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Towards co-designed optimizations in parallel frameworks: A MapReduce case study
[article]
2016
arXiv
pre-print
The explosion of Big Data was followed by the proliferation of numerous complex parallel software stacks whose aim is to tackle the challenges of data deluge. A drawback of a such multi-layered hierarchical deployment is the inability to maintain and delegate vital semantic information between layers in the stack. Software abstractions increase the semantic distance between an application and its generated code. However, parallel software frameworks contain inherent semantic information that
arXiv:1603.09679v1
fatcat:2zs7ryyz4nd6bammpsz5htbfzu