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Automatic Generation of High-Performance Convolution Kernels on ARM CPUs for Deep Learning.

J. Meng, C. Zhuang, P. Chen, M. Wahib, B. Schmidt, X. Wang, H. Lan, D. Wu, M. Deng, Y. Wei, и S. Feng. IEEE Trans. Parallel Distributed Syst., 33 (11): 2885-2899 (2022)

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Haidong Li

Haidong Chi

Dan Lan

Lan Zhang

Le Lan

Другие публикации лиц с тем же именем

SWhybrid: A Hybrid-Parallel Framework for Large-Scale Protein Sequence Database Search.H. Lan, W. Liu, Y. Liu, и B. Schmidt. IPDPS, стр. 42-51. IEEE Computer Society, (2017)Automatic Generation of High-Performance Convolution Kernels on ARM CPUs for Deep Learning.J. Meng, C. Zhuang, P. Chen, M. Wahib, B. Schmidt, X. Wang, H. Lan, D. Wu, M. Deng, Y. Wei и 1 other автор(ы). IEEE Trans. Parallel Distributed Syst., 33 (11): 2885-2899 (2022)RabbitQC: high-speed scalable quality control for sequencing data.Z. Yin, H. Zhang, M. Liu, W. Zhang, H. Song, H. Lan, Y. Wei, B. Niu, B. Schmidt, и W. Liu. Bioinform., 37 (4): 573-574 (2021)BGSA: a bit-parallel global sequence alignment toolkit for multi-core and many-core architectures.J. Zhang, H. Lan, Y. Chan, Y. Shang, B. Schmidt, и W. Liu. Bioinform., 35 (13): 2306-2308 (2019)tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modelling Structure Refinement.L. Zheng, H. Lan, T. Shen, J. Wu, S. Wang, W. Liu, и J. Huang. CoRR, (2021)EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models.J. Wu, S. Luo, T. Shen, H. Lan, S. Wang, и J. Huang. CoRR, (2021)FeatherCNN: Fast Inference Computation with TensorGEMM on ARM Architectures.H. Lan, J. Meng, C. Hundt, B. Schmidt, M. Deng, X. Wang, W. Liu, Y. Qiao, и S. Feng. IEEE Trans. Parallel Distributed Syst., 31 (3): 580-594 (2020)Parallel algorithms for large-scale biological sequence alignment on Xeon-Phi based clusters.H. Lan, Y. Chan, K. Xu, B. Schmidt, S. Peng, и W. Liu. BMC Bioinform., 17 (S-9): 267 (2016)End-to-end I/O Monitoring on a Leading Supercomputer.B. Yang, X. Ji, X. Ma, X. Wang, T. Zhang, X. Zhu, N. El-Sayed, H. Lan, Y. Yang, J. Zhai и 2 other автор(ы). NSDI, стр. 379-394. USENIX Association, (2019)Improving protein-ligand docking and screening accuracies by incorporating a scoring function correction term.L. Zheng, J. Meng, K. Jiang, H. Lan, Z. Wang, M. Lin, W. Li, H. Guo, Y. Wei, и Y. Mu. Briefings Bioinform., (2022)

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