Exploring Multiple Control Flows for ILP Processors

探索 ILP 处理器的多个控制流

• 批准号: 9711566
• 负责人: Manoj Franklin
• 金额: $ 12.97万
• 依托单位: Clemson University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-07-01 至 2000-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9711566&HistoricalAwards=false
• 关键词: Exploring; Multiple; Control; Flows; ILP

Instruction-level parallel (ILP) processing has been an area of great interest in the computer architecture community and the semiconductor industry. Almost all of the processors developed since the last decade do ILP processing in a major way. Ongoing advances in ILP processing necessitate a careful examination of the amount of parallelism that exists in typical programs under various execution models. The main objective of this research is to investigate the potential of pursuing multiple control flows in ILP processors. The study starts by quantifying the effect of different control flow constraints on available parallelism. Software support for pursuing multiple control flows is then studied. Novel methods to specify control independence and data independence to the hardware are part of this study on software support. This research also studies hardware issues relevant to pursuing multiple control flows, such as tradeoffs between the number of speculative paths and performance using detailed simulation models. Preliminary simulation studies have been conducted to get an idea of the amount of parallelism available with single control flow and multiple control flows. These preliminary results indicate a factor of 2 increase in available parallelism when multiple control flows is pursued instead of a single control flow.

指令级并行（ILP）处理一直是计算机体系结构社区和半导体工业中非常感兴趣的领域。 近十年来开发的几乎所有处理器都以ILP处理为主。 ILP处理的不断进步需要仔细检查各种执行模型下典型程序中存在的并行性。本研究的主要目的是探讨在ILP处理器中追求多控制流的潜力。 该研究首先量化不同的控制流约束对可用并行性的影响。 软件支持追求多个控制流，然后研究。 新的方法来指定控制独立性和数据独立性的硬件是本研究的软件支持的一部分。 本研究还研究了硬件相关的问题，追求多个控制流，如投机路径和性能之间的权衡使用详细的仿真模型的数量。 已经进行了初步的模拟研究，以了解单个控制流和多个控制流的并行度。 这些初步的结果表明，在可用的并行性增加了2倍时，追求多个控制流，而不是一个单一的控制流。