Improving the performance of Uintah: A large-scale adaptive meshing computational framework

Luitjens, Justin; Berzins, Martin

doi:10.1109/ipdps.2010.5470437

Cited by 29 publications

(61 citation statements)

References 19 publications

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“…During task execution, the time to complete each task is recorded and used to update a simple forecasting model which is then used to predict the time to execute on each patch in the future. This provides a mechanism to accurately predict the cost of each patch while requiring little information from the user or component developer [16].…”

Section: Simulation Methodology 21 Uintah Computation Frameworkmentioning

confidence: 99%

The influence of an applied heat flux on the violence of reaction of an explosive device

Hall

Beckvermit

Wight

et al. 2013

Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery

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It is well known that the violence of slow cook-off explosions can greatly exceed the comparatively mild case burst events typically observed for rapid heating. However, there have been few studies that examine the reaction violence as a function of applied heat flux that explore the dependence on heating geometry and device size. Here we report progress on a study using the Uintah Computation Framework, a high-performance computer model capable of modeling deflagration, material damage, deflagration to detonation transition and detonation for PBX9501 and similar explosives. Our results suggests the existence of a sharp threshold for increased reaction violence with decreasing heat flux. The critical heat flux was seen to increase with increasing device size and decrease with the heating of multiple surfaces, suggesting that the temperature gradient in the heated energetic material plays an important role the violence of reactions.

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Section: Simulation Methodology 21 Uintah Computation Frameworkmentioning

confidence: 99%

The influence of an applied heat flux on the violence of reaction of an explosive device

Hall

Beckvermit

Wight

et al. 2013

Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery

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“…This method conserves mass, momentum, energy, and the exchange of these quantities between materials and is used here on adaptive structured meshes consisting of hexahedral patches, often of 8 3 or 16 3 cells [16]. The Material Point Method is a particle method that is used to evolve the equations of motion for the solid materials applications involving complex geometries, large deformations and fracture.…”

Section: Overview Of Uintah Softwarementioning

confidence: 99%

“…As reported in previous work [6,16], Uintah's adaptive mesh regridder defines a set of fixed-sized tiles throughout the domain. Each tile is then searched, in parallel, for refinement flags without the need for communication.…”

Section: Overview Of Uintah Softwarementioning

confidence: 99%

“…In what follows, measurements of the memory usage were obtained by the MallocTrace memory profiling library described in [16]. Two prototypical simulation studies were used to compare the hybrid multi-threaded/MPI approach versus the MPI approach.…”

Section: Computational Experimentsmentioning

confidence: 99%

“…The individual tasks are viewed as part of a directed acyclic graph (DAG) and are executed adaptively, asynchronously and now often out of order [18]. Uintah uses a novel adaptive meshing approach [16] as well as a variety of fixed mesh and particle solution methods. In recent previous work we showed that Uintah scales well to about 98K cores for some applications [6] including a sympathetic explosion modeling problem, funded by the NSF PetaApps Program, that is one of our main applications driving examples.…”

Section: Introductionmentioning

confidence: 99%

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Using hybrid parallelism to improve memory use in the Uintah framework

Meng

Berzins

Schmidt

2011

Proceedings of the 2011 TeraGrid Conference: Extreme Digital Discovery

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The Uintah Software framework was developed to provide an environment for solving fluid-structure interaction problems on structured adaptive grids on large-scale, long-running, data-intensive problems. Uintah uses a combination of fluid-flow solvers and particle-based methods for solids together with a novel asynchronous task-based approach with fully automated load balancing. Uintah's memory use associated with ghost cells and global meta-data has become a barrier to scalability beyond O(100K) cores. A hybrid memory approach that addresses this issue is described and evaluated. The new approach based on a combination of Pthreads and MPI is shown to greatly reduce memory usage as predicted by a simple theoretical model, with comparable CPU performance.

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Scalable parallel regridding algorithms for block‐structured adaptive mesh refinement

Luitjens

Berzins

2011

Concurrency and Computation

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SUMMARYBlock-structured adaptive mesh refinement (BSAMR) is widely used within simulation software because it improves the utilization of computing resources by refining the mesh only where necessary. For BSAMR to scale onto existing petascale and eventually exascale computers all portions of the simulation need to weak scale ideally. Any portions of the simulation that do not will become a bottleneck at larger numbers of cores. The challenge is to design algorithms that will make it possible to avoid these bottlenecks on exascale computers. One step of existing BSAMR algorithms involves determining where to create new patches of refinement. The Berger-Rigoutsos algorithm is commonly used to perform this task. This paper provides a detailed analysis of the performance of two existing parallel implementations of the BergerRigoutsos algorithm and develops a new parallel implementation of the Berger-Rigoutsos algorithm and a tiled algorithm that exhibits ideal scalability. The analysis and computational results up to 98 304 cores are used to design performance models which are then used to predict how these algorithms will perform on 100 M cores.

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Improving the performance of Uintah: A large-scale adaptive meshing computational framework

Cited by 29 publications

References 19 publications

The influence of an applied heat flux on the violence of reaction of an explosive device

The influence of an applied heat flux on the violence of reaction of an explosive device

Using hybrid parallelism to improve memory use in the Uintah framework

Scalable parallel regridding algorithms for block‐structured adaptive mesh refinement

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