Dryad
Dryad is a general-purpose distributed execution engine for coarse-grain data-parallel applications. A Dryad application combines computational "vertices" with communication "ch...
Publications
4 shownScalability! but at what cost?
We offer a new metric for big data platforms, COST, or the Configuration that Outperforms a Single Thread. The COST of a given platform for a given problem is the hardware confi...
Incremental, iterative data processing with timely dataflow
We describe the timely dataflow model for distributed computation and its implementation in the Naiad system. The model supports stateful iterative and incremental computations....
TensorFlow: a system for large-scale machine learning
TensorFlow is a machine learning system that operates at large scale and in heterogeneous environments. Tensor-Flow uses dataflow graphs to represent computation, shared state, ...
Frequent Co-Authors
Researcher Info
- h-index
- 4
- Publications
- 4
- Citations
- 9,005
- Institution
- Google (United States)
External Links
Impact Metrics
h-index
4
h-index: Number of publications with at least h citations each.