Green-Marl: a DSL for easy and efficient graph analysis
ASPLOS XVII Proceedings of the seventeenth international conference on Architectural Support for Programming Languages and Operating Systems
Large-scale energy-efficient graph traversal: a path to efficient data-intensive supercomputing
SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Moving from petaflops to petadata
Communications of the ACM
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People today typically judge supercomputers in terms of their raw number-crunching power, for example by asking how many linear algebra problems they can solve in a second. But, the scientists argue, the lion's share of challenging supercomputing problems in the 2010s requires quick and efficient processing of petabyte and exabyte-size data sets. And good number crunchers are sometimes bad exascale sifters.