Halic Tansel, Ahn Woojin, De Suvranu
Computer Science Department, University of Central Arkansas, Conway, AR, USA.
Stud Health Technol Inform. 2013;184:168-74.
This paper presents a technique for performance optimization of multimodal interactive web-based medical simulation. A web-based simulation framework is promising for easy access and wide dissemination of medical simulation. However, the real-time performance of the simulation highly depends on hardware capability on the client side. Providing consistent simulation in different hardware is critical for reliable medical simulation. This paper proposes a non-linear mixed integer programming model to optimize the performance of visualization and physics computation while considering hardware capability and application specific constraints. The optimization model identifies and parameterizes the rendering and computing capabilities of the client hardware using an exploratory proxy code. The parameters are utilized to determine the optimized simulation conditions including texture sizes, mesh sizes and canvas resolution. The test results show that the optimization model not only achieves a desired frame per second but also resolves visual artifacts due to low performance hardware.
本文提出了一种用于基于网络的多模态交互式医学模拟性能优化的技术。基于网络的模拟框架对于医学模拟的便捷访问和广泛传播很有前景。然而，模拟的实时性能高度依赖于客户端的硬件能力。在不同硬件上提供一致的模拟对于可靠的医学模拟至关重要。本文提出了一种非线性混合整数规划模型，在考虑硬件能力和应用特定约束的同时优化可视化和物理计算的性能。优化模型使用探索性代理代码识别并参数化客户端硬件的渲染和计算能力。这些参数用于确定优化的模拟条件，包括纹理大小、网格大小和画布分辨率。测试结果表明，优化模型不仅实现了所需的每秒帧数，还解决了由于低性能硬件导致的视觉伪像。
