Award Abstract # 0509467
Collaborative Research: CAS-AES: An Integrated Framework for Compile-Time/Run-time Support for Multi-scale Applications on High-end Systems

NSF Org: CNS
Division Of Computer and Network Systems
Recipient:
Initial Amendment Date: August 16, 2005
Latest Amendment Date: December 6, 2005
Award Number: 0509467
Award Instrument: Standard Grant
Program Manager: Mohamed G. Gouda
CNS
 Division Of Computer and Network Systems
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: September 1, 2005
End Date: August 31, 2009 (Estimated)
Total Intended Award Amount: $0.00
Total Awarded Amount to Date: $348,000.00
Funds Obligated to Date: FY 2005 = $348,000.00
History of Investigator:
  • Ponnuswamy Sadayappan (Principal Investigator)
    saday@cs.utah.edu
  • Atanas Rountev (Co-Principal Investigator)
Recipient Sponsored Research Office: Ohio State University Research Foundation -DO NOT USE
1960 KENNY RD
Columbus
OH  US  43210-1016
(614)688-8734
Sponsor Congressional District: 03
Primary Place of Performance: Ohio State University
1960 KENNY RD
COLUMBUS
OH  US  43210-1016
Primary Place of Performance
Congressional District:
03
Unique Entity Identifier (UEI): QR7NH79713E5
Parent UEI:
NSF Program(s): CSR-Computer Systems Research
Primary Program Source: app-0105 
Program Reference Code(s): 2884, 9218, HPCC
Program Element Code(s): 735400
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

The goal in this project is the development of new compile/runtime techniques that can enable efficient locality enhanced parallel execution of programs that are conveniently expressed in a high-level programming model. The project will develop performance-model driven approaches to efficient execution of complex applications with multi-level parallelism, with convenient abstractions for developing out-of-core applications, and will investigate applications in a number of scientific domains, focusing on requirements for and challenges in realizing high performance with a global shared view of data. In addition the project will develop compile/runtime techniques to support efficient execution of global-shared-view parallel programs that operate on non-array data structures. The tools and technologies to be developed in this project will target demonstrated needs in various areas of scientific computing. The software products arising from this work will be made freely available for use and extension by others.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Albert Hartono, Qingda Lu, Thomas Henretty, Sriram Krishnamoorthy, Huaijian Zhang, Gerald Baumgartner, David E. Bernholdt, Marcel Nooijen, Russell Pitzer, J. Ramanujam, and P. Sadayappan "Performance Optimization of Tensor Contraction Expressions for Many-Body Methods in Quantum Chemistry" J. Phys. Chem. A , 2009 10.1021/jp9051215
X. Gao, S. Krishnamoorthy, S. Sahoo, C. Lam, G. Baumgartner, J. Ramanujam, and P. Sadayappan "Efficient Search-Space Pruning for Integrated Fusion and Tiling Transformations" Concurrency and Computation: Practice and Experience , v.19 , 2007 , p.2425 10.1002/cpe.1182

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