CISE
NEXT GENERATION SOFTWARE (NGS)
PROGRAM
PROGRAM ANNOUNCEMENT (NSF 99-8)
DIRECTORATE FOR
COMPUTER AND INFORMATION SCIENCE AND ENGINEERING
DEADLINE DATE: JANUARY 12, 1999
Next Generation Software (NGS)
(Replaces the Challenges in CISE Program)
The Experimental and integrative Activities Division in the Computer and
Information Science and Engineering (CISE) Directorate announces a new
thrust: the Next Generation Software (NGS) to support
multidisciplinary (group-oriented as well as single investigator) research,
commencing in Fiscal Year 1999. The NGS program fosters
multidisciplinary software research under two components: Technology
for Performance Engineered Systems (TPES), and Complex
Application Design and Support Systems (CADSS). The overall thrust of NGS
will be research and development for new software technologies integrated
across the systems' architectural layers, and supporting the design and the
operation cycle of applications, computing and communications systems, and
delivering quality of service (QoS). The TPES component will support
research for methods and tools leading to the development of performance
frameworks for modeling, measurement, analysis, evaluation and prediction of
performance of complex computing and communications systems, and of the
applications executing on such systems. The CADSS component will
support research on novel software for the development and run-time support
of complex applications executing on complex computing platforms; CADSS
fostered technology breaks down traditional barriers in existing software
components in the application development, support and runtime layers, and
will leverage TPES developed technology for delivering QoS. It's
expected that technology developed under TPES, when integrated into the
design process, will lead to substantial decreases in the development time
and cost of future advanced information systems, from the hardware components
to the applications executing on such platforms. In addition such
capabilities, when integrated into the operational process of these systems,
as envisioned with CADSS, will lower the cost of their management, optimize
their performance, and ensure QoS. The technologies developed will
be validated with demonstrations on important national interest applications.
Multidisciplinary teams will involve collaboration among researchers in
several areas in computer sciences and application developers.
Background New and future computing platforms and
applications are far more advanced, powerful, dynamic and complex than in the
past. Such platforms include both the globally-distributed, meta-computing,
heterogeneous, networked, and adaptive platforms, ranging from assemblies of
networked workstations, to networked supercomputing clusters or combinations
there-of (Grids), as well as the more tightly coupled future
petaflops platforms, which will be enabled as grids-in-a-box (GiBs).
Such complexity requires new systems' software technology for the
design, development, run-time support, maintenance and management of the
applications and their platforms. The new software technologies need to
adopt a more integrated view of the architectural layers and software
components of a computing system, consisting of: the applications, the
application support environments (languages, compilers, application
libraries, linker, run-time support, security, visualization, etc.),
operating system (scheduling, resource allocation and management, etc),
computing platform architectures, processing nodes and network layers.
Present software technologies supporting the design and operation of
computing systems and applications treat individual layers and components in
an isolated fashion. This approach had been reasonably successful when the
computing systems and the applications were relatively simple. However such
approaches are inadequate in supporting the emerging complex applications and
computing platforms. The research to be fostered under the present
initiative is intended to lead to more integrated software environments
eliminating boundaries between the different components and layers, and
create capabilities that provide a system view and management
ability. Research Scope Overview
The TPES component will support research for developing
methods, tools and performance frameworks to analyze and predict behavior of
the entire computing system and of multiple views of the computing system.
This research will be enabled by creating performance frameworks
capable of using models (in a plug-and-play fashion) of different levels of
detail of each component and layer, as needed for the specific analysis at
hand. Significant advancements are needed in the current methods and tools,
to measure, model and analyze computing systems at all levels - from the
application level, to the software level, to the hardware levels.
