2013 DataCite Summer Meeting - DOIs and Supercomputing (Terry Jones - Oak Ridge National Laboratory)


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2013 DataCite Summer Meeting - Making Research better
DataCite. Co-sponsored by CODATA.

Thursday, 19 September 2013 at 13:00 - Friday, 20 September 2013 at 12:30

Washington, DC. National Academy of Sciences

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  • Scientific breakthroughs change our lives:* Explained photosynthesis. Ever wonder how plants turn sunlight into energy? A National Lab scientist determined the path of carbon through photosynthesis, a scientific milestone that illuminated one of life’s most important processes. Today, this work allows scientists to explore how to derive sustainable energy sources from the sun.*Made refrigerators cool.Next-generation refrigerators will likely put the freeze on harmful chemical coolants in favor of an environmentally friendly alloy, thanks to National Lab scientists.* Brought safe water to millions.Removing arsenic from drinking water is a global priority. A long-lasting particle engineered at a National Lab can now do exactly that, making contaminated water safe to drink. Another technology developed at a National Lab uses ultraviolet light to kill microbes that cause water-borne diseases such as dysentery. This process has reduced child mortality in the developing world.Put the digital in DVDsThe optical digital recording technology behind music, video, and data storage originated at a National Lab nearly 40 years ago.Tamed hydrogen with nanoparticlesTo replace gasoline, hydrogen must be safely stored and easy to use, but this has proved elusive. National Lab researchers have now designed a new pliable material using nanoparticles that can rapidly absorb and release hydrogen without ill effects, a major step in making fuel-cell powered cars a commercial reality
  • Exabyte comes after PettabyteThen ZettabyteThen Yottabyte
  • In May, an OMB memo and an Executive Order were released in support of the Holdren memo
  • Opens the door to other vast communities (as evidenced by the wide-ranging audience at this meeting)
  • Previously, users did not have a tool to identify what is important to them, which resulted in indiscriminately storing all intermediate snapshot data from scratch storage into archival storage. However, with DOIs, there is now a means to identify datasets of value, which may change this user behavior, resulting in manageable data sizes. This has ramifications to the provisioning of center storage resources.
  • Tie-in to DataCite attendees; one thing we liked about the DataCite philosophy that will help us is the landing page philosophy will help us (anyone can go to the landing page)Some data could be embargoed (but available to others later)
  • 2013 DataCite Summer Meeting - DOIs and Supercomputing (Terry Jones - Oak Ridge National Laboratory)

