Accelerating Simulation of Agent-Based Models on Heterogeneous Architectures

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Provided by: Georgia Institute of Technology
Topic: Hardware
Format: PDF
The wide usage of GPGPU programming models and compiler techniques enables the optimization of data-parallel programs on commodity GPUs. However, mapping GPGPU applications running on discrete parts to emerging integrated heterogeneous architectures such as the AMD Fusion APU and Intel Sandy/Ivy Bridge with the CPU and the GPU on the same die has not been well studied. Classic time-step simulation applications represented by agent-based models have the intrinsic parallel structure that is a good t for GPGPU architectures.
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