NGS: Performance Modeling and Programming Environments for PetaFlop Computers and the Blue Gene Machine

EIA-0103645 Laxmikant V. KaleUniversity of Illinois性能建模和编程环境的PetaFlop计算机和蓝色基因机器该提案的目标是开发性能仿真能力，允许系统级分析和预测下一代复杂PetaFlop机器的性能，包括多级存储器层次结构和互连。 将开发的性能模拟器将用于测试这些机器中使用的编程环境中实现的并行数据结构和算法，以及为这些机器类开发应用程序的框架。 一些重要的应用将被用来测试和验证CS技术的进步。

EIA-0103645Laxmikant V. KaleUniversity of IllinoisPerformance Modeling and Programming Environments for PetaFlop Computers and the Blue Gene MachineThe objective of the proposal is to develop performance simulation capabilities to allow system level analysis and prediction of performance of the next generation complex PetaFlop machines that include multiple levels of memory hierarchy and interconnects. The performance simulator that will be developed will be used to test parallel data structures and algorithms implemented in programming environments used in these machines, as well as frameworks to enable the development of applications for these machine classes. A number of important applications will be used to test and validate the CS technology advances.