SC12 Home > SC12 Schedule > SC12 Presentation - Programming and Runtime Support for Enabling In-Situ/In-Transit Scientific Data Processing

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


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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