Major technical challenges include: the development of multilevel modeling
and simulation methods and tools (application level, system software, and
hardware levels, including the network levels), hierarchical or multiscale
approaches (models of multiple levels of abstraction and resolution for
components at each level), and scalable approaches for modeling the behavior
of the entire system, or for analysing the behavior at each level as affected
by the behavior of components in the other levels; modeling of how the
behavior of system components or the system scales as one shifts from a small
prototype to the larger (production or future) machine, or to a machine where
some of the architectural features change. The present initiative seeks
methods and tools that are general and powerful enough to be applicable for
both globally distributed systems as well as high-end petaflops-class
systems. The CADSS component will support research on
software technologies for the development and runtime support of complex
applications which execute on globally distributed as well as on the planned
petaflops platforms. The research and technology to be developed
encompasses the following: new programming models; new compiler technology,
where part of the compiler becomes embedded in the runtime, and where the
compiler interacts with the system resource manager and performance models of
the underlying hardware and software (such as the models developed by the
TPES program component above) for optimizing the mapping of the application
on the underlying platform assembly; knowledge based technology for
application components' assembly; integration of these technologies into an
application support environment, and demonstration of these technologies on
important national interest applications, including advanced networking
applications. TPES Motivation and Research Agenda
Advanced computing systems will be attained by assemblies of
globally distributed, heterogeneous, networked systems, embodying high-end
platforms consisting of heterogeneous processing nodes, and complex memory
hierarchies. Many factors affect the performance of such complex systems and
the applications executing on them. These include the computer and network
architecture, the system software components and the end-user applications.
There exists an array of isolated modeling and simulation methods and tools
used to understand the behavior of isolated components of these systems, from
analytical and queuing models, to tracing tools, simulators and emulators.
However the present methods do not have the capability to provide a system
view and analysis, nor they can provide a well-defined hierarchical analysis
and structuring needed to model systems of the level of complexity under
consideration. The TPES component in this competition seeks
proposals for multidisciplinary research on the development of methods and
tools for a layered, multilevel, scalable performance engineering capability,
spanning applications, systems software and hardware, and developing
performance methodologies that have predictive as well as evaluation
capabilities. In particular we are interested in: methods which provide
hierarchical or multilevel analysis of such systems, enable assessment of the
effects of individual hardware and software layers and components of these
systems, as well as pluggable into the performance frameworks to assess their
impact on the performance of the entire system. Various approaches to
developing tools that implement such modeling methods will be pursued.
The development of such capabilities requires advances in the following
areas:
- Methods for modeling and simulation of the behavior of the application
and system components at multiple levels of detail and abstraction.
- Modeling languages for application and system description and modeling,
and specification of performance attributes.
- Interfaces that allow models and simulators with different resolution
levels to be combined together as needed into performance frameworks to
analyze system behavior.
- New instrumentation methods, measurement tools, methods of combining
measurements of different levels of resolution and time scales.
- Integration of the technologies above into performance
frameworks.
Proposals should include plans to demonstrate the validity of technologies
developed above by applying them on important platforms and applications.
CADDS Motivation and Research Agenda
Modern
applications consist of multiple inter-operating compute- and data-intensive
components. To obtain accurate models and simulations or to deliver real-time
results, the applications need to execute on high-performance globally
distributed and high-end petaflops-class computing platforms. At the same
time these applications need to achieve high-efficiency and QoS when
executing on such platforms. The present methods of building
applications result in applications that are designed for a given platform.
When the platform changes, the application needs to be rewritten for a new
platform. This is costly and limiting: the resulting applications cannot
automatically move to the new platform; the applications cannot be
distributed to run concurrently on the old and the new platforms; the
applications cannot be dynamically partitioned across globally distributed
platform assemblies, map dynamically across such platforms as the resource
availability changes, and exploit such platform assemblies with
quality-of-service. Similar obstacles exist when the problem size changes,
and the application needs for example to be repartitioned and remapped for
the bigger problem size. Today's technology necessitates considerable and
laborious hand tuning. Effective use of distributed computing
platforms requires automating the process of distributing and mapping the
application across such platforms, as well as optimizing the mapping of the
application on a given high-end platform. Such automation will require a new
generation of compiling technology, which will create compiling systems that
extend into the run-time and can dynamically invoke operating systems
services, and use performance models of the software and the hardware to
dynamically optimize the application mapping across the heterogeneous
platform assembly. In addition, novel approaches and substantial
enhancements are needed in computational models used to express the
distributed applications and enhance the compiler's ability to: analyze task
and data dependencies in the application programs, resolve dependencies, and
optimize mapping across a complex memory structure of distributed (Grids or
GiBs) platforms with multiple levels of memory hierarchy. Executing
applications on heterogeneous platforms also requires the runtime system to
have the ability to dynamically select appropriate application components
suitable for each one of the kinds of platforms in the heterogeneous platform
ensemble or the problem size. The new compiling technology will be aware of
the issues of heterogeneity in the underlying architecture of each of the
platforms, such as differing memory organization, machine accuracy, data
conversion problems, and link to appropriately selected components to
generate consistent code at runtime. Additional technologies
required are: tools for debugging distributed applications; methods and tools
to model the features and behavior of components of the system (such as for
example that will be developed under TPES); and making these models and tools
accessible and available to the compiler for optimizing the mapping of the
application. The CADSS component in this competition will develop
technology to support the development and the runtime of complex applications
executing on globally distributed or high-end, petaflops-class platforms, and
will allow adapting the mapping of the applications dynamically as the
underlying resources change or as the application needs change. To create
such capabilities requires technical advances to:
- Develop a distributed programming model which will facilitate the
compiler to distribute the application across distributed, heterogeneous,
complex computing platforms. This model can be an appropriate extension of
existing models.
