One of the exiting forays into combining big data and HPC is AMPLab,
whose vision is to integrate algorithms, machines and people to make
sense of big data.
AMP stands for “Algorithms, Machines, and
People” and the AMPLab is a five-year collaborative effort at UC Berkeley,
involving students, researchers and faculty from a wide swath of
computer science and data-intensive application domains to address the
Big Data analytics problem.
AMPLab envisions a world where massive data, cloud computing,
communication and people resources can be continually, flexibly and
dynamically be brought to bear on a range of hard problems by people
connected to the cloud via devices of increasing power and
sophistication.
Founded by Amazon, Google and SAP, and powered by
Berkeley, the group has already established a big data architecture
framework and several applications that they have released to open
source.
AMP Lab benefits from some real life data center workloads by
analyzing the activity logs of real life, front line systems of up to
1000s of nodes servicing 100s of PB of data.
This post is part of jBook - Big Data HPC
Update:
- 2012.09.23: original post
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