// ADAPT Science Cloud
NCCS LARGE SCALE DATA ANALYTICS
ADAPT in its current manifestation is a managed virtual machine (VM) environment most closely resembling a platform as a service (PaaS) cloud. Incorporating storage, compute, and cloud computing capabilities, this managed virtual machine (VM) environment is specifically designed for large-scale data analytics.
The architecture features three hundred plus physical hypervisors that host one or more virtual machines (VM). Running VM’s have access to a shared, centralized data repository that is currently on the order of 8 PBs raw. For user convenience, shared home and NOBACKUP directories are mounted on all VM’s. ADAPT assumes an embarrassingly parallel workflow, meaning VM’s work autonomously, requiring little or no communication with other VM’s. (MPI type jobs are better suited for Discover). The goal of ADAPT is to provide a 'local' type user experience using virtual resources.
ADAPT incorporates several recent innovations from the IT community, many of which have been researched within the NCCS. These technologies include virtualized high-speed ethernet networks, a high-performance file system and object storage environment, and virtual systems—all deployed in a cyberinfrastructure specifically designed for data-intensive science applications.
// Using ADAPT
Everything you need to know about how to work with ADAPT:
- Best practices
- Operating Systems
- User FAQ’s
ADAPT was awarded HPCWire’s Reader’s Choice award 2 years in a row.
HPCWire Reader’s Choice Award 2015
A team from the NASA Center for Climate Simulation, Cycle Computing, Amazon Web Services (AWS), and Intel Corp. received…
HPCWire Reader’s Choice Award 2016
A private cloud supporting NASA Earth scientists has won a 2016 HPCwire Readers’ Choice Award at the international SC16 …
// Account Information
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