- Create a new generation of compiling technology for such platforms,
encompassing:
- embedding a portion of the compiler in the runtime system and enabling of
the compiler to interface with the underlying systems' linkers and resource
managers to determine system resources' availability;
- capability by the compiler to interface and use underlying system models
for optimizing application mapping and scheduling;
- techniques for determining functional and data dependencies across
distributed platforms and multiple levels of memory hierarchy; and
- ability of the compiler to interface with the application composition
systems described below and dynamically select the appropriate components at
run-time.
- Create technology for building knowledge-based application composition
systems :
- develop methods for problem specification and content information
extraction for automatically selecting such components;
- application interfaces and methods for problem specification and
extracting content information;
- ability to interface with the underlying computing platform models to
determine suitable application components;
- novel numerical and other component libraries, tolerant of sections of a
computation done on heterogeneous platforms of differing accuracy and
handling data conversion issues; ability to combine results from such
heterogeneous computations;
- development of appropriate application component libraries and interface
with the run-time portion of the compiler to link to appropriate libraries;
and
- creation of knowledge bases for application components for specific test
applications, for example applications relevant to NGI (Next Generation
Internet).
- Develop new methods of instrumentation and measurement accessible to the
compiler for application mapping, and for new debugging tools suitable for
distributed applications.
- Provide validation of key technologies developed above and integration of
the individual technologies into an application design and support
system.
Validation and Demonstration of the Technology
This competition will seek proposals for research addressing the challenges
discussed above. This new software technology is a deviation from the
traditional development approaches, and will often require the cooperation of
researchers in the areas of applications, languages and computational models,
compilers, libraries and environments, performance modeling and tools, and
computer architecture and networking. An integral part of the work is to
demonstrate and validate the developed technology; therefore testing of the
technology on important applications will be required. Furthermore, where
appropriate, partnerships with industry are encouraged, as it is also
important that any prototype technology developed under this program will
lead to technology transition to industry.
Proposals should include plans to demonstrate the validity of technologies
developed above by applying them on important platforms and applications.
Proposal Preparation and Submission Instructions
A. Proposal Preparation Instructions
Proposals under this program announcement MUST be submitted via the
NSF FastLane system, as described in a subsequent section.
Proposals submitted in response to this program announcement should be
prepared and submitted in accordance with the general guidelines contained in
the Grant Proposal Guide (GPG), NSF 99-2. In particular, page
formatting requirements given on page 5 will be strictly enforced, and
proposals not complying will be returned without review.The complete text of
the GPG (including electronic forms) is available electronically on the NSF
Web site at: http://www.nsf.gov/. Paper
copies of the GPG may be obtained from the NSF Publications Clearinghouse,
telephone 301.947.2722 or by e-mail from pubs@nsf.gov.
Proposers are reminded to
identify the program announcement number (NSF 99-8) in the program
announcement/solicitation block on the NSF Form 1207, Cover Sheet for
Proposal to the National Science Foundation. Compliance with this
requirement is critical to determining the relevant proposal processing
guidelines. Failure to submit this information may delay processing.
The following are exceptions to the general guidelines, specific to this
activity, and must be added to the 15-page project description:
- each PI and Co-PI may use up to an additional 2 pages each to describe
results under prior NSF support, focusing on those results relevant to the
proposed project;
- milestones for the full period of the award;
- one-page management plan in the case of multi-investigator teams;
- one-page describing cost sharing, if any.
