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CGA: Accelerating BFS Through an Sparsity-Aware Adaptive Framework on Heterogeneous Platforms 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2026, 卷号: 37, 期号: 1, 页码: 45-59
作者:  Xu, Lei;  Jia, Haipeng;  Zhang, Yunquan
收藏  |  浏览/下载：2/0  |  提交时间：2026/05/25
Graphics processing units  Kernel  Vectors  Sparse matrices  Optimization  Machine learning algorithms  Throughput  Adaptation models  Multicore processing  Data transfer  Sparse matrix-sparse vector multiplication (SpMSpV)  sparse matrix-dense vector multiplication (SpMV)  multi-core CPU  GPU  adaptive performance optimization  machine learning  
Parallel Static Learning Toward Heterogeneous Computing Architectures 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 3, 页码: 983-993
作者:  Lin, Xiaoze;  Lai, Liyang;  Li, Huawei
收藏  |  浏览/下载：48/0  |  提交时间：2024/12/06
Automatic test pattern generation (ATPG)  graphics processing unit (GPU)  multicore CPU  parallel acceleration  static learning  
CAP: Communication-Aware Automated Parallelization for Deep Learning Inference on CMP Architectures 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2022, 卷号: 71, 期号: 7, 页码: 1626-1639
作者:  Zou, Kaiwei;  Wang, Ying;  Cheng, Long;  Qu, Songyun;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：91/0  |  提交时间：2022/12/07
Kernel  Computer architecture  Multicore processing  Deep learning  System-on-chip  Parallel processing  Real-time systems  Neural networks  parallel processing  real-time and embedded systems  single-chip multiprocessors  reinforcement learning  structured sparsity  
What Hill-Marty model learn from and break through Amdahl's law? 期刊论文
INFORMATION PROCESSING LETTERS, 2011, 卷号: 111, 期号: 23-24, 页码: 1092-1095
作者:  Yao, Erlin;  Bao, Yungang;  Chen, Mingyu
收藏  |  浏览/下载：124/0  |  提交时间：2019/12/16
Parallel processing  Multicore  Scalability  Amdahl's law  Hill-Marty model