Division of Computing and Communication Foundations
Advanced Computational Research
CONTACTS
PROGRAM GUIDELINES
Announcement
98-168
Please be advised that the NSF Proposal & Award Policies & Procedures Guide (PAPPG) includes
revised guidelines to implement the mentoring provisions of the America COMPETES Act (ACA)
(Pub. L. No. 110-69, Aug. 9, 2007.) As specified in the ACA, each proposal that requests
funding to support postdoctoral researchers must include a description of the mentoring
activities that will be provided for such individuals. Proposals that do not comply
with this requirement will be returned without review (see the PAPP Guide Part I:
Grant Proposal Guide Chapter II for further information about the implementation of
this new requirement).
DUE DATES
Archived
SYNOPSIS
The Advanced Computational Reseach
(ACR) program focuses on the research and
enabling technologies needed to advance the state of the art
in high-end computing and computational science, and bring
advanced computational capabilities to bear on fundamental science
and engineering problems. Current focus areas include software
systems and tools, visualization and data handling, and scalable
algorithms. ACR also supports work on multidisciplinary analysis
and design, heterogeneous computing, web-based meta-computing,
computational steering and remote collaboration on high performance
computing applications. An area of growing interest is algorithm
scalabilty addressing such issues as latency-tolerant algorithms,
and research into means to handle complex multi-level memory
hierarchies.
The current Program Director for ACR is Xiaodong Zhang.
His home institution is the College of William and Mary, where
he is a professor of computer science. His area of expertise
is high performance computing and systems, with emphasis on memory
systems and distributed computing. While at NSF, however, he
intends to support excellent research in all areas as described
above.
Abstracts of Recent Awards Made Through This Program
Discoveries
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