CI Funding Opportunities and
the Shifting Landscape
Barr von Oehsen
Executive Director, Cyberinfrastructure Technology Integration
CCIT, Clemson University
NSF CC*IIE Virtual Residency 2015
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FUNDING OPPORTUNITIES
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CC*NIE, CC*IIE, CC*DNI
• The Campus Cyberinfrastructure - Data, Networking, and Innovation (CC*DNI)
program invests in campus-level data and networking infrastructure and
integration activities tied to achieving higher levels of performance, reliability
and predictability for science applications and distributed research projects.
Science-driven requirements are the primary motivation for any proposed
activity. CC*DNI awards will be made in seven areas:
• Data Infrastructure Building Blocks (DIBBs) - Multi-Campus/Multi-Institution
Model Implementations awards will be supported at up to $5,000,000 total for up
to 5 years.
• Data Driven Networking Infrastructure for the Campus and Researcher awards will
be supported at up to $500,000 total for up to 2 years.
• Network Design and Implementation for Small Institutions awards will be
supported at up to $350,000 total for up to 2 years.
• Network Integration and Applied Innovation awards will be supported at up to
$1,000,000 total for up to 2 years.
• Campus CI Engineer awards will be made at up to $400,000 total for up to 2 years.
• Regional Coordination and Partnership in Advanced Networking awards will be
made at up to $150,000 for up to 2 years.
• Instrument Networking awards will be supported at up to $400,000 for up to two
years.
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Major Research Instrumentation
(MRI)
• The Major Research Instrumentation Program (MRI) serves to increase access to shared
scientific and engineering instruments for research and research training in our Nation's
institutions of higher education, not-for-profit museums, science centers and
scientific/engineering research organizations. The program provides organizations with
opportunities to acquire major instrumentation that supports the research and research
training goals of the organization and that may be used by other researchers regionally or
nationally.
• Each MRI proposal may request support for the acquisition (Track 1) or development (Track
2) of a single research instrument for shared inter- and/or intra-organizational
use. Development efforts that leverage the strengths of private sector partners to build
instrument development capacity at MRI submission-eligible organizations are encouraged.
• The MRI program assists with the acquisition or development of a shared research
instrument that is, in general, too costly and/or not appropriate for support through other
NSF programs. The program does not fund research projects or provide ongoing support
for operating or maintaining facilities or centers.
• Cost-sharing of precisely 30% of the total project cost is required for Ph.D.-granting
institutions of higher education and for non-degree-granting organizations. Non-Ph.D.granting institutions of higher education are exempt from cost-sharing and cannot include
it. National Science Board policy is that voluntary committed cost sharing is prohibited.
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CISE Research Infrastructure
(CRI)
• The CISE Research Infrastructure (CRI) program drives discovery and learning in the core
CISE disciplines of the three participating CISE divisions by supporting the creation and
enhancement of world-class research infrastructure that will support focused research
agendas in computer and information science and engineering. This infrastructure will
enable CISE researchers to advance the frontiers of CISE research. Further, through the CRI
program CISE seeks to ensure that individuals from a diverse range of academic institutions,
including minority-serving and predominantly undergraduate institutions, have access to
such infrastructure. The CRI program supports two classes of awards:
• Institutional Infrastructure (II) awards support the creation of new (II-NEW) CISE research
infrastructure or the enhancement (II-EN) of existing CISE research infrastructure to enable
world-class CISE research opportunities at the awardee and collaborating institutions.
• Community Infrastructure (CI) awards support the planning (CI-P) for new CISE community
research infrastructure, the creation of new (CI-NEW) CISE research infrastructure or
the enhancement (CI-EN) of existing CISE infrastructure to enable world-class CISE research
opportunities for broad-based communities of CISE researchers that extend well beyond the
awardee institutions. Each CI award may support the operation of such infrastructure,
ensuring that the awardee institution(s) is (are) well-positioned to provide a high quality of
service to CISE community researchers expected to use the infrastructure to realize their
research goals.
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Defense University Research
Instrumentation Program (DURIP)
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Program Description
• The Defense University Research Instrumentation Program (DURIP) supports university research infrastructure
essential to high-quality Navy relevant research. The research instrumentation that is necessary to carry out
cutting-edge research.
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Research Areas of Interest
• Each year that DURIP is in effect, a complete announcement will provide detailed program information,
including the deadline date for submitting proposals. DURIP proposals submitted to ONR should facilitate
research in an area of interest to ONR, as described in the Science and Technology section. Potential
proposers may contact the appropriate program managers, listed with each area of interest, to explore
possible mutual interests before submitting proposals.
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Conditions
• DURIP funds will be used for the acquisition of major equipment to augment current or develop new research
capabilities in support of DoD-relevant research. Proposals may request $50,000 to $1,000,000. Proposals for
purely instructional equipment are not eligible. General-purpose computing facilities are not appropriate for
DURIP funding, but requests for computers for DoD-relevant research programs are appropriate.
