97 citations · 137 across the 9 of their papers we have counts for
10 papers
Rank Position Forecasting in Car Racing
Bo Peng, Jiayu Li, Selahattin Akkas +4
Forecasting is challenging since uncertainty resulted from exogenous factors exists. This work investigates the rank position forecasting problem in car racing, which predicts the…
SubGraph2Vec: Highly-Vectorized Tree-likeSubgraph Counting
Langshi Chen, Jiayu Li, Ariful Azad +7
Subgraph counting aims to count occurrences of a template T in a given network G(V, E). It is a powerful graph analysis tool and has found real-world applications in diverse domain…
A GraphBLAS Approach for Subgraph Counting
Langshi Chen, Jiayu Li, Ariful Azad +7
Subgraph counting aims to count the occurrences of a subgraph template T in a given network G. The basic problem of computing structural properties such as counting triangles and o…
Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation
Geoffrey Fox, James A. Glazier, JCS Kadupitiya +10
The convergence of HPC and data-intensive methodologies provide a promising approach to major performance improvements. This paper provides a general description of the interaction…
High-Performance Massive Subgraph Counting using Pipelined Adaptive-Group Communication
Langshi Chen, Bo Peng, Sabra Ossen +4
Subgraph counting aims to count the number of occurrences of a subgraph T (aka as a template) in a given graph G. The basic problem has found applications in diverse domains. The p…
Performance Characterization of Multi-threaded Graph Processing Applications on Intel Many-Integrated-Core Architecture
Lei Jiang, Langshi Chen, Judy Qiu
Intel Xeon Phi many-integrated-core (MIC) architectures usher in a new era of terascale integration. Among emerging killer applications, parallel graph processing has been a critic…