Presidential Young Investigator: Code Generation for Uniprocessors

Eggers 本研究的长期重点是提高并行程序的性能。 一个推力使用编译器技术来获得更好的多处理器高速缓存性能，即，减少与共享相关的公交车流量。 该工作的初始阶段是检测错误共享并测量其对高速缓存未命中率和总线利用率的影响。 调查的另一个领域是测量非科学并行程序中程序级并行性的数量和类型，并确定最佳执行它们的硬件并行性水平。 目前的研究重点主要集中在以下几个方面：1. 共享数据的快速重组; 2. 3.代码生成; 单地址空间体系结构的保护模型。

Eggers The long range focus of this research is on improving the performance of parallel programs. One thrust uses compiler technology to obtain better multiprocessor cache performance, i.e., reduce the amount of sharing-related bus traffic. The initial phase of that work is the detection of false sharing and measuring its impact on cache miss ratios and bus utilization. Another area of investigation is measuring the amount and type of program level parallelism in nonscientific parallel programs and determining the levels of hardware parallelism that best execute them. The current focus of the research is in the following areas: 1. Compiler reorganization of shared data; 2. Runtime code generation; and 3. A protection model for a single address space architecture.