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Funds provided under DURIP may not be used for the construction or modification of buildings, building
support systems (e.g., heating/ventilation/air conditioning, plumbing and electrical), or fixed equipment (e.g.,
clean rooms and fume hoods). Proposed budgets can include costs (e.g., machine shop expenses) for
constructing, assembling and/or installing equipment, but the budget may not request funding for salaries of
faculty, postdoctoral associates or students. Costs for continued operation and maintenance are not eligible
for consideration. This competition is open to U.S. institutions of higher education with degree granting
programs in science, math or engineering.
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Shared Instrumentation Grant (SIG)
Program (S10)
• Similar to NSF MRI
• S10 Biomedical Research Support Shared Instrumentation
Grants
• There is no limit on the number of applications an institution
may submit, provided the applications are for different types
of equipment
• The Shared Instrument Grant (SIG) program encourages
applications from groups of NIH-supported investigators to
purchase or upgrade a single item of expensive, specialized,
commercially available instruments or integrated systems that
cost at least $50,000. The maximum award is $600,000.
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Important Things to Consider
• You have to include science story(ies)
• The academic and IT departments need to form
partnerships/collaborations
• Intellectual Merit
• potential to advance knowledge
• Broader Impacts
• potential to benefit society and help achieve specific, desired
societal outcomes
• Data management plans
• CI Plans
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CAMPUS CI PLANS
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Why a CI Plan?
• Proves to NSF (or other funding agencies) that you are serious
about this
• Only part of CC*, but will most likely be adopted by others
• Shows you have done homework with others on your campus
and at least have talked to community.
• Hopefully shows there is a direction your headed that makes
sense for IT/researchers/educators.
• CI is not just about networking.
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What is Important?
• Shows you have a goal that affects/supports the
research/educational community on your campus.
• Can be a way to drive campus funding/ priorities.
• Provides proof that what your asking for in proposal is not
tangential or wasted.
• Be able to change plan as conditions change.
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Examples of CI Plans
• http://fasterdata.es.net/campusCIplanning/
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SHIFTING LANDSCAPE IN CI FUNDING
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Where did we come from?
• NSF HPC evolution
• Centers>PACI>TeraGrid>XSEDE>Reports>Reports on
Reports
• Campuses growing in parallel
• MRIs, CRIs, start-up packages
• Condo and co-lo approaches
• Other drivers for campus aggregation….
• Security; power and cooling; big data
• Above-the-desktop computing needs growing at an
accelerated pace…GIS comes to mind
• Training and education gap between resources and
researchers – high barrier to entry without human
assistance
• …and the barriers become higher as we bring in new
communities
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Core#Hours#Delivered/Month#(in#Millions)#
Millions#
Reference Point - Scale
160"
145#
142#
140"
120"
100"
86#
83#
84#
77#
80"
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72#
67#
60"
61#
40"
83#
50#
47#
48#
66#
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88#
79#
84#
66#
ACI+REF"Delivered"Monthly"
XSEDE"Delivered"Monthly""
73#
50#
20"
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0"
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Apr+14"
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Aug+14"
Month#
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Business growing: some real unusual
suspects
Department
Department
Hadoop Training Classes
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Bioengineering
CCIT HPC
CCIT Software Development
Chemical Engineering
Chemistry
Civil Engineering
Customer Rel & Learning Tech
Cyberinfrastructure Tech Integ
Economics
Elec. & Computer Engr.
Environmental Engr & Earth Sci
Experiential Education
General Engineering
Genetics & Biochemistry
Industrial Engineering
Infrastructure Services & Ops
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International Programs
Law Enforcement & Safety
Management
Mathematical Sciences
Mechanical Engineering
Medicaid IT Services
Network Services & Telecomm
Physics And Astronomy
Public Health Sciences
Research Safety
School of Ag for Env Science
School of Computing
Univ Facilities Support Svcs
VP Finance & Operations
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How is NSF addressing this?
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• $6.6-million NSF grant (Award #ACI-1445604) and will go into
production in January 2016.
• NSF’s first cloud dedicates top support for science and engineering
research across all areas of activity supported by the NSF
• Jetstream will be a user-friendly cloud environment designed to give
researchers and research students access to interactive computing
and data analysis resources “on demand.”
• It will provide a user-selectable library of virtual machines that users
can select from to do their research.
• Software creators and researchers will also be able to create their
own customized virtual machines -or- their own “private computing
system” within Jetstream.
• It will enable countless discoveries across disciplines such as biology,
atmospheric science, economics, network science, observational
astronomy, and social sciences.
