20 citations · 42 across the 7 of their papers we have counts for
7 papers
HFN: Heterogeneous Feature Network for Multivariate Time Series Anomaly Detection
Jun Zhan, Chengkun Wu, Canqun Yang +2
Network or physical attacks on industrial equipment or computer systems may cause massive losses. Therefore, a quick and accurate anomaly detection (AD) based on monitoring data, e…
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…
Tuning Streamed Applications on Intel Xeon Phi: A Machine Learning Based Approach
Peng Zhang, Jianbin Fang, Tao Tang +2
Many-core accelerators, as represented by the XeonPhi coprocessors and GPGPUs, allow software to exploit spatial and temporal sharing of computing resources to improve the overall…
GARDENIA: A Domain-specific Benchmark Suite for Next-generation Accelerators
Zhen Xu, Xuhao Chen, Jie Shen +3
This paper presents the Graph Analytics Repository for Designing Next-generation Accelerators (GARDENIA), a benchmark suite for studying irregular algorithms on massively parallel…
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…