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Flare - An Accelerator for Apache Spark

Scale up Apache Spark with Native Compilation. And set your Data on Fire! We're 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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Flare - An Accelerator for Apache Spark | flaredata.github.io Reviews
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Scale up Apache Spark with Native Compilation. And set your Data on Fire! We're 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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Flare - An Accelerator for Apache Spark | flaredata.github.io Reviews

https://flaredata.github.io

Scale up Apache Spark with Native Compilation. And set your Data on Fire! We're 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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flaredata.github.io flaredata.github.io
1

Flare - An Accelerator for Apache Spark

https://flaredata.github.io/2016/10/26/numa-parallel.html

October 26, 2016. Laquo; TPC-H On a Single Core. We looked at Spark performance with and without Flare for the TPC-H suite of 22 queries. We were mainly interested in single core performance, to gauge the inherent overheads in Spark, and we showed that Flare can reduce those by one or even two orders of magnitude. But of course, once we obtain good performance on a single core, we want to scale. So, here we have a single machine processing a dataset of roughly 80 GB in about 250 ms. Note that we are comp...

2

Flare - An Accelerator for Apache Spark

https://flaredata.github.io/2016/09/30/q6-spark-vs-c-on-a-laptop.html

Spark is Fast, but how Fast? September 30, 2016. TPC-H On a Single Core ». This blog post is the first in a series to introduce Flare. A drop-in accelerator for Apache Spark that delivers (sometimes massive) speedups by compiling queries to native code. Query Compilation in Spark 2.0. Performance has been a key focus of the Spark team for quite some time. And truly impressive progress. Has been made in 2015 and 2016. Spark 2.0 sports a query engine that even generates JVM bytecode. Scala val tpchq6 = " "...

3

Flare - An Accelerator for Apache Spark

https://flaredata.github.io/2016/10/19/tpch-sequential.html

TPC-H On a Single Core. October 19, 2016. Laquo; Spark is Fast, but how Fast? NUMA-Aware Parallelization ». In our last post. We looked at the performance of Spark vs hand-written C code for a single query, Q6, from the standard TPC-H benchmark. We saw that Flare is able to accelerate the Spark query by a factor of 20x, to exactly the same performance as the hand-written C program. Quoting Paul Barham via Frank McSherry. What does this mean for scalability? By using each individual core much more efficie...

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Flare - An Accelerator for Apache Spark

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