CRI: IAD Resources for Branch Prediction Research

拟议的基础设施收购和发展将提供计算资源，以提高PI部门的教师和学生进行计算密集型研究项目的能力。一个由32台计算机组成的集群将为分支预测领域的编译器和计算机体系结构研究提供高吞吐量。准确的分支预测使处理器能够预测和响应未来的事件，以提高性能，同时保持由于错误路径推测而导致的低能耗。该基础设施将允许在多核处理器上运行的程序的性能和能量进行测量，并支持编译器、处理器微架构和各种分支预测器方案的建模，这些方案可以最好地响应程序执行中发生的变化。

The proposed infrastructure acquisition and development will provide computing resources to enhance the ability of faculty and students in the PI's department to do computationally instensive research projects. A cluster of 32 computers will provide high throughput for tasks arising from compiler and computer architecture research done on in the area of branch prediction. Accurate branch prediction enables a processor to anticipate and respond to future events in order to improve performance while keeping energy consumption due to wrong-path speculation low. The infrastructure will allow the performance and energy of programs running on multicore processors to be measured and enable the modeling of compiler, processor microarchitecture and various branch predictor schemes which can best respond to changes occuring in program execution.