Distributed Graph Computation Meets Machine Learning

IEEE Transactions on Parallel and Distributed Systems(2020)

引用 9|浏览197
暂无评分
摘要
TuX2 is a new distributed graph engine that bridges graph computation and distributed machine learning. TuX2 inherits the benefits of elegant graph computation model, efficient graph layout, and balanced parallelism to scale to billion-edge graphs, while extended and optimized for distributed machine learning to support heterogeneity in data model, Stale Synchronous Parallel in scheduling, and a n...
更多
查看译文
关键词
Machine learning,Data models,Computational modeling,Engines,Machine learning algorithms,Layout,Parallel processing
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要