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Accelerating your research with Microsoft Azure
The document discusses various aspects of data-intensive research, including data acquisition, modeling, collaboration, and visualization. It highlights cloud computing's role in facilitating advanced analytical services and research collaboration. Additionally, it offers insights into different computational architectures and resources available for handling large datasets.
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- 2. 𝜌 𝐷𝑣 𝐷𝑡 = −𝛻𝑝 +𝛻 ∙ 𝜯 + 𝒇
- 3. Data Acquisition & modelling Collaboration and visualisation Analysis & datamining Dissemination & sharing Archiving and preserving fourthparadigm.org Data-intensive Research
- 4. X-Info • Data ingest •Managing a petabyte • Common schema • How to organize it • How to reorganize it • How to share with others • Query and Vis tools • Building and executing models • Integrating data and Literature • Documenting experiments • Curation and long-term preservation The Generic Problems Experiments & Instruments Simulations Literature Other Archives facts facts facts facts Questions Answers
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- 16. A-series • 1-16 cores •0.75-112GB RAM • 20-605 GB HDD • Up to InfiniBand 40Gbit/s RDMA network (MPI) D-series • 1-16 cores • 3.5-112 GB RAM • Up to 800GB SSD G-series • 32 cores • 468 GB RAM • 6.5 TB SSD
- 18. Parker MacCready: Univ.of Washington Rob Fatland:, Wenming Ye, Nels Oscar, Microsoft Research
- 20. Modeling Workflow Forcing Data Processedinto Standard Format Output MODEL Model-specific Forcing Files Raw Forcing Data Observations Processed into Standard Format SKILL TESTRaw Observational Data Skill Result ROMS Cluster 200 cores 1 week/year 2 TB per model year Standard Post Processing 1 week
- 21. LiveOcean: Hybrid Architecture HPC linux150 cores Forecast NetCDF files LiveOcean Server • Post Processing • Pre-make .png “views” • Archive NetCDF files • API for web sites • Admin.js • Client.js Blob Storage: Forecast Copy Science User pythonAzure Table: Log Info Admin Website Client Website http://mappable.azurewebsites. net/liveocean/ Rivers USGS Atmosphere UW WRF Ocean HYCOM
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- 30. “The Azure forResearch programme has helped the Marine Institute and our research partners understand how cloud computing can be used to advance collaborative marine research including by making on-demand compute and advanced analytical data services much more easily available to virtual research teams.” Eoin O’Grady, Information Services and Development Manager, Marine Institute (Ireland)
- 32. British Library Labscloud analysis of digital catalogues, including 19th Century books scanned by Microsoft. @MechCuratorBot mechanicalcurator.tumblr.com
- 34. RaaS SaaS PaaS IaaS Cloud Services Research collaborationand data lifecycle services Data management, application services, collaboration tools. Programming abstractions, database support, runtime systems Virtual machines, reliable storage, provisioning tools, network bandwidth Research Marketplace Analytics services and expert consulting Domain specific applications and data access Advanced development tools and libraries to SaaS developers Specially configured virtual machine templates
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- 36. Use laptops & desktopcomputers Overwhelmed by data Finding analysis ever more difficult; sharing even harder www.azure4research.com
- 37. Azure for ResearchRussia Special Awards • 250,000 compute hours, 20TB storage, machine learning, NoSQL and more… • Apply by 15 Aug’15 at http://aka.ms/azureresearchrussia
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