an efficient way to s…
View article: ANT-MOC: Scalable Neutral Particle Transport Using 3D Method of Characteristics on Multi-GPU Systems
ANT-MOC: Scalable Neutral Particle Transport Using 3D Method of Characteristics on Multi-GPU Systems Open
The Method Of Characteristic (MOC) to solve the Neutron Transport Equation (NTE) is the core of full-core simulation for reactors. High resolution is enabled by discretizing the NTE through massive tracks to traverse the 3D reactor geometr…
View article: Buried‐Metal‐Grid Electrodes for Efficient Parallel‐Connected Perovskite Solar Cells
Buried‐Metal‐Grid Electrodes for Efficient Parallel‐Connected Perovskite Solar Cells Open
The limited conductivity of existing transparent conducting oxide (TCO) greatly restricts the further performance improvement of perovskite solar cells (PSCs), especially for large‐area devices. Herein, buried‐metal‐grid tin‐doped indium o…
View article: Anchoring of halogen-cleaved organic ligands on perovskite surfaces
Anchoring of halogen-cleaved organic ligands on perovskite surfaces Open
Photoemission spectroscopy reveals halogen cleavage from bulky cation organics and the formation process of 2D-like perovskites on the parent perovskite as well as their impact on band alignment and device performance.
View article: The Spatiotemporal Pattern and Driving Factors of Cyber Fraud Crime in China
The Spatiotemporal Pattern and Driving Factors of Cyber Fraud Crime in China Open
As a typical cybercrime, cyber fraud poses severe threats to civilians’ property safety and social stability. Traditional criminological theories such as routine activity theory focus mainly on the effects of individual characteristics on …