Scalable Exploration of Computer Simulations

计算科学正在给科学的研究方式带来革命性变化。计算科学的核心是对科学家在真实世界中建立的模型进行算法描述和模拟。这些计算机模拟的力量是双重的；模拟可以检查我们对现实世界的理解是否与实际测量的数据相匹配，模拟也是创造新假设和发现非常难以观察或测量的真实世界行为的工具。利用经过充分测试和验证的计算机模拟作为真实世界场景的代理，可以预测这些复杂系统的未来行为，研究系统的不同状态及其转变，或者找到最优和稳定的设置。

Computational science has been revolutionizing the way science is done. At the core of computational science is the algorithmic description and simulation of the models that a scientist builds about the real-world. The power of these computer simulations is two-fold; simulations can check whether our understanding of the real-world matches with actual measured data, and simulations are also the vehicle to create new hypotheses and to discover real-world behaviors that would be very difficult to observe or measure. With well-tested and validated computer simulations as the proxy of real-world scenarios future behavior of these complex systems can be predicted, different states of a system as well as their transitions studied, or optimal and stable settings found.