Seminars & Events

Mathematics and Computer Science
"A CPU/GPU Heterogeneous Computing Framework for Computational Dynamics Applications"

DATE: September 20, 2010 to September 20, 2010
TIME: 1:30 PM - 3:00 PM
SPEAKER: Dan Negrut and Alessandro Tasora, Assistant Professor and Professor
LOCATION: Building 240 Conference Room 4313, Argonne National Laboratory
HOST: Mihai Anitescu

Description:
Motivated by the industry transition from single to many-core chip designs, this talk outlines a framework that leverages heterogeneous computing to tackle many-body dynamics problems. The heterogeneous computing infrastructure discussed relies on a combination of CPUs and GPUs, the latter regarded as co-processors, or accelerators, capable of delivering substantial efficiency gains in simulating many-body dynamics problems. Examples of such problems include granular material dynamics; fluid-structure interaction; and molecular dynamics analysis. After a brief review of emerging trends in hardware design, the discussion concentrates on a heterogeneous computing template (HCT) that our collaboration is putting together in order to capitalize on the industry shift towards many-core processor designs. The talk highlights several components of the HCT research/implementation project: a Dynamic Data Exchange Protocol (DDEP), a proximity calculation framework, partitioned iterative solvers, and a distributed post-processing capability. Outcomes of this ongoing collaboration are succinctly showcased in the context of three applications: a liquid sloshing problem, a tracked-vehicle mobility on granular terrain analysis, and a collision detection benchmark study. The talk concludes with a brief discussion of experimental efforts meant to validate the simulations enabled by the proposed computational dynamics framework.

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