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Project Information

SCALABLE DATA COUPLING ABSTRACTION FOR DATA-INTENSIVE SIMULATION WORKFLOWS

Agency:
NSF

National Science Foundation

Project Number:
1310283
Contact PI / Project Leader:
PARASHAR, MANISH
Awardee Organization:
RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK

Description

Abstract Text:
A Scalable Data Management Abstraction for Large-scale Coupled Simulation Workflows

Coupled scientific simulation workflows, integrating multiple physics and scales and running at very large scales on high-end resources, have the potential for achieving unprecedented levels of accuracy and providing dramatic insights into complex phenomena. However, the coupled component of these simulation workflows need to interact and exchange significant amounts of data at runtime, and the data often has to be transformed as it flows from source to destination. As the volumes and generation rates of this data grow, the costs (latencies and energy) associated with extracting this data and transporting it for coupling, transformation and analysis have become the dominating overheads and are dictating the level of performance and productivity that can be achieved.

The goal of this project is to address these challenges and to develop conceptual solutions as well as a software framework that can enable the large-scale data-intensive simulations. Our approach is based on the premise that given the large data volumes and associated costs, data will have to be largely processed online, ?in-situ? and ?in-transit? while it is staged using resources within the computational platform, and the programming and runtime system must provide abstractions and mechanisms that facilitate such data processing. Our effort is organized around three key research thrusts: (1) Programming abstractions for in-situ/in-transit data management; (2) Design and implementation of a scalable data staging substrate; and (3) Data-centric mapping and scheduling.

Data and compute intensive simulations are becoming increasingly critical to a wide range of science and engineering domains, and as a result, this research has the potential to drive research and innovations in these domains. The developed framework and benchmarks also provide computer scientists with a substrate to experiment with and explore data-centric research. The development of human resources, including the training of students, researchers and software professions, as well as outreach to minorities and underrepresented group, is integral to all aspects of this effort.
Project Terms:
Address; base; Benchmarking; Complex; Computer software; computerized data processing; Computers; cost; Coupled; Coupling; Data; data management; design; Destinations; Engineering; Flow-It; Generations; Goals; Human Resources Development; In Situ; innovation; insight; Maps; outreach; Performance; Physics; Process; Productivity; programs; Research; Research Personnel; research study; Resources; Running; Schedule; Science; Scientist; simulation; Solutions; Source; Staging; Students; System; Training; Underrepresented Minority

Details

Contact PI / Project Leader Information:
Name:  PARASHAR, MANISH
Other PI Information:
RODERO, IVAN
Awardee Organization:
Name:  RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK
City:  NEW BRUNSWICK    
Country:  UNITED STATES
Congressional District:
State Code:  NJ
District:  06
Other Information:
Fiscal Year: 2013
Award Notice Date: 01-May-2013
DUNS Number: 001912864
Project Start Date: 01-May-2013
Budget Start Date:
CFDA Code: 47.070
Project End Date: 30-Apr-2016
Budget End Date:
Agency: ?

Agency: The entity responsible for the administering of a research grant, project, or contract. This may represent a federal department, agency, or sub-agency (institute or center). Details on agencies in Federal RePORTER can be found in the FAQ page.

National Science Foundation
Project Funding Information for 2013:
Year Agency

Agency: The entity responsible for the administering of a research grant, project, or contract. This may represent a federal department, agency, or sub-agency (institute or center). Details on agencies in Federal RePORTER can be found in the FAQ page.

FY Total Cost
2013 NSF

National Science Foundation

$547,283

Results

i

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