flaredata github.io

Flare - An Accelerator for Apache Spark

Scale up Apache Spark with Native Compilation. And set your Data on Fire! Were now accepting applications for our private beta program. Set your Data on Fire. Flare is a drop-in accelerator for Apache Spark 2.0 that achieves order of magnitude speedups on DataFrame and SQL workloads. October 26, 2016. TPC-H On a Single Core. October 19, 2016. Spark is Fast, but how Fast? September 30, 2016. Spark performance has made impressive progress thanks to Catalyst. Big Memory and Many Cores. While Spark was prim.
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The site flaredata.github.io presently has a traffic classification of zero (the lower the more traffic). We have crawled three pages within the web page flaredata.github.io and found one website referencing flaredata.github.io. We have unearthed one public web sites acquired by flaredata.github.io.
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LINKS TO FLAREDATA.GITHUB.IO

Tiark Rompf

My primary goal is to make high-level languages and programming techniques usable for performance critical systems. To that end, my research focuses on generative programming, which can turn highly generic programs into specialized and efficient implementations.

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Flare - An Accelerator for Apache Spark

DESCRIPTION

Scale up Apache Spark with Native Compilation. And set your Data on Fire! Were now accepting applications for our private beta program. Set your Data on Fire. Flare is a drop-in accelerator for Apache Spark 2.0 that achieves order of magnitude speedups on DataFrame and SQL workloads. October 26, 2016. TPC-H On a Single Core. October 19, 2016. Spark is Fast, but how Fast? September 30, 2016. Spark performance has made impressive progress thanks to Catalyst. Big Memory and Many Cores. While Spark was prim.

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The site had the following in the web page, "Scale up Apache Spark with Native Compilation." I observed that the web site stated " And set your Data on Fire! Were now accepting applications for our private beta program." They also stated " Set your Data on Fire. Flare is a drop-in accelerator for Apache Spark 2. 0 that achieves order of magnitude speedups on DataFrame and SQL workloads. TPC-H On a Single Core. Spark is Fast, but how Fast? September 30, 2016. Spark performance has made impressive progress thanks to Catalyst. Big Memory and Many Cores."

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