U.S.-France Cooperative Research (INRIA): A Viable Trade-off between Instruction-Level Parallelism (ILP) and Thread-Level Parallelism (TLP)

9815742Gaudiot这项为期三年的高性能计算美法合作研究的获奖者包括南加州大学的Jean-Luc Gaudiot、特拉华大学的Guang Gao和法国国家信息学和应用数学研究所（INRIA）的Christine Eisenbeis。他们的研究目标是模拟多线程多处理器的高性能计算。该项目为活跃的NSF多线程系统的函数式编程拨款增加了一个国际维度。美法合作的重点是模拟。研究人员建议指定、设计和实现一个跟踪模拟器，以识别计算机程序中并行性的来源。美国研究人员带来了处理器架构设计、多线程架构设计和应用方面的专业知识。这是法国在并行编译、代码分析和优化方面的专业知识的补充。该研究旨在为大规模并行科学计算开发更高效的内存。

9815742GaudiotThis three-year award for US-France cooperative research in high performance computing involves Jean-Luc Gaudiot of the University of Southern California, Guang Gao of the University of Delaware and Christine Eisenbeis at the French National Institute for Research in Informatics and Applied Mathematics (INRIA) at Rocquencourt. The objective of their research is simulation of multithreaded multiprocessors for high performance computing. The project adds an international dimension to an active NSF grant on functional programming of multithreaded systems. The US-France collaboration focuses on simulation. The investigators propose to specify, design and implement a trace simulator and to identify the sources of parallelism within a computer program.The US investigators bring to this collaboration expertise in processor architecture design, multithreaded architecture design and application. This is complemented by French expertise in parallel compilation, code analysis and optimization. The research addresses the development of more efficient memory for large-scale parallel scientific computing.