# AMPLab

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UC Berkeley research lab

**AMPLAB** was a [University of California, Berkeley](/source/University_of_California%2C_Berkeley) lab focused on [big data](/source/Big_data) analytics located in Soda Hall. The name stands for the Algorithms, Machines and People Lab.[1][2] It has been publishing papers since 2008[3] and was officially launched in 2011.[4] The AMPLab was co-directed by Professor [Michael J. Franklin](/source/Michael_J._Franklin), [Michael I. Jordan](/source/Michael_I._Jordan), and [Ion Stoica](/source/Ion_Stoica).

While AMPLab has worked on a wide variety of big data projects (known as BDAS, the Berkeley Data Analytics Stack[5]), many know it as the lab that invented [Apache Mesos](/source/Apache_Mesos),[6] and [Apache Spark](/source/Apache_Spark),[7] and [Alluxio](/source/Alluxio).[8]

Berkeley launched RISELab[9] as the successor to AMPLab in 2017.[10]

## References

1. **[^](#cite_ref-1)** ["AMPLab Releases Succinct, A New Way to Query Data in Spark"](http://www.datanami.com/2015/11/11/amplab-releases-succinct-a-new-way-to-query-data-in-spark/). *Datanami*. 2015-11-11. Retrieved 2016-06-06.

1. **[^](#cite_ref-2)** Harris, Derrick. ["Gigaom"](https://gigaom.com/2014/08/02/the-lab-that-created-spark-wants-to-speed-up-everything-including-cures-for-cancer/). Retrieved 2016-06-06.{{[cite web](https://en.wikipedia.org/wiki/Template:Cite_web)}}: CS1 maint: deprecated archival service ([link](https://en.wikipedia.org/wiki/Category:CS1_maint:_deprecated_archival_service))

1. **[^](#cite_ref-3)** ["Publications | AMPLab – UC Berkeley"](https://amplab.cs.berkeley.edu/publication). *AMPLab - UC Berkeley*. Retrieved 2018-01-29.

1. **[^](#cite_ref-4)** ["About"](https://amplab.cs.berkeley.edu/about/). *AMPLab - UC Berkeley*. Retrieved 2018-01-29.

1. **[^](#cite_ref-5)** ["BDAS, the Berkeley Data Analytics Stack"](https://amplab.cs.berkeley.edu/software/).

1. **[^](#cite_ref-6)** ["Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center"](https://people.eecs.berkeley.edu/~alig/papers/mesos.pdf) (PDF).

1. **[^](#cite_ref-7)** ["Spark: Cluster computing with working sets"](http://static.usenix.org/legacy/events/hotcloud10/tech/full_papers/Zaharia.pdf) (PDF).

1. **[^](#cite_ref-8)** ["Tachyon: Reliable, Memory Speed Storage for Cluster Computing Frameworks"](https://haoyuanli.com/papers/2014_SOCC_tachyon.pdf) (PDF).

1. **[^](#cite_ref-9)** ["RISELab"](https://rise.cs.berkeley.edu/).

1. **[^](#cite_ref-10)** ["Berkeley launches RISELab, enabling computers to make intelligent real-time decisions"](https://engineering.berkeley.edu/news/2017/01/berkeley-launches-riselab-enabling-computers-to-make-intelligent-real-time-decisions/).

## External links

- [Official website](https://amplab.cs.berkeley.edu/)

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