    1. 1. DOIs and Supercomputing DataCite Summer 2013 Meeting Terry Jones, Sudharshan Vazhkudai, Doug Fuller Oak Ridge National Laboratory
    2. 2. DataCite Summer 2013 / Washington DC Why Supercomputers!? Because Innovation Drives The Economy… • Over the last 5 years, 38% of the international innovation “R&D 100” awards went to US National Labs 0 5 10 15 20 25 30 35 40 45 50 2009 2010 2011 2012 2013 • This was done with YOUR tax money • Ideas shape the course of history – John Maynard Keynes • The central goal of economic policy should be to spur higher productivity through greater innovation – Joseph Schumpeter‟s Innovation Economics
    3. 3. DataCite Summer 2013 / Washington DC Why Supercomputers!? (part 2) …And in 2013, Supercomputers Drive Innovation Computers have changed the way we conduct experiments. Given enough computer power, we can perform accurate experiments more quickly, more cheaply, and often with greater control.
    4. 4. DataCite Summer 2013 / Washington DC The New Laboratory: High-Performance Computing yields breakthroughs H = - 2 2mi Ñi 2 i=1 n å - eiej riji¹j n å
    5. 5. DataCite Summer 2013 / Washington DC Big Problems Require Big Solutions Energy Healthcare Competitiveness OLCF resources are available to academia and industry through open, peer-reviewed allocation mechanisms.
    6. 6. DataCite Summer 2013 / Washington DC • High Performance Production Computing for the Office of Science • Characterized by a large number of projects (over 400) and users ( over 4800) • Leadership Computing for Open Science • Characterized by a small number of projects ( about 50) and users (about 800) with computationally intensive projects • Linking it together – ESnet • Investing in the future – R&E Prototypes ESnet Titan at ORNL (#2) Mira at ANL (#5) Hopper at LBNL (#24) June 2013 DOE Office of Science HPC User Facilities
    7. 7. DataCite Summer 2013 / Washington DC DOE Office of Science HPC User Facilities
    8. 8. DataCite Summer 2013 / Washington DC With Big Computations Comes Big Data • DOE HPC User Facilities produce enormous volumes of data • Each User Facility has tertiary (archival) storage, often HPSS – statistics for one such computer center pictured here • In addition, each center provides secondary storage – for example: a 10PB Lustre parallel file system
    9. 9. DataCite Summer 2013 / Washington DC • Part of a Collaborative DOE Office of Science program at ORNL and ANL • Mission: Provide the computational and data resources required to solve the most challenging problems. • Access to the most powerful computer in the world for open access computing (Titan) • Highly competitive user allocation programs (INCITE, ALCC). • Projects receive 10x to 100x more resource than at other generally available centers. • OLCF centers partner with users to enable science & engineering breakthroughs (Liaisons, Catalysts). Oak Ridge Leadership Computing Facility (OLCF) -- A Leading DOE User Facility
    10. 10. DataCite Summer 2013 / Washington DC We have increased our system capability by 10,000 times since 2004 • Strong partnerships with supercomputer vendors. • LCF users employ large portions of the machine for large fractions of time. • Strong partnerships with our users to scale codes and algorithms.
    11. 11. DataCite Summer 2013 / Washington DC OLCF Future (Based On Extrapolation) Jaguar: 2.3 PF Leadership system for science Titan (OLCF-3): 10–20 PF Leadership system 2009 2012 2016 2019 OLCF-5: 1 EF OLCF-4: 100–250 PF • Computer system performance increases through parallelism – Clock speed trend flat to slower over coming years – In the last 28 years, systems have scaled from 64 cores to ~300,000 – Applications must utilize all inherent parallelism • Our compute and data resources have grown 10,000X over the decade, are in high demand, and are effectively used.
    12. 12. DataCite Summer 2013 / Washington DC The Data Deluge 2013 4PB disk & 34PB tape [Titan] 2017 64PB disk & 600PB tape [Coral] 2021 1EB disk & 10EB tape (?) • Key Challenge: Make Sense of So Much Data • We‟ll Need Better Tools • If “many hands make light work,” how can we enable more people to make sense of the data?
    13. 13. DataCite Summer 2013 / Washington DC What Breakthroughs Are We Missing? • HPC will remain important to Scientific Discovery – Important for Climate, Material Science, Energy Security • Today, the state-of-the-art is (still!) bibliographic publications • But The Gains From Bibliographic Sharing Are Limited – Constraints in paper length – Limited Focus of paper – Limited ability to convey with graphs, figures, tables • Urgently Needed: A Quick Way To „Enable‟ Data
    14. 14. DataCite Summer 2013 / Washington DC New External Drivers for Supercomputing Centers • The push is on to squeeze more results from High-Performance Computing – Scientists have difficulty in replicating (or even understanding) other‟s results – Tax payers want more openness – The Holdren memo
    15. 15. DataCite Summer 2013 / Washington DC Our Response: Make Supercomputer Produced Data As Widely Available As Possible • DOIs provide the necessary mechanism & implementation • Makes sense for OLCF (uniquely qualified for 100TB datasets) • Will benefit from DataCite‟s integration with Thomson Reuter‟s data citation index and other services. • Already successful for sensor-driven research like NASA • As research goes forward, the project Principal Investigator stores “appropriate data” – Presumably, if data can support a bibliographic result (graph, figure, data), the data is worth curation. • After curation, the data is available to the entire scientific community ✔ Helps OLCF with „research tracking‟ ✔ Helps OLCF with „reporting to sponsors‟ ✔ Helps OLCF resolve data disposition questions ✔ All The Traditional Benefits To Researchers
