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The companion paper to Thrill, with more details on its architecture and some benchmarks and comparisons to Spark and Flink: https://arxiv.org/abs/1608.05634 ht
by lorenzhs 10y ago
The companion paper to Thrill, with more details on its architecture and some benchmarks and comparisons to Spark and Flink: https://arxiv.org/abs/1608.05634 https://arxiv.org/abs/1608.05634
- 75dvtwin 10y agoThx for the link to the paper. It is a useful read in its own right. It provides an overview of other processing framework, explains why C++ was chosen, explains various bottlenecks and their affect. I had worked with KMeans before, and happy to see as part of bench-marking, as it seems one of the more widely used approaches for unsupervised learning. In my view, Thrill is similar in composite-ability and integration into existing code objectives to Python's Dask