20 citations · 39 across the 5 of their papers we have counts for
5 papers
Parallel Programming Models for Heterogeneous Many-Cores : A Survey
Jianbin Fang, Chun Huang, Tao Tang +1
Heterogeneous many-cores are now an integral part of modern computing systems ranging from embedding systems to supercomputers. While heterogeneous many-core design offers the pote…
Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures: A Machine Learning Based Approach
Peng Zhang, Jianbin Fang, Canqun Yang +3
This article presents an automatic approach to quickly derive a good solution for hardware resource partition and task granularity for task-based parallel applications on heterogen…
Streaming Applications on Heterogeneous Platforms
Zhaokui Li, Jianbin Fang, Tao Tang +2
Using multiple streams can improve the overall system performance by mitigating the data transfer overhead on heterogeneous systems. Currently, very few cases have been streamed to…
Efficient and High-quality Sparse Graph Coloring on the GPU
Xuhao Chen, Pingfan Li, Jianbin Fang +3
Graph coloring has been broadly used to discover concurrency in parallel computing. To speedup graph coloring for large-scale datasets, parallel algorithms have been proposed to le…
Evaluating the Performance Impact of Multiple Streams on the MIC-based Heterogeneous Platform
Zhaokui Li, Jianbin Fang, Tao Tang +3
Using \textit{multiple streams} can improve the overall system performance by mitigating the data transfer overhead on heterogeneous systems. Prior work focuses a lot on GPUs but l…