NDLI: Accelerating Large Scale Artificial Society Simulation with CPU/GPU based Heterogeneous Parallel Method

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Accelerating Large Scale Artificial Society Simulation with CPU/GPU based Heterogeneous Parallel Method

Content Provider	ACM Digital Library
Author	Gang, Guo Bin, Chen Xiaogang, Qiu Zhen, Li
Abstract	artificial society is an effective way for social science research. However, in order to meet real-time and super realtime requirement of computational experiment, the execution efficiency of large-scale artificial society then becomes the burning question. The emergence of heterogeneous parallel system offers opportunities and challenges for accelerating large scale artificial society simulation. How to fully utilize heterogeneous computational resources in large scale agent based simulation becomes the key issue. The paper proposes a CPU/GPU-based accelerating computational method, in which GPU is fully utilized in two different ways at the same time. Firstly GPU is treated as host processor, and a GPU based simulation kernel is designed to execute the models collaboratively with CPU simulation kernel. Secondly, in order to accelerate the domain-specific models, a specific domain-oriented GPU simulation computational service component is proposed, and GPU is used as a coprocessor to offer domain-specific parallel optimization. A SPMT (Single Process Multi Threads) based conservative parallel simulation framework is proposed to integrate the GPU simulation kernel and computational service component. At last, an experiment is designed to test the efficiency of GPU based simulation kernel, and argues about the application mode of GPU.
Starting Page	155
Ending Page	162
Page Count	8
File Format	PDF
ISBN	9781467378222
DOI	10.1109/DS-RT.2015.11
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-10-14
Access Restriction	Subscribed
Subject Keyword	Cpu/gpu Artificial society Parallel discrete event simulation Computational service component
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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