4 citations · 4 across the 5 of their papers we have counts for
5 papers
Designing a 3D Parallel Memory-Aware Lattice Boltzmann Algorithm on Manycore Systems
Yuankun Fu, Fengguang Song
Lattice Boltzmann method (LBM) is a promising approach to solving Computational Fluid Dynamics (CFD) problems, however, its nature of memory-boundness limits nearly all LBM algorit…
OpenGraphGym-MG: Using Reinforcement Learning to Solve Large Graph Optimization Problems on MultiGPU Systems
Weijian Zheng, Dali Wang, Fengguang Song
Large scale graph optimization problems arise in many fields. This paper presents an extensible, high performance framework (named OpenGraphGym-MG) that uses deep reinforcement lea…
SDN helps Big Data to optimize access to data
Yuankun Fu, Fengguang Song
This chapter introduces the state-of-the-art in the emerging area of combining High Performance Computing (HPC) with Big Data Analysis. To understand the new area, the chapter firs…
ElasticBroker: Combining HPC with Cloud to Provide Realtime Insights into Simulations
Feng Li, Dali Wang, Feng Yan +1
For large-scale scientific simulations, it is expensive to store raw simulation results to perform post-analysis. To minimize expensive I/O, "in-situ" analysis is often used, where…
FQL: An Extensible Feature Query Language and Toolkit on Searching Software Characteristics for HPC Applications
Weijian Zheng, Dali Wang, Fengguang Song
The amount of large-scale scientific computing software is dramatically increasing. In this work, we designed a new language, named feature query language (FQL), to collect and ext…