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

9815742 Gaudiot这项为期三年的高性能计算美法合作研究奖项涉及南加州大学的Jean-Luc Gaudiot、特拉华大学的Guang Gao和位于Rocquencourt的法国国家信息学和应用数学研究所(INRIA)的Christine Eisenbeis。他们的研究目标是为高性能计算模拟多线程多处理器。该项目为NSF关于多线程系统函数式编程的积极赠款增加了一个国际层面。美法合作的重点是模拟。调查人员建议指定、设计和实现一个跟踪模拟器，并确定计算机程序中的并行性来源。美国调查人员将处理器体系结构设计、多线程体系结构设计和应用方面的专业知识带到这一合作中。法国在并行编译、代码分析和优化方面的专业知识补充了这一点。这项研究致力于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.