SHF: Software Tools and Techniques for Maximizing Realism on Multi-core Processors

SHF：最大化多核处理器真实性的软件工具和技术

• 批准号: 0916962
• 负责人: Santosh Pande
• 金额: $ 47.72万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0916962&HistoricalAwards=false
• 关键词: SHF; Software; Tools; Techniques; Maximizing

High performance computing is used to run models of the real world. This is true in both ultra high performance simulations used in scientific computing to study Physics, Biology etc. as well in designing approximations of real world involving applications such as gaming, social networks etc. Maximizing realism of the world being modeled and mimicked is the key to get this right. This work attacks the problem of realism on two fronts : first a framework is developed to speed up sequential parts of the computation using a large number of available cores based on a new concept of probabilistic speed-up. Secondly a runtime solution is devised to maximize realism in immersive applications such as gaming under the constraint of responsiveness. The frameworks involve development of programming models, interfaces, APIs and run-time system to solve the above problems by managing the underlying parallelism and computation. Apart from research this effort involves developing a cross-cutting graduate level course that spans between simulations, algorithms and programming languages.

高性能计算用于运行现实世界的模型。这无论是在科学计算中用于研究物理、生物学等的超高性能模拟，还是在设计涉及游戏、社交网络等应用程序的现实世界的近似值时都是如此。最大限度地提高所建模和模仿的世界的真实感是实现这一点的关键。这项工作从两个方面解决了现实性问题：首先，开发了一个框架，基于概率加速的新概念，使用大量可用核心来加速计算的连续部分。其次，设计了运行时解决方案，以在响应能力的约束下最大限度地提高沉浸式应用程序（例如游戏）的真实感。 该框架涉及编程模型、接口、API 和运行时系统的开发，通过管理底层并行性和计算来解决上述问题。除了研究之外，这项工作还包括开发跨领域的研究生课程，涵盖模拟、算法和编程语言。