Post-Doctoral Experimental Research for the Evaluation of Multithreaded Architectures

[805216] Kavi, Krishna M.阿拉巴马大学亨茨维尔分校CISE多线程架构评估博士后实验研究最近的技术趋势导致内存和处理器之间的性能差距越来越大。多线程被吹捧为通过同时执行多个指令流来最小化由于内存延迟而导致的CPU周期损失的解决方案。在过去的几年中，PI一直在研究基于数据流范式和混合数据流-控制流范式的多线程架构。这项研究为数据流架构引入了缓存存储器，为多线程架构引入了连贯的i结构缓存存储器和交错分配的DOACROSS循环。博士后研究员将扩展跟踪生成工具的工作，为数据流和混合架构生成足够大的指令跟踪。只要有可能，传统体系结构的跟踪将被转换为数据流和多线程系统的跟踪。这将极大地帮助PI的研究评估数据流/混合模型的适用性，以及新的架构创新，如调度数据流，以及为更广泛的编程模型和应用程序推测预加载线程上下文。该研究的成功完成将对计算机体系结构研究产生更广泛的影响，因为它有助于在不需要编译器和运行时系统来实验评估新体系结构的情况下生成创新体系结构的大量轨迹，同时有助于扩大博士后的数量。

9805216 Kavi, Krishna M. University of Alabama in Huntsville CISE Postdoctoral Experimental Research for the Evaluation of Multithreaded Architectures Recent trends in technology have resulted in a widening of the performance gap between memory and processors. Multithreading has been touted as the solution to minimize the loss of CPU cycles due to memory latency by executing several instruction streams simultaneously. Over the past several years, the PI has been investigating multithreaded architectures, both based on dataflow paradigm and hybrid dataflow-control flow paradigms. This research led to the introduction of cache memories for dataflow architectures, coherent I-structure cache memories, and staggered allocation of DOACROSS loops for multithreaded architectures. The post-doctoral researcher will extend the work on trace generation tools to generate sufficiently large instruction traces for dataflow and hybrid architectures. Whenever possible, traces for conventional architectures will be converted into traces for dataflow and multithreaded systems. This will aid the PI's research significantly in evaluating the applicability of the dataflow/hybrid models and new architectural innovations such as scheduled dataflow, and speculatively preloading thread contexts for a wider range of programming models and applications. The successful completion of the research will have a broader impact on computer architecture research by facilitating the generation of large traces for innovative architectures without the need for compilers and runtime systems for experimentally evaluating the new architectures, and at the same time help to broaden the Postdoctoral Associate.