Approximate Analytics: Keeping Pace with Big Data using Parallel Locality Sensitive Hashing

By Narayanan Sundaram and Nadathur Satish, Intel Parallel Computing Lab We tend to think of big data problems as those involving finding a needle in a haystack. However, many big data problems tend to be those estimating the shape or … Continue reading

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Benchmarking Graph Databases

ByAlekh Jindal, MIT CSAIL Graph data management has recently received a lot of attention, particularly with the explosion of social media and other complex, inter-dependent datasets. As a result, a number of graph data management systems have been proposed. But … Continue reading

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GenBase: A Benchmark for the Genomics Era

By Rebecca Taft, MIT CSAIL* Genomics is quickly becoming the focus of many Big Data scientists due to the seemingly sudden availability of vast amounts of data.  As mentioned in a previous post, a single gene-sequencing facility can sequence 2000 … Continue reading

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Unleashing NASA MODIS Data for Earth and Ocean Scientists

By Leilani Battle, MIT CSAIL; James Frew, University of California, Santa Barbara; and Bill Howe, University of Washington With the massive influx of data streaming in from telescopes, satellites, sequencers, imagers and other instruments, research in the physical and biological … Continue reading

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