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An Experience Report on (Auto-)tuning of Mesh-Based PDE Solvers on Shared Memory Systems Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Towards Multi-Agent Simulations Accelerated by GPU

Authors : Kamil Piętak, Paweł Topa

Published in: Parallel Processing and Applied Mathematics

Publisher: Springer International Publishing

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Abstract

At present, GPUs (Graphics Processing Units) are commonly used to speedup any kind of computations. In this paper we present how GPUs and Nvidia CUDA can be used to accelerate the updating of and agent state in Multi-Agent Simulations. We use the AgE (Agent Evolution) software framework written in Java, which supports agent-based computations. In our simulations agents represent living organisms that interact with the virtual habitat and with each other. At each step of the simulation thousands of agents update their state according to a defined set of rules. We use Java bindings for CUDA (JCUDA) to move massive computations to GPU.

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Metadata
Title
Towards Multi-Agent Simulations Accelerated by GPU
Authors
Kamil Piętak
Paweł Topa
Copyright Year
2018
Book
Parallel Processing and Applied Mathematics

Print ISBN: 978-3-319-78053-5

Electronic ISBN: 978-3-319-78054-2

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-78054-2_43

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