Evaluating Fast Algorithms for Convolutional Neural Networks on FPGAs von Liang, Yun, Lu, Liqiang, Xiao, Qingcheng, Yan, Shengen

Volltext

DIESEL+: Accelerating Distributed Deep Learning Tasks on Image Datasets von Wang, Lipeng, Luo, Qiong, Yan, Shengen

Volltext

ASTRAEA: A Fair Deep Learning Scheduler for Multi-Tenant GPU Clusters von Ye, Zhisheng, Sun, Peng, Gao, Wei, Zhang, Tianwei, Wang, Xiaolin, Yan, Shengen, Luo, Yingwei

Volltext

Enabling Efficient Fast Convolution Algorithms on GPUs via MegaKernels von Jia, Liancheng, Liang, Yun, Li, Xiuhong, Lu, Liqiang, Yan, Shengen

Volltext

NeoFlow: A Flexible Framework for Enabling Efficient Compilation for High Performance DNN Training von Zheng, Size, Chen, Renze, Jin, Yicheng, Wei, Anjiang, Wu, Bingyang, Li, Xiuhong, Yan, Shengen, Liang, Yun

Volltext

GradientFlow: Optimizing Network Performance for Large-Scale Distributed DNN Training von Sun, Peng, Wen, Yonggang, Han, Ruobing, Feng, Wansen, Yan, Shengen

Volltext

Parallelization and Performance Optimization on Face Detection Algorithm with OpenCL： A Case Study von Wang, Weiyan, Zhang, Yunquan, Yan, Shengen, Zhang, Ying, Jia, Haipeng

Volltext

Proteus: Simulating the Performance of Distributed DNN Training von Duan, Jiangfei, Li, Xiuhong, Xu, Ping, Zhang, Xingcheng, Yan, Shengen, Liang, Yun, Lin, Dahua

Volltext

Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters von Hu, Qinghao, Sun, Peng, Shengen Yan, Wen, Yonggang, Zhang, Tianwei

Volltext

A Cross-Platform SpMV Framework on Many-Core Architectures von Zhang, Yunquan, Li, Shigang, Yan, Shengen, Zhou, Huiyang

Volltext

Towards Distributed Machine Learning in Shared Clusters: A Dynamically-Partitioned Approach von Sun, Peng, Wen, Yonggang, Ta Nguyen Binh Duong, Shengen Yan

Volltext

yaSpMV: yet another SpMV framework on GPUs von Yan, Shengen, Li, Chao, Zhang, Yunquan, Zhou, Huiyang

Volltext

StreamScan: fast scan algorithms for GPUs without global barrier synchronization von Yan, Shengen, Long, Guoping, Zhang, Yunquan

Volltext

FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Visual Language Models von Fu, Tianyu, Liu, Tengxuan, Han, Qinghao, Dai, Guohao, Yan, Shengen, Yang, Huazhong, Ning, Xuefei, Wang, Yu

Volltext bestellen

Parallelization strategy optimization method, system, device and medium von YAN SHENGEN

Volltext bestellen

General matrix multiplication optimization method, system, equipment and medium von YAN SHENGEN

Volltext bestellen

E-CAR: Efficient Continuous Autoregressive Image Generation via Multistage Modeling von Yuan, Zhihang, Shang, Yuzhang, Zhang, Hanling, Fang, Tongcheng, Xie, Rui, Xu, Bingxin, Yan, Yan, Yan, Shengen, Dai, Guohao, Wang, Yu

Volltext bestellen

CSKV: Training-Efficient Channel Shrinking for KV Cache in Long-Context Scenarios von Wang, Luning, Li, Shiyao, Ning, Xuefei, Yuan, Zhihang, Yan, Shengen, Dai, Guohao, Wang, Yu

Volltext bestellen

A Simulation Platform for Multi-tenant Machine Learning Services on Thousands of GPUs von Liang, Ruofan, He, Bingsheng, Yan, Shengen, Sun, Peng

Volltext bestellen

Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs von Liu, Enshu, Zhu, Junyi, Lin, Zinan, Ning, Xuefei, Blaschko, Matthew B, Yan, Shengen, Dai, Guohao, Yang, Huazhong, Wang, Yu

Volltext bestellen