AMPLab
AMPLAB was a University of California, Berkeley lab focused on big data analytics located in Soda Hall. The name stands for the Algorithms, Machines and People Lab. It has been publishing papers since 2008 and was officially launched in 2011. The AMPLab was co-directed by Professor Michael J. Franklin, Michael I. Jordan, and Ion Stoica. While AMPLab has worked on a wide variety of big data projects (known as BDAS, the Berkeley Data Analytics Stack), many know it as the lab that invented Apache Mesos, and Apache Spark, and Alluxio. Berkeley launched RISELab as the successor to AMPLab in 2017.
AMPLAB was a University of California, Berkeley lab focused on 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, Michael I. Jordan, and 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,[6] and Apache Spark,[7] and Alluxio.[8]
Berkeley launched RISELab[9] as the successor to AMPLab in 2017.[10]
References
[edit]- ^ "AMPLab Releases Succinct, A New Way to Query Data in Spark". Datanami. 2015-11-11. Retrieved 2016-06-06.
- ^ Harris, Derrick. "Gigaom". Retrieved 2016-06-06.
{{cite web}}: CS1 maint: deprecated archival service (link) - ^ "Publications | AMPLab – UC Berkeley". AMPLab - UC Berkeley. Retrieved 2018-01-29.
- ^ "About". AMPLab - UC Berkeley. Retrieved 2018-01-29.
- ^ "BDAS, the Berkeley Data Analytics Stack".
- ^ "Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center" (PDF).
- ^ "Spark: Cluster computing with working sets" (PDF).
- ^ "Tachyon: Reliable, Memory Speed Storage for Cluster Computing Frameworks" (PDF).
- ^ "RISELab".
- ^ "Berkeley launches RISELab, enabling computers to make intelligent real-time decisions".
External links
[edit]
 | This California-related article is a stub. You can help Wikipedia by adding missing information. |