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CISE Postdoctoral Research Associates in Experimental Computer Science: Experimental Evaluation of Active Caches For Fine Grain Multi-Threading Systems

CISE 实验计算机科学博士后研究员：细粒度多线程系统的活动缓存的实验评估

基本信息

批准号：
9901553
负责人：
Guang Gao
金额：
$ 6.07万
依托单位：
University of Delaware
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
1999
资助国家：
美国
起止时间：
1999-08-15 至 2001-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=9901553&HistoricalAwards=false
关键词：
CISE Postdoctoral Research Associates Experimental

项目摘要

9901553Gao, Guang R.University of DelawareCISE Postdoctoral Associates in Experimental Computer Science: ExperimentalEvaluation of Active Caches for Fine Grain Multi-Threading SystemsThis research will investigate the effect of active cache memories on computer system performance. An active cache is capable of controlling complex data transformations and data movements under the direction of a programmer or compiler. This study, performed through system simulation, requires designing active caches, proposing performance models for the caches, and developing compiler mechanisms to support the percolation model of execution.A percolation model of execution has been proposed in which the application requests that some data transformations be performed and that the transformed data be transferred to a higher level in the memory hierarchy. A thread becomes ready for execution when the data that it needs has percolated. The active caching mechanism is necessary in systems in which the latency to fetch a piece of data in a lower level of the memory hierarchy is much higher than the time required to process the data.The effectiveness of caches that actively percolate data closer to the processing unit before the execution of a piece of code starts is being proposed. This model is different from traditional pre-fetching because itis not based in any prediction mechanism: the instructions requesting the percolation of a data block are inserted into the code either under the programmer direction or through compiler technology. It is expecedt that the experimental study that demonstrates the viability of this idea will spur further research in the area of active hardware system components.

9901553 Gao，Guang R.University of DelawaerCISE Postdoctoral Associates in Experimental Computer Science：ExperimentalEvaluation of Active Cache for Fine Grain Multi-Threading Systems本研究将调查主动缓存存储器对计算机系统性能的影响。主动缓存能够在程序员或编译器的指导下控制复杂的数据转换和数据移动。通过系统仿真，设计了主动缓存，提出了缓存的性能模型，并开发了支持渗流模型的编译器机制，提出了一种渗流模型，在该模型中，应用程序请求执行某些数据转换，并将转换后的数据传输到存储层次结构中的更高级别。当一个线程需要的数据被存储后，它就可以执行了。主动缓存机制在系统中是必要的，其中在存储器层次结构的较低级别中获取一段数据的延迟远远高于处理数据所需的时间。正在提出在一段代码开始执行之前主动渗透数据更接近处理单元的缓存的有效性。该模型不同于传统的预取，因为它不基于任何预测机制：请求渗透数据块的指令在程序员的指导下或通过编译器技术插入到代码中。实验研究证明了这一思想的可行性，这将促进有源硬件系统组件领域的进一步研究。