SHF:Small:Multicore Hardware/Software CoDesign using Fast, Cycle-Accurate Simulators

SHF:Small：使用快速、周期精确的模拟器进行多核硬件/软件协同设计

• 批准号: 0917158
• 负责人: Derek Chiou
• 金额: $ 43.32万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0917158&HistoricalAwards=false
• 关键词: SHF; Small; Multicore; Hardware; Software

Tuning software for improved performance/power is often extremely difficult because one cannot easily observe the entire inner workings and power consumption of running hardware at a fine time resolution. Thus, determining the root cause of performance and power issues can often only be done by careful crafting of experimental code, running that code, and measuring the limited information that can be observed.This proposed research is aimed at designing a new class of very fast and accurate simulators that, with proper instrumentation, can provide significantly more visibility than the modeled hardware. However, such simulators can result in information overload, making finding the issues difficult. Thus, the PI proposes to investigate methods to effectively and automatically find such issues so that they can more quickly and easily be addressed. Such methods could result in more efficient computer systems that can solve problems faster and/or use less energy, potentially impacting hardware and software developers and users alike.

调整软件以提高性能/功耗通常非常困难，因为人们无法轻松地以精细的时间分辨率观察运行硬件的整个内部工作原理和功耗。 因此，确定性能和功耗问题的根本原因通常只能通过仔细编写实验代码、运行该代码并测量可以观察到的有限信息来完成。这项研究旨在设计一种新型的非常快速和准确的模拟器，通过适当的仪器，可以提供比建模硬件更高的可视性。 然而，此类模拟器可能会导致信息过载，从而使查找问题变得困难。因此，PI 建议研究有效、自动发现此类问题的方法，以便更快、更轻松地解决这些问题。 此类方法可能会产生更高效的计算机系统，可以更快地解决问题和/或使用更少的能源，从而潜在地影响硬件和软件开发人员以及用户等。