کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
502150 863685 2015 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multi-GPU-based Swendsen–Wang multi-cluster algorithm with reduced data traffic
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی تئوریک و عملی
پیش نمایش صفحه اول مقاله
Multi-GPU-based Swendsen–Wang multi-cluster algorithm with reduced data traffic
چکیده انگلیسی

The computational performance of multi-GPU applications can be degraded by the data communication between each GPU. To realize high-speed computation with multiple GPUs, we should minimize the cost of this data communication. In this paper, I propose a multiple GPU computing method for the Swendsen–Wang (SW) multi-cluster algorithm that reduces the data traffic between each GPU. I realize this reduction in data traffic by adjusting the connection information between each GPU in advance. The code is implemented on the large-scale open science TSUBAME 2.5 supercomputer, and its performance is evaluated using a simulation of the three-dimensional Ising model at the critical temperature. The results show that the data communication between each GPU is reduced by 90%, and the number of communications between each GPU decreases by about half. Using 512 GPUs, the computation time is 0.005 ns per spin update at the critical temperature for a total system size of N=40963N=40963.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Physics Communications - Volume 195, October 2015, Pages 84–94
نویسندگان
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