2.5k citations · 3.6k across the 7 of their papers we have counts for
Showing 2014Show all
2 papers · 1 filter
cs.LG2014★ 440 cited
GraphLab: A New Framework For Parallel Machine Learning
Yucheng Low, Joseph E. Gonzalez, Aapo Kyrola +3
Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging. Existing high-level parallel abstractions like MapReduce are insuff…
cs.DB2014★ 17 cited
GraphChi-DB: Simple Design for a Scalable Graph Database System -- on Just a PC
Aapo Kyrola, Carlos Guestrin
We propose a new data structure, Parallel Adjacency Lists (PAL), for efficiently managing graphs with billions of edges on disk. The PAL structure is based on the graph storage mod…