High Performance Im2win and Direct Convolutions using Three Tensor Layouts on SIMD Architectures
Fuente:
arXiv
Saved in:
| Main Authors: | Fu, Xiang, Zhang, Xinpeng, Ma, Jixiang, Zhao, Peng, Lu, Shuai, Liu, Xu T. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improving a Parallel C++ Intel AVX-512 SIMD Linear Genetic Programming Interpreter
by: Langdon, William B.
Published: (2025)
by: Langdon, William B.
Published: (2025)
Scaling SNNs Trained Using Equilibrium Propagation to Convolutional Architectures
by: Lin, Jiaqi, et al.
Published: (2024)
by: Lin, Jiaqi, et al.
Published: (2024)
Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods
by: Zhou, Chenlin, et al.
Published: (2024)
by: Zhou, Chenlin, et al.
Published: (2024)
Tensorized NeuroEvolution of Augmenting Topologies for GPU Acceleration
by: Wang, Lishuang, et al.
Published: (2024)
by: Wang, Lishuang, et al.
Published: (2024)
SpikeAtConv: An Integrated Spiking-Convolutional Attention Architecture for Energy-Efficient Neuromorphic Vision Processing
by: Liao, Wangdan, et al.
Published: (2024)
by: Liao, Wangdan, et al.
Published: (2024)
Composing Recurrent Spiking Neural Networks using Locally-Recurrent Motifs and Risk-Mitigating Architectural Optimization
by: Zhang, Wenrui, et al.
Published: (2021)
by: Zhang, Wenrui, et al.
Published: (2021)
TensorNEAT: A GPU-accelerated Library for NeuroEvolution of Augmenting Topologies
by: Wang, Lishuang, et al.
Published: (2025)
by: Wang, Lishuang, et al.
Published: (2025)
Neuro-Vesicles: Neuromodulation Should Be a Dynamical System, Not a Tensor Decoration
by: Li, Zilin, et al.
Published: (2025)
by: Li, Zilin, et al.
Published: (2025)
Graph-Theoretic Measures for Interpretable Multicriteria Decision Making in Emergency Department Layout Optimization
by: Sarhan, Ola, et al.
Published: (2025)
by: Sarhan, Ola, et al.
Published: (2025)
Fairness-Aware Performance Evaluation for Multi-Party Multi-Objective Optimization
by: Zhao, Zifan, et al.
Published: (2026)
by: Zhao, Zifan, et al.
Published: (2026)
An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures
by: Boissin, Thibaut, et al.
Published: (2025)
by: Boissin, Thibaut, et al.
Published: (2025)
BKDSNN: Enhancing the Performance of Learning-based Spiking Neural Networks Training with Blurred Knowledge Distillation
by: Xu, Zekai, et al.
Published: (2024)
by: Xu, Zekai, et al.
Published: (2024)
Combining Aggregated Attention and Transformer Architecture for Accurate and Efficient Performance of Spiking Neural Networks
by: Zhang, Hangming, et al.
Published: (2024)
by: Zhang, Hangming, et al.
Published: (2024)
Directly Training Temporal Spiking Neural Network with Sparse Surrogate Gradient
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, et al.
Published: (2024)
Automated Optimal Layout Generator for Animal Shelters: A framework based on Genetic Algorithm, TOPSIS and Graph Theory
by: Jalayer, Arghavan, et al.
Published: (2024)
by: Jalayer, Arghavan, et al.
Published: (2024)
Tensorized Ant Colony Optimization for GPU Acceleration
by: Yang, Luming, et al.
Published: (2024)
by: Yang, Luming, et al.
Published: (2024)
Convolutional Spiking Neural Network for Image Classification
by: Kiselev, Mikhail, et al.
Published: (2025)
by: Kiselev, Mikhail, et al.
Published: (2025)
Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks
by: Xu, Qi, et al.
Published: (2024)
by: Xu, Qi, et al.
Published: (2024)
An Adaptive Balance Search Based Complementary Heterogeneous Particle Swarm Optimization Architecture
by: Zhang, Zhenxing, et al.
Published: (2024)
by: Zhang, Zhenxing, et al.
Published: (2024)
Bridging Evolutionary Multiobjective Optimization and GPU Acceleration via Tensorization
by: Liang, Zhenyu, et al.
Published: (2025)
by: Liang, Zhenyu, et al.
Published: (2025)
GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA
by: Liang, Zhenyu, et al.
Published: (2024)
by: Liang, Zhenyu, et al.
Published: (2024)
Converting High-Performance and Low-Latency SNNs through Explicit Modelling of Residual Error in ANNs
by: Huang, Zhipeng, et al.
