3 citations · 3 across the 4 of their papers we have counts for
4 papers
INSPIRIT: Optimizing Heterogeneous Task Scheduling through Adaptive Priority in Task-based Runtime Systems
Yiqing Wang, Xiaoyan Liu, Hailong Yang +5
As modern HPC computing platforms become increasingly heterogeneous, it is challenging for programmers to fully leverage the computation power of massive parallelism offered by suc…
LogGPT: Exploring ChatGPT for Log-Based Anomaly Detection
Jiaxing Qi, Shaohan Huang, Zhongzhi Luan +3
The increasing volume of log data produced by software-intensive systems makes it impractical to analyze them manually. Many deep learning-based methods have been proposed for log-…
FamilySeer: Towards Optimized Tensor Codes by Exploiting Computation Subgraph Similarity
Shanjun Zhang, Mingzhen Li, Hailong Yang +3
Deploying various deep learning (DL) models efficiently has boosted the research on DL compilers. The difficulty of generating optimized tensor codes drives DL compiler to ask for…
Scalable Hierarchical Scheduling for Malleable Parallel Jobs on Multiprocessor-based Systems
Yangjie Cao, Hongyang Sun, Depei Qian +1
The proliferation of multi-core and multiprocessor-based computer systems has led to explosive development of parallel applications and hence the need for efficient schedulers. In…