Real-Time Agent-Based Modeling Simulation with in-situ Visualization of Complex Biological Systems: A Case Study on Vocal Fold Inflammation and Healing
| Autor: | Joseph JaJa, Caroline Shung, Nicole Y K Li-Jessen, Luc Mongeau, Nuttiiya Seekhao |
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| Rok vydání: | 2016 |
| Předmět: |
Speedup
Fold (higher-order function) Computer science business.industry Distributed computing 0206 medical engineering Symmetric multiprocessor system 02 engineering and technology Article 020202 computer hardware & architecture Data modeling Modeling and simulation Data visualization Embedded system Scalability 0202 electrical engineering electronic engineering information engineering business 020602 bioinformatics |
| Zdroj: | IPDPS Workshops |
| ISSN: | 2164-7062 |
| Popis: | We present an efficient and scalable scheme for implementing agent-based modeling (ABM) simulation with In Situ visualization of large complex systems on heterogeneous computing platforms. The scheme is designed to make optimal use of the resources available on a heterogeneous platform consisting of a multicore CPU and a GPU, resulting in minimal to no resource idle time. Furthermore, the scheme was implemented under a client-server paradigm that enables remote users to visualize and analyze simulation data as it is being generated at each time step of the model. Performance of a simulation case study of vocal fold inflammation and wound healing with 3.8 million agents shows 35x and 7x speedup in execution time over single-core and multi-core CPU respectively. Each iteration of the model took less than 200 ms to simulate, visualize and send the results to the client. This enables users to monitor the simulation in real-time and modify its course as needed. |
| Databáze: | OpenAIRE |
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