Published: (2024)
by: Huang, Zhipeng, et al.
Published: (2024)
Using Evolutionary Algorithms to Find Cache-Friendly Generalized Morton Layouts for Arrays
by: Swatman, Stephen Nicholas, et al.
Published: (2023)
by: Swatman, Stephen Nicholas, et al.
Published: (2023)
Efficient Multiplayer Battle Game Optimizer for Adversarial Robust Neural Architecture Search
by: Zhong, Rui, et al.
Published: (2024)
by: Zhong, Rui, et al.
Published: (2024)
Combining Convolution and Delay Learning in Recurrent Spiking Neural Networks
by: Zebendo, Lúcio Folly Sanches, et al.
Published: (2026)
by: Zebendo, Lúcio Folly Sanches, et al.
Published: (2026)
CogniSNN: An Exploration to Random Graph Architecture based Spiking Neural Networks with Enhanced Depth-Scalability and Path-Plasticity
by: Huang, Yongsheng, et al.
Published: (2025)
by: Huang, Yongsheng, et al.
Published: (2025)
Improving Low-Latency Learning Performance in Spiking Neural Networks via a Change-Perceptive Dendrite-Soma-Axon Neuron
by: Huang, Zeyu, et al.
Published: (2025)
by: Huang, Zeyu, et al.
Published: (2025)
STCSNN: High energy efficiency spike-train level spiking neural networks with spatio-temporal conversion
by: Xu, Changqing, et al.
Published: (2023)
by: Xu, Changqing, et al.
Published: (2023)
Advanced Multimodal Learning for Seizure Detection and Prediction: Concept, Challenges, and Future Directions
by: Ahmad, Ijaz, et al.
Published: (2026)
by: Ahmad, Ijaz, et al.
Published: (2026)
GPU-accelerated Evolutionary Many-objective Optimization Using Tensorized NSGA-III
by: Li, Hao, et al.
Published: (2025)
by: Li, Hao, et al.
Published: (2025)
TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training
by: Lee, Donghyun, et al.
Published: (2024)
by: Lee, Donghyun, et al.
Published: (2024)
Spiking Neural Networks with Consistent Mapping Relations Allow High-Accuracy Inference
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, et al.
Published: (2024)
Dynamic Neural Field Modeling of Visual Contrast for Perceiving Incoherent Looming
by: Qin, Ziyan, et al.
Published: (2025)
by: Qin, Ziyan, et al.
Published: (2025)
Attention-Driven LPLC2 Neural Ensemble Model for Multi-Target Looming Detection and Localization
by: Liu, Renyuan, et al.
Published: (2025)
by: Liu, Renyuan, et al.
Published: (2025)
Convolutional Spiking Neural Networks for Detecting Anticipatory Brain Potentials Using Electroencephalogram
by: Lutes, Nathan, et al.
Published: (2022)
by: Lutes, Nathan, et al.
Published: (2022)
SHA-CNN: Scalable Hierarchical Aware Convolutional Neural Network for Edge AI
by: Dhakad, Narendra Singh, et al.
Published: (2024)
by: Dhakad, Narendra Singh, et al.
Published: (2024)
G-EvoNAS: Evolutionary Neural Architecture Search Based on Network Growth
by: Zou, Juan, et al.
Published: (2024)
by: Zou, Juan, et al.
Published: (2024)
Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power Applications
by: Bu, Tong, et al.
Published: (2024)
by: Bu, Tong, et al.
Published: (2024)
Fully Tensorized GPU-accelerated Multi-population Evolutionary Algorithm for Constrained Multiobjective Optimization Problems
by: Huang, Weixiong, et al.
Published: (2025)
by: Huang, Weixiong, et al.
Published: (2025)
Spiking Convolutional Neural Networks for Text Classification
by: Lv, Changze, et al.
Published: (2024)
by: Lv, Changze, et al.
Published: (2024)
Similar Items
-
Improving a Parallel C++ Intel AVX-512 SIMD Linear Genetic Programming Interpreter
by: Langdon, William B.
Published: (2025) -
Scaling SNNs Trained Using Equilibrium Propagation to Convolutional Architectures
by: Lin, Jiaqi, et al.
Published: (2024) -
Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods
by: Zhou, Chenlin, et al.
Published: (2024) -
Tensorized NeuroEvolution of Augmenting Topologies for GPU Acceleration
by: Wang, Lishuang, et al.
Published: (2024) -
SpikeAtConv: An Integrated Spiking-Convolutional Attention Architecture for Energy-Efficient Neuromorphic Vision Processing
by: Liao, Wangdan, et al.
Published: (2024)