A. Gothandaraman, S. Sadatian, Michal Faryniarz, O. Berman, G. Kolmakov
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引用次数: 4
摘要
在本文中，我们探索使用图形处理单元(gpu)来数值求解具有外部势的非线性Gross-Pitaevskii方程。我们的实现使用了NVIDIA的计算统一设备架构(CUDA)编程范例，并演示了在NVIDIA Tesla C2050 (Fermi) GPU上的加速，与在英特尔至强5500系列处理器的单核上优化的软件实现相比，加速了190x。我们将所开发的技术应用于半导体纳米结构中激子的玻色-爱因斯坦凝聚(BEC)研究。该技术也适用于原子凝聚体、量子流体中的量子化涡流、光脉冲在光波导中的传播以及海浪动力学的研究。
Application of Graphics Processing Units (GPUs) to the Study of Non-linear Dynamics of the Exciton Bose-Einstein Condensate in a Semiconductor Quantum Well
In this paper, we explore the use of Graphics Processing Units (GPUs) to solve numerically the nonlinear Gross-Pitaevskii equation with an external potential. Our implementation uses NVIDIA's Compute Unified Device Architecture (CUDA) programming paradigm and demonstrates a speedup of 190x on an NVIDIA Tesla C2050 (Fermi) GPU compared to an optimized software implementation on a single-core of an Intel Xeon 5500-series processor. We apply the developed technique to the study of Bose-Einstein condensation (BEC) of excitons in semiconductor nanostructures. The technique is also applicable to the studies of atomic condensates, quantized vortices in quantum fluids, propagation of light pulses in optical wave guides, and ocean wave dynamics.
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