Proposals not conforming to these guidelines will be returned to the proposer
without review.
B. Budgetary Information
The program expects to make awards that involve single investigator as well
as multi-investigator teams, at levels in the range of $200K to $1M per year;
particular circumstances may justify awards outside of this range. It is
anticipated that most awards will be for three years, but longer periods will
be considered if they are clearly required by the research proposed. About a
dozen large projects and about twenty smaller projects are expected to
receive support. Assuming the availability of funds, CISE intends to
conduct this competition on an annual basis. Pertinent information regarding
subsequent competitions will be provided via a "Dear Colleague" letter
early in each fiscal year. Cost Sharing Requirements:
Cost sharing is encouraged but not mandatory. Cost sharing is not a
requirement and will not be used as a criterion in the review process.
The proposed cost sharing, if any, must be shown on line M on the
proposal budget (NSF Form 1030).
The amount of cost sharing must be shown in the proposal in enough detail to
allow NSF to determine its impact on the proposed project. Documentation of
availability of cost sharing must be included in the proposal.
Only
items which would be allowable under the applicable cost principles, if
charged to the project, may be included as the grantee's contribution to cost
sharing. Contributions may be made from any non-Federal source, including
non-Federal grants or contracts, and may be cash or in-kind (see OMB Circular
A-110, Section 23). It should be noted that contributions counted as
cost-sharing toward projects of another Federal agency may not be counted
towards meeting the specific cost-sharing requirements of the NSF grant.
All cost-sharing amounts are subject to audit. Failure to provide
the level of cost-sharing reflected in the approved grant budget may result
in termination of the NSF grant, disallowance of grant costs and/or refund of
grant funds to NSF.
C. Proposal Due Dates
For the purposes of review logistics, we will appreciate a letter of intent,
including a one-page abstract of the proposal and list of co-PI's and their
institutions, to be submitted to NSF by 5:00pm, EST, December 15, 1998, by
e-mail to ngs-letr@nsf.gov. Lack of
a submission of letter of intent will not preclude submission of proposals,
nor will it be considered in lieu of full proposals, but will be
appreciated as it will allow expediting the review process.
Proposals under this program announcement MUST be submitted via the
NSF FastLane system, as described in the section below. The
proposal MUST be submitted by 5:00 PM, local time, January 12,
1999. Copies of the signed proposal cover sheet must be submitted in
accordance with the instructions identified below. Submission of
Signed Cover Sheets. For proposals submitted electronically via the NSF
FastLane Project, the signed proposal Cover Sheet (NSF Form 1207) must be
forwarded to the following address: National Science Foundation
DIS-FastLane Cover Sheet
4201 Wilson Blvd.
Arlington, VA 22230
The deadline for submitting the Signed Cover Sheets is January 19,
1999. To be considered for an award the cover sheets must be:
- received by NSF no later than January 19, 1999; or
- postmarked no later than five (5) days prior to the deadline date; or
- sent via commercial overnight mail no later than two (2) days prior to
the deadline date.
A proposal may not be processed until the complete proposal (including signed
Cover Sheet) has been received by NSF.
D. FastLane Requirements
The NSF FastLane system is available for electronic preparation and
submission of a proposal through the Web at the FastLane Web site at http://www.fastlane.nsf.gov. The
Sponsored Research Office (SRO or equivalent) must provide a FastLane
Personal Identification Number (PIN) to each Principal Investigator (PI) to
gain access to the FastLane "Proposal Preparation" application. PIs that
have not submitted a proposal to NSF in the past must contact their SRO to be
added to the NSF PI database. This should be done as soon as the decision to
prepare a proposal is made. In order to use NSF FastLane to prepare
and submit a proposal, the following are required: Browser (must
support multiple buttons and file upload) - Netscape 3.0 or
greater
- Microsoft Internet Explorer 4.0 or greater
PDF Reader (needed to view/print forms)
- Adobe Reader 3.0 or greater
PDF Generator (needed to create project description)
- Adobe Acrobat 3.01 or greater
- Aladdin Ghostscript 5.10 or greater
A list of registered institutions and the FastLane registration form are
located on the FastLane Web page.
For the Signed Cover Sheet
submission, the delivery address must clearly identify the NSF
announcement or solicitation number under which the proposal is being
submitted.