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Jetstream User Community
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Biology
Earth Science/Polar Science
Field Station Research
Geographical Information Systems
Network Science
Observational Astronomy
Social Sciences
Jetstream will be particularly focused on researchers working
in the “long tail” of science with born digital data
• Enabling analysis of field-collected empirical data on the
impact and effects of global climate change will be one of the
specific foci of Jetstream
• Whatever you do
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Jetstream Interface
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Jetstream Design
PI: Dr. Craig Stewart, Indiana University
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• NSF Awards $12 Million to SDSC to Deploy “Comet” Supercomputer
• A new petascale supercomputer designed to transform advanced
scientific computing by expanding access and capacity among
traditional as well as non-traditional research domains
• Designed to be part of an emerging cyberinfrastructure for what is
called the ‘long tail’ of science, which encompasses the idea that a
large number of modest-sized computationally based research
projects still represents, in aggregate, a tremendous amount of
research and scientific impact
• Comet is now in the early operations phase. The machine is open to
all XSEDE users with Comet allocations. New users who wish to try
Comet can request allocations through normal XSEDE allocation
channels. This includes rapid access trial accounts.
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Comet Key Features
• Compute Nodes (1944 total)
• Intel Xeon E5-2680v3 2.5 GHz dual socket, 12 cores/socket; 320 GB SSD local
scratch memory; 120 GB/s memory bandwidth
• GPU Nodes (36 total)
• 2 NVIDIA K-80 GPUs per node; dual socket, 12 cores/socket; 128 GB DDR4 DRAM;
120GB/s memory bandwidth; 320 GB flash memory
• Large-memory Nodes (4 total)
• 1.5 TB total memory; 4 sockets, 12 cores/socket; 2.5 GHz
• Interconnect
• Hybrid Fat-Tree topology; 56 Gb/s (bidirectional) link bandwidth; 1.03-1.97 µs MPI
latency
• Lustre-based Parallel File System
• Access to Data Oasis
• Dedicated gateway/portal hosting nodes and a Virtual Image repositor
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XSEDE Level 2 Resources
• LSU SuperMIC
• ~$4M funded by the NSF MRI program.
• 40% to XSEDE
• Both Intel Xeon Phi and NVIDIA Kepler K20X GPUs
• Stanford X-GPU
• $3.5M funded by the NSF MRI program
• 25% to XSEDE
• Available to at least 25 research groups at Stanford and at least 8
collaborators from at least 7 other institutions across the nation
• 54 compute nodes using the Cray Hydra technology with FDR
Infiniband. Each node has Intel Haswell 12-cores; 8 NVIDIA
Kepler cards; 128 GB of DDR4 memory; a 120 GB SSD and two 1
TB hard drives
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www.CloudLab.us
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One of two $10M NSF awards for research in cloud computing
CloudLab provides a “meta-cloud” for building clouds
Build your own cloud on our hardware resources
Agnostic to specific cloud software…
• Run existing cloud software stacks (like OpenStack, Hadoop, etc.)
• … or new ones built from the ground up
• Control and visibility all the way to the bare metal
• “Sliceable” for multiple, isolated experiments at once
With CloudLab, it will be as easy to get a cloud
tomorrow as it is to get a VM today.
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CloudLab’s Hardware
One facility, one account, three locations
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About 5,000 cores each (15,000 total)
8-16 cores per node
Baseline: 4GB RAM / core
Latest virtualization hardware
Wisconsin
Clemson
• Storage and net.
• Per node:
• 128 GB RAM
• 2x1TB Disk
• 400 GB SSD
• Clos topology
• Cisco
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TOR / Core switching design
10 Gb to nodes, SDN
100 Gb to Internet2 AL2S
Partnerships with multiple vendors
High-memory
16 GB RAM / core
16 cores / node
Bulk block store
Net. up to 40Gb
High capacity
Dell
Utah
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Power-efficient
ARM64 / x86
Power monitors
Flash on ARMs
Disk on x86
Very dense
HP
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Community Outreach
• Applications in areas of national priority
• Medicine, emergency response, smart grids, etc.
• Through
• “Opt in” to compute jobs from domain scientists
• Summer camps
• Through Clemson data-intensive computing program
• Under-represented groups
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ACI-REF: A Novel Approach
• Research & Education “Facilitators” (REFs)
• Domain-area experts with knowledge of ACI resources and
capabilities
• Substantial outreach activities by REFs – to all disciplines and
departments on campus
• One-on-one problem solving and interaction
• Focus on people – not technology
• Community based
ACI-REF Project
Facilitators
ACI Resources
Researchers
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A Model – Campus Level
Clemson
• May 2010 – first Clemson “facilitator” funded
• 2008: 19/52 Departments Trained on HPC
• 2014: 46/52 Departments Trained on HPC
May 2010: NSF Outreach &
Infrastructure Improvement
Grant Funded
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Formation
• NSF-sponsored workshops held in 2012 helped define the needs of
the broader community
• Goals:
• Advance our nation's research & scholarly achievements through the
transformation of campus computational capabilities and enhanced
coupling to the national infrastructure.
• Create new career path
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Award
$5.3M Award supports:
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• 2 ACI-REFs at each campus
Strategic Direction - Jim Bottum
• Steering Committee: John Towns, XSEDE; Greg Monaco,
GPN; Glenn Ricart, US Ignite
Chief Scientist - Miron Livny
ACI-REF PI Committee Chair – James Cuff
Science Outreach and facilitator lead - Barr von Oehsen
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Questions?
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