GFlink: An In-Memory Computing Architecture on Heterogeneous CPU-GPU Clusters for Big Data

The increasing main memory capacity and the explosion of big data have fueled the development of in-memory big data management and processing. By offering an efficient in-memory parallel execution model which can eliminate disk I/O bottleneck, existing in-memory cluster computing platforms (e.g., Fl...

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