Proposal Review Information
A. Merit Review Criteria
Review of proposals submitted to NSF are solicited from peers with
expertise in the substantive area of the proposed research or education
project. These reviewers are selected by Program officers charged with the
oversight of the review process. NSF invites the proposer to suggest, at the
time of submission, the names of appropriate or inappropriate reviewers.
Special care is taken to ensure that reviewers have no immediate and obvious
conflicts with the proposer. Special efforts are made to recruit reviewers
from non-academic institutions, minority serving institutions, adjacent
disciplines to that principally addressed in the proposal, etc.
Proposals will be reviewed against the following general merit review
criteria established by the National Science Board, as described in GPG (NSF
99-2). Following each criterion are potential considerations that the
reviewer may employ in the evaluation. These are suggestions and not all
will apply to any given proposal. Each reviewer will be asked to address
only those that are relevant to the proposal and for which he/she is
qualified to make judgments. What is the intellectual merit of
the proposed activity? How important is the proposed activity to
advancing knowledge and understanding within its own field or across
different fields? How well qualified is the proposer (individual or team) to
conduct the project? (If appropriate, the reviewer will comment on the
quality of prior work.) To what extent does the proposed activity suggest
and explore creative and original concepts? How well conceived and organized
is the proposed activity? Is there sufficient access to resources?
What are the broader impacts of the proposed activity? How
well does the activity advance discovery and understanding while promoting
teaching, training, and learning? How well does the proposed activity
broaden the participation of underrepresented groups (e.g., gender,
ethnicity, disability, geographic, etc.)? To what extent will it enhance the
infrastructure for research and education, such as facilities,
instrumentation, networks, and partnerships? Will the results be
disseminated broadly to enhance scientific and technological understanding?
What may be the benefits of the proposed activity to society?
Integration of Research and Education One of the principal
strategies in support of NSF's goals is to foster integration of research and
education through the programs, projects and activities it supports at
academic and research institutions. These institutions provide abundant
opportunities where individuals may concurrently assume responsibilities as
researchers, educators, and students and where all can engage in joint
efforts that infuse education with the excitement of discovery and enrich
research through the diversity of learner perspectives. PIs should address
this issue in their proposal to provide reviewers with the information
necessary to respond fully to both NSF merit review criteria. NSF staff will
give it careful consideration in making funding decisions.
Integrating Diversity into NSF Program, Projects, and Activities
Broadening opportunities and enabling the participation of all citizens
-- women and men, underrepresented minorities, and persons with disabilities
-- is essential to the health and vitality of science and engineering. NSF
is committed to this principle of diversity and deems it central to the
programs, projects, and activities it considers and supports. PIs should
address this issue in their proposal to provide reviewers with the
information necessary to respond fully to both NSF merit review criteria.
NSF staff will give it careful consideration in making funding decisions.
Additional criteria specific to this Program The
following criteria that reflect the specific objectives of the NGS initiative
will also be considered in proposal evaluation:
- Potential for general impact on the development of techniques,
environments, or paradigms that will advance the software to support
computing, information processing and communications systems;
- In the case of multi-investigator teams, the extent to which the group is
integrated with a common focus;
- Degree to which educational activities that increase the participation
and training of students and researchers are integrated into the proposal;
- If the research proposed involves a testbed, the extent to which that
testbed advances understanding of computing, information processing and
communications systems.
B. Merit Review Process and Associated Customer Service Standard
Most the proposals submitted to NSF are reviewed by mail review, panel
review, or some combination of mail and panel review. Proposals submitted in
response to this announcement will be reviewed by review panels, which will
in addition use input from ad hoc reviews. Reviewed proposals that overlap
related programs described below (in Section: Other Programs of Interest)
will be referred to those activities for consideration.
All
proposals are carefully reviewed by at least three other persons outside NSF
who are experts in the particular field represented by the proposal.
Reviewers will be asked to formulate a recommendation to either support or
decline each proposal. A program officer assigned to manage the proposal's
review will consider the advice of reviewers and will formulate a
recommendation. In most cases, proposers will be contacted by the program
officer after his or her recommendation to award or decline funding has been
approved by his or her supervisor, the division director. This informal
notification is not a guarantee of an eventual award. NSF will be able to
tell applicants whether their proposals have been declined or recommended for
funding within six months for 95 percent of proposals in this category. In
those cases where a proposal is being considered for joint funding by
separate divisions, directorates, or agencies, NSF will be able to notify
applicants within nine months in 95 percent of proposals. The time interval
begins on the proposal deadline or target date or from the date of receipt,
if deadlines or target dates are not used by the program. The interval ends
when the division director accepts the program officer's recommendation.
