SC12 Home > SC12 Schedule > SC12 Presentation - Multi-GPU-Based Calculation of Percolation Problem on the TSUBAME 2.0 Supercomputer

SCHEDULE: NOV 10-16, 2012

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Multi-GPU-Based Calculation of Percolation Problem on the TSUBAME 2.0 Supercomputer

SESSION: Research Poster Reception

EVENT TYPE: Posters and Electronic Posters

TIME: 5:15PM - 7:00PM

SESSION CHAIR: Torsten Hoefler

AUTHOR(S):Yukihiro Komura, Yutaka Okabe

ROOM:East Entrance

ABSTRACT:
We present the multi-GPU-based calculation of percolation problem on the 2D regular lattice for the multiple GPUs on the large-scale open science supercomputer TSUBAME 2.0. Recently, we presented the multiple GPU computing with the common unified device architecture (CUDA) for the cluster labeling. We adapt this cluster labeling algorithm to the percolation problem. In addition, we modify this cluster labeling algorithm in order to simplify the analysis for the percolation. As a result, we realized the large scale and rapid calculations without a decay of computational speed on the analysis for the percolation, and the calculation time for the 2D bond percolation with L=65536 is obtained as 180 milliseconds per a single realization.

Chair/Author Details:

Torsten Hoefler (Chair) - ETH Zurich

Yukihiro Komura - Tokyo Metropolitan University

Yutaka Okabe - Tokyo Metropolitan university

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Multi-GPU-Based Calculation of Percolation Problem on the TSUBAME 2.0 Supercomputer

SESSION: Research Poster Reception

EVENT TYPE:

TIME: 5:15PM - 7:00PM

SESSION CHAIR: Torsten Hoefler

AUTHOR(S):Yukihiro Komura, Yutaka Okabe

ROOM:East Entrance

ABSTRACT:
We present the multi-GPU-based calculation of percolation problem on the 2D regular lattice for the multiple GPUs on the large-scale open science supercomputer TSUBAME 2.0. Recently, we presented the multiple GPU computing with the common unified device architecture (CUDA) for the cluster labeling. We adapt this cluster labeling algorithm to the percolation problem. In addition, we modify this cluster labeling algorithm in order to simplify the analysis for the percolation. As a result, we realized the large scale and rapid calculations without a decay of computational speed on the analysis for the percolation, and the calculation time for the 2D bond percolation with L=65536 is obtained as 180 milliseconds per a single realization.

Chair/Author Details:

Torsten Hoefler (Chair) - ETH Zurich

Yukihiro Komura - Tokyo Metropolitan University

Yutaka Okabe - Tokyo Metropolitan university

Add to iCal  Click here to download .ics calendar file

Add to Outlook  Click here to download .vcs calendar file

Add to Google Calendarss  Click here to add event to your Google Calendar