Construction of Designs and Codes using computers

使用计算机构建设计和代码

• 批准号: 9373-2012
• 负责人: Lam, Clement
• 金额: $ 1.02万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=507865
• 关键词: Construction; Designs; Codes; using; computers

The long term objective of my research is to use computers to solve open problems related to the existence and enumeration of combinatorial objects. One characteristic of this type of research is that it often requires a large amount of computing, something equivalent to using hundreds of computers over months or years. Since the mid 1990's, computers found in typical university teaching laboratories provide the most cost-effective computing environment. One can just use these computers for research purposes when no students are using them, such as during the overnight hours. However, this fortunate situation is changing. As the price of computer drops, more and more students are buying their own laptops. Universities are starting to cut back on general computing facilities that students do not need, and moving towards a model of providing fewer computers but with higher-end models that students normally do not have access to, in order to complement their learning experience. The net result, for the researchers, is that we have access to fewer but more powerful computers. These high end computers typically have multi-core CPU's, and have powerful graphics processors. While it is easy to effectively use the multi-core CPU's, using the graphics processors effectively is not as simple.

我研究的长期目标是使用计算机解决与组合对象的存在和枚举相关的开放问题。 此类研究的一个特点是它通常需要大量计算，相当于使用数百台计算机数月或数年。 自 20 世纪 90 年代中期以来，典型大学教学实验室中的计算机提供了最具成本效益的计算环境。当没有学生使用这些计算机时，例如在夜间，人们可以将这些计算机用于研究目的。然而，这种幸运的局面正在发生改变。随着电脑价格的下降，越来越多的学生开始购买自己的笔记本电脑。大学开始削减学生不需要的通用计算设施，并转向提供较少计算机但提供学生通常无法使用的更高端型号的模式，以补充他们的学习体验。对于研究人员来说，最终的结果是我们能够使用更少但更强大的计算机。这些高端计算机通常具有多核 CPU，并具有强大的图形处理器。虽然有效地使用多核 CPU 很容易，但有效地使用图形处理器却没有那么简单。