In all cases, after final programmatic approval has been obtained, the
recommendation then goes to the Division of Grants and Agreements for review
of business, financial and policy implications and the processing and
issuance of a grant or other agreement. Proposers are cautioned that only a
Grants Officer may make commitments, obligations or awards on behalf of NSF
or authorize the expenditure of funds. No commitment on the part of NSF
should be inferred from technical or budgetary discussions with an NSF
program officer. A principal investigator or organization that makes
financial or personnel commitments in the absence of a grant or cooperative
agreement signed by the NSF Grants Officer does so at its own risk.
Award Administration Information
A. Notification of the Award
The review process will be concluded around the end-of-February 1999, with
awards anticipated to be made in April 1999.
Additional information
may be required on some or all of the following topics prior to making an
award:
- Plans for publicity, documentation, support and dissemination of software
developed under the award;
- Institutional policy on software licensing and distribution;
- Plans for making results available to the broader community.
Notification of the award is made to the submitting
organization by a Grants Officer in the Division of Grants and
Agreements. Organizations whose proposals are declined will be advised as
promptly as possible by the cognizant NSF Program Division administering the
program. Verbatim copies of reviews, not including the identity of the
reviewer, will be provided automatically to the Principal Investigator.
B. Grant Award Conditions An NSF grant consists
of: (1) the award letter, which includes any special provisions applicable to
the grant and any numbered amendments thereto; (2) the budget, which
indicates the amounts, by categories of expense, on which NSF has based its
support (or otherwise communicates any specific approvals or disapprovals of
proposed expenditures); (3) the proposal referenced in the award letter; (4)
the applicable grant conditions, such as Grant General Conditions (NSF GC-1)*
or Federal Demonstration Partnership Phase III (FDP) Terms and Conditions*
and (5) any NSF brochure, program guide, announcement or other NSF issuance
that may be incorporated by reference in the award letter. Electronic mail
notification is the preferred way to transmit NSF grants to organizations
that have electronic mail capabilities and have requested such notification
from the Division of Grants and Agreements. * These
documents may be accessed electronically on NSF's Web site at: http://www.nsf.gov/. Paper copies may be
obtained from the NSF Publications Clearinghouse, telephone 301.947.2722 or
by e-mail from pubs@nsf.gov.
Cooperative agreement awards also are administered in accordance with NSF
Cooperative Agreement Terms and Conditions (CA-1). More comprehensive
information on NSF Award Conditions is contained in the NSF Grant Policy
Manual (GPM) Chapter II, (NSF 95-26) available electronically on the NSF
Web site. The GPM also is available in paper copy by subscription from the
Superintendent of Documents, Government Printing Office, Washington, DC
20402. The GPM may be ordered through the GPO Web site at: http://www.gpo.gov. C. Reporting
Requirements For all multi-year grants (including
both standard and continuing grants), the PI must submit an annual project
report to the cognizant Program Officer at least 90 days before the end of
the current budget period. Within 90 days after expiration
of a grant, the PI also is required to submit a final project report.
Approximately 30 days before expiration, NSF will send a notice to remind the
PI of the requirement to file the final project report. Failure to provide
final technical reports delays NSF review and processing of pending proposals
for that PI. PIs should examine the formats of the required reports in
advance to assure availability of required data. NSF has implemented
a new electronic project reporting system, available through FastLane, which
permits electronic submission and updating of project reports, including
information on: project participants (individual and organizational);
activities and findings; publications; and, other specific products and
contributions. Reports will continue to be required annually and after the
expiration of the grant, but PIs will not need to re-enter information
previously provided, either with the proposal or in earlier updates using the
electronic system. Effective October 1, 1998, PIs are required to
use the new reporting format for annual and final project reports. PIs are
strongly encouraged to submit reports electronically via FastLane. For those
PIs who cannot access FastLane, paper copies of the new report formats may be
obtained from the NSF Clearinghouse as specified above. NSF expects to
require electronic submission of all annual and final project reports via
FastLane beginning in October, 1999. D. New Awardee
Information If the submitting organization has never
received an NSF award, it is recommended that the organization's appropriate
administrative officials become familiar with the policies and procedures in
the NSF Grant Policy Manual which are applicable to most NSF awards.
