SCHEDULE: NOV 10-16, 2012
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Programming and Runtime Support for Enabling In-Situ/In-Transit Scientific Data Processing
SESSION: Doctoral Showcase - Early Research Showcase
EVENT TYPE: Doctoral Showcase
TIME: 3:30PM - 5:00PM
SESSION CHAIR: Wojtek James Goscinski
Presenter(s):Fan Zhang
ROOM:155-F
ABSTRACT:
Scientific simulations running at extreme
scale on leadership class systems are generating unprecedented amount of
data, which has to be analyzed and understood to enable scientific
discovery. However, the increasing gap between computation and disk IO
speeds makes traditional data analytics pipelines based on post-processing
cost prohibitive and often infeasible. This research explores hybrid
in-situ/in-transit data staging and online execution of scientific data
processing as coupled workflow. Specifically, we investigate the
programming support for composing the coupled workflow from heterogeneous
computation components, and the runtime framework for distributed data
sharing and task execution. The framework employs data-centric task
placement to map workflow computations onto processor cores to reduce
network data movement and increase intra-node data reuse. In addition, the
framework implements the shared space programming abstraction with
specialized one-sided asynchronous data access operators and can be used
to express coordination and data exchanges between the coupled components.
Chair/Presenter Details:
Wojtek James Goscinski (Chair) - Monash University
Fan Zhang - Rutgers University
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