599 citations · 4.9k across the 121 of their papers we have counts for
4 papers · 1 filter
The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox
Daniel Crankshaw, Peter Bailis, Joseph E. Gonzalez +5
To support complex data-intensive applications such as personalized recommendations, targeted advertising, and intelligent services, the data management community has focused heavi…
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…
Standards for Graph Algorithm Primitives
Tim Mattson, David Bader, Jon Berry +16
It is our view that the state of the art in constructing a large collection of graph algorithms in terms of linear algebraic operations is mature enough to support the emergence of…
GraphX: Unifying Data-Parallel and Graph-Parallel Analytics
Reynold S. Xin, Daniel Crankshaw, Ankur Dave +3
From social networks to language modeling, the growing scale and importance of graph data has driven the development of numerous new graph-parallel systems (e.g., Pregel, GraphLab)…