The Prospective New Awardee Guide (NSF 97-100) includes information on:
Administration and Management Information; Accounting System Requirements and
Auditing Information; and Payments to Organizations with Awards. This
information will assist an organization in preparing documents that NSF
requires to conduct administrative and financial reviews of an organization.
The guide also serves as a means of highlighting the accountability
requirements associated with Federal awards. This document is available
electronically on NSF's Web site at: http://www.nsf.gov/cgi-bin/getpub?nsf97100.
Contacts for Additional Information
Inquiries regarding technical aspects of the program should be made to: Dr. Frederica Darema, Senior Science and Technology Advisor and Director of the Next Generation Software Program; NSF, Room 1105; 4201 Wilson Blvd.; Arlington, VA 22230; e-mail: darema@nsf.gov; (703) 306-1981
An opportunity will exist at SC98 for a Q&A session on this program. Please see list of birds-of-a-feather (BOF) sessions at SC98 (http://www.sc98.org), for specific time for the BOF session. Additional forums for Q&A will be announced in a Dear Colleague letter.
Additional technical information related to the research directions fostered by this program announcement can be found in http://www.cise.nsf.gov/eia/nsg.
For questions related to use of FastLane, contact, Carolyn Miller, FastLane Project Officer, 703. 306.1145X4659, e-mail: cmiller@nsf.gov.
Other Programs of Interest
The opportunities described herein represent one, but not the only approach to support multidisciplinary research, and this solicitation is intended as a complement to those activities rather than a replacement. In particular, the following activities are closely related to this solicitation, and prospective proposers are urged to discuss their ideas with the contacts listed in order to determine the most appropriate programs for submission:
Experimental Activities
To complement research and education activities, the program supports the establishment and maintenance of CISE Advanced Distributed Resources for Experiments (CADRE). These are unique resources that, once established, can be accessed remotely by researchers around the country. Resources can be diverse, including, for example, hardware such as prototyping testbeds; software such as code libraries for experimental compiler research; repositories such as collections of human discourse data; and services such as brokers to bring together creators and users of educational materials. In addition the Experimental Partnerships component under the Experimental Activities Program provides opportunities in support of multidisciplinary, group-oriented research in topics that are within the domain of CISE programs. Experimental partnerships focus on a single problem, the solution of which requires scientific advances both in experimental computer science and engineering and in one or more partner disciplines within CISE.
Contact: Dr. Michael Foster, Division of EIA (703) 306-1936, mfoster@nsf.gov
Special Projects in Networking Research
This program differs from Networking Research by supporting larger and/or more multidisciplinary projects; specialized hardware/software or networks for networking systems research; and mechanisms for developing research agendas and enhancing community development. Research projects supported by this program focus on networking issues and may include work from other disciplines of computer science and engineering - such as distributed systems, communications, operating systems, databases, software, signal processing, control theory and devices. Theoretical research activities address the next generation of networking and typically require small teams of researchers. Experimental research which demonstrates proofs of concept for novel networking ideas, may range in scope from laboratory experimentation to national collaborations.
Contact: Dr. Darleen Fisher, Division of ANIR (703) 306-1949, dlfisher@nsf.gov
In addition, the NSF Guide to Programs is a compilation of funding opportunities for research and education in science, mathematics, and engineering. General descriptions of NSF programs, research areas, and eligibility information for proposal submission are provided in each chapter. Beginning in fiscal year 1999, the NSF Guide to Programs only will be available electronically (http://www.nsf.gov/cgi-bin/getpub?gp). Many NSF programs offer announcements concerning specific proposal requirements. To obtain additional information about these requirements, contact the appropriate NSF program offices listed in Appendix A of the GPG.
Any changes in NSF's fiscal year programs occurring after press time for the Guide to Programs will be announced in the NSF E-Bulletin, available electronically on the NSF Web site at: http://www.nsf.gov/. The direct URL for recent issues of the Bulletin is http://www.nsf.gov/home/ebulletin/. Subscribers can also sign up for NSF's Custom News Service to find out what funding opportunities are available.
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