Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-28 Cooperative journals: 《中国科学院院刊》
Abstract： Combining scientific modeling, algorithm, development of software, and computational simulation, high performance computing plays a very important role in key scientific discoveries of basic scientific research area and modern engineering technology. Starting from demands of different scientific computing applications toward high performance computer and its development trend, this article analyzed a successful case that scientists from different institutes of Chinese Academy of Sciences (CAS) by working together finished a variety of application packages on Dawning 1000 supercomputer. They achieved some milestones in electronic structure calculation of natural DNA molecule, electronic state theoretical analysis of laser crystal material, and parallel computing of eigenvalue problem. CAS is always in the frontier of domestic scientific computing applications these years. In the condition of higher application level, larger computational scale, and outstanding achievements, we selected several typical traditional scientific computing applications including atmosphere science, life science, high energy physics, computational chemistry, material science and introduced their current status, promotion to application field, and future trend from a point of view of a scientist. Finally, several suggestions on developing China’s further scientific computing have been proposed.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-04-17 Cooperative journals: 《计算机应用研究》
Abstract： The computational speed is important for the crucial for option traders to efficiently decide the price and evaluate the corresponding risk, and cloud parallel computing provides a low-cost implementation by providers’ Pay-as-You-Go policy. Based on Microsoft’s cloud platform Windows Azure, developed a option pricing’s pilot cloud software - AzureOP, this software provided low risk and high speed with a lower cost, and presented simulation results of AzureOP for American Put, plotted the corresponding option pricing curve and pricing surface. Finally, makes conclusions and discusses the advantage and the disadvantage of computational finance on the cloud, and illustrates the details development of pilot cloud software AzureOP.
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