    16. 16. DataCite Summer 2013 / Washington DC DOI BenefitsDOI Benefits • Identify & Cite key data products of interest and value, and annotate them. • Safely share data with their collaborators even before publishing the result in a scientific communication. • Future data analyses can easily feed off of the data products, fostering a highly dynamic, and collaborative environment. From User‟s Perspective, DOIs can: From Sponsor‟s Perspective, DOIs can: • Help with research tracking and identifying the major results coming out of a project allocation on the center‟s resources. • Aid in reporting to sponsors. • Since the DOIs also capture some basic metadata along with the index, it can help the center to answer questions on the disposition of the data, search and discover them. From Center‟s Perspective, DOIs can: • Added benefit of seeing data sharing flourish within the community, and more data analyses spawned from the data products. • Both users and centers that the sponsor funds now have rich tools for data management. • Preserve data products for a longer-term, much beyond the expiration of their projects at the centers. • Satisfy requirements from funding agencies on data management plans in terms of long-term preservation, sharing and dissemination of research results. • DOIs enable more value for the dollar spent. In addition to software tools, research artifacts, and papers, there is now a new entity, the citable data product. • Better utilization of HPC center resources. • Provides a tool the to cull the data holdings. Provide tangible policies to users for long-term data preservation. • Evolve to support “data-only” users through data science tools such as DOIs. • Provide an opportunity for our center to distinguish itself from other centers (they have the best data tools)
    17. 17. DataCite Summer 2013 / Washington DC Workflow for DOI Creation 1. User creates data 2. User requests DOI 3. ORNL requests DOI 4. OSTI provides DOI 5. DOI stored at data portal 6. Request Permanent Data Copy 7. Data Migrated to Archive 8. Archive success response 9. DOI success response
    18. 18. DataCite Summer 2013 / Washington DC Workflow for DOI Data Retrieval 1. User provides search criteria 4. Request Data Subset 5. Data Migrated for Upload 2. Matches found via Metadata 3. User identifies needed data 6. User retrieves data
    19. 19. DataCite Summer 2013 / Washington DC Some Challenges Are Expected • How will permanent data storage be funded? – Projects last 3 years. • Researchers are affiliated with institutions that have their own data policies. – For example, the Princeton Plasma Physics Lab may have policies affecting how we can support it‟s fusion projects. • Some fields will require effort to make their data “portable” for a wide audience. – Astrophysics has a standard file format, Fusion does not. • Developing good metadata is a human intensive effort – Getting PIs to provide the metadata – Looking to OSTI & DataCite for some help with DOI Q&A
    20. 20. DataCite Summer 2013 / Washington DC …More Challenges • What about Authenticated access to data? Or malicious users in general... • What about the long-term QA aspects of maintaining data? • What about the logistics of very large data? – Staging – Retrieving huge files (can‟t be on disk) Where’s The Data?
    21. 21. DataCite Summer 2013 / Washington DC Current Project Status • Provided a DOI recommendation for the Center – Pros and Cons – Long term implications • Designed the Workflow • Created infrastructure to support the workflow – Frontend infrastructure for storing & DOI association – Backend infrastructure for search & retrieval • Having conversations with a few selected HPC user communities 1. Astrophysics 2. Groundwater Simulation 3. Climate 4. Turbulence 5. Fusion
    22. 22. DataCite Summer 2013 / Washington DC Summary • High Performance Computing & Data are integral to scientific discovery • Bibliographic publications cannot contain the wealth of insight available in the raw data • ORNL is leading an effort to make HPC data available to all with DOIs • In the future, “Publish” to a scientist will probably refer to obtaining a DOI for a supercomputer dataset
    23. 23. DataCite Summer 2013 / Washington DC Acknowledgements • OLCF DOI Team – Sudharshan Vazhkudai – Doug Fuller – Terry Jones This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725. • OSTI Support – Mark Martin – Jannean Elliott • ORNL Support – Jack Wells – Giri Palanisamy – John Cobb – Stan White
    24. 24. DataCite Summer 2013 / Washington DC Questions? trj@ornl.gov
    25. 25. DataCite Summer 2013 / Washington DC Extra Viewgraphs
    26. 26. DataCite Summer 2013 / Washington DC High-Temperature Superconductivity Biofluidic Systems Plasma Physics Cosmology Taking a Quantum Leap in Time to Solution for Simulations of High-TC Superconductors 19 Petaflops Simulation of Protein Suspensions in Crowding Conditions Radiative Signatures of the Relativistic Kelvin-Helmholtz Instability HACC: Extreme Scaling and Performance Across Diverse Architectures Titan Titan Titan Sequoia, Mira, Titan How Does The OLCF Compare With Other Centers? Peter Staar ETH Zurich Massimo Bernaschi ICNR-IAC Rome Michael Bussmann HZDR - Dresden Salman Habib ANL Four of Six SC13 Gordon Bell Finalists Used Titan
    27. 27. DataCite Summer 2013 / Washington DC The New Laboratory (continued): High-Performance Computing is widely applicable