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Utilizing Control Independence and Multi-Threading to Exploit P

利用控制独立性和多线程来利用 P

基本信息

批准号：
0073582
负责人：
Manoj Franklin
金额：
$ 20万
依托单位：
University of Maryland, College Park
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2000
资助国家：
美国
起止时间：
2000-09-01 至 2003-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=0073582&HistoricalAwards=false
关键词：
Utilizing Control Independence Multi Threading

项目摘要

The primary objective of the project is to investigate techniques to utilize control independence and compiler-directed multi-threading to exploit instruction-level and thread-level parallelism from ordinary programs. The first step involves investigating the science of ILP that is present when utilizing control independence and multi-threading. Some of the questions that are addressed are: what is required to exploit parallelism, how much of the parallelism can be exploited by simple techniques such as predicated execution or data value prediction, how far should instructions be moved (statically or dynamically) to exploit it how is it impacted by practical considerations, how can it be enhanced by software transformations, on which portions of the code should software transformations be carried out and what should the nature of these transformations be, and what are the characteristics of the storage needed to exploit the available parallelism?The second step involves investigating hardware and software techniques to exploit the benefits of control independence and data speculation in a multi-threading environment. In particular, the use of novel methods to represent/specify control independence (and data independence) is investigated. Issues relevant to multi-threading, such as tradeoffs between the number of speculative paths and performance are also studied using detailed simulation models.

该项目的主要目标是研究利用控制独立性和编译器导向的多线程来利用普通程序的指令级和线程级并行性的技术。第一步涉及调查在利用控制独立性和多线程时存在的ILP科学。这些问题包括：需要利用并行性是什么,多少可以利用并行性的简单技术,如建立执行或数据值预测,说明应该移动多远(静态或动态)利用它是如何影响实际考虑,如何通过软件转换,它可以增强代码的哪些部分应该软件转换进行这些转换的本质应该是什么,利用可用的并行性所需的存储的特征是什么？第二步涉及研究硬件和软件技术，以利用多线程环境中控制独立性和数据推测的好处。特别是，使用新的方法来表示/指定控制独立性（和数据独立性）进行了研究。与多线程相关的问题，例如推测路径数量和性能之间的权衡，也使用详细的仿真模型进行了研究。