SC12 Home > SC12 Schedule > SC12 Presentation - Uintah Framework Hybrid Task-Based Parallelism Algorithm

SCHEDULE: NOV 10-16, 2012

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Uintah Framework Hybrid Task-Based Parallelism Algorithm

SESSION: Research Poster Reception

EVENT TYPE: Posters and Electronic Posters

TIME: 5:15PM - 7:00PM

SESSION CHAIR: Torsten Hoefler

AUTHOR(S):Qingyu Meng, Martin Berzins

ROOM:East Entrance

ABSTRACT:
Uintah is a software framework that provides an environment for solving large-scale science and engineering problems involving the solution of partial differential equations. Uintah uses a combination of fluid-flow solvers and particle-based methods for solids, together with adaptive meshing and asynchronous task-based approach with automated load balancing. When applying Uintah to fluid-structure interaction problems, the combination of adaptive meshing and the movement of structures through space present a formidable challenge in terms of achieving scalability on large-scale parallel computers. Adopting a model that uses MPI to communicate between nodes and a shared memory model on-node is one approach to achieve scalability on large-scale systems.This scalability challenge is addressed here for Uintah, by the development of new hybrid runtime and scheduling algorithms combined with novel lock-free data structures, making it possible for Uintah to achieve excellent scalability for a challenging fluid-structure problem with mesh refinement on as many as 256K cores.

Chair/Author Details:

Torsten Hoefler (Chair) - ETH Zurich

Qingyu Meng - University of Utah

Martin Berzins - University of Utah

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Uintah Framework Hybrid Task-Based Parallelism Algorithm

SESSION: Research Poster Reception

EVENT TYPE:

TIME: 5:15PM - 7:00PM

SESSION CHAIR: Torsten Hoefler

AUTHOR(S):Qingyu Meng, Martin Berzins

ROOM:East Entrance

ABSTRACT:
Uintah is a software framework that provides an environment for solving large-scale science and engineering problems involving the solution of partial differential equations. Uintah uses a combination of fluid-flow solvers and particle-based methods for solids, together with adaptive meshing and asynchronous task-based approach with automated load balancing. When applying Uintah to fluid-structure interaction problems, the combination of adaptive meshing and the movement of structures through space present a formidable challenge in terms of achieving scalability on large-scale parallel computers. Adopting a model that uses MPI to communicate between nodes and a shared memory model on-node is one approach to achieve scalability on large-scale systems.This scalability challenge is addressed here for Uintah, by the development of new hybrid runtime and scheduling algorithms combined with novel lock-free data structures, making it possible for Uintah to achieve excellent scalability for a challenging fluid-structure problem with mesh refinement on as many as 256K cores.

Chair/Author Details:

Torsten Hoefler (Chair) - ETH Zurich

Qingyu Meng - University of Utah

Martin Berzins - University of Utah

Add to iCal  Click here to download .ics calendar file

Add to Outlook  Click here to download .vcs calendar file

Add to Google Calendarss  Click here to add event to your Google Calendar