SHF: Small: Interactive Refactoring for Multicore Parallelism

在多核时代，一项主要的编程任务是使现有的顺序程序并行。将现有的顺序程序并行化的一种方法是从头开始重写它。然而，最常见的方法是通过更改现有代码来递增地并行化程序。每一小步都可以被视为保持行为的转换，即重构。虽然重构比重写更经济，但它仍然繁琐，因为它需要更改多行代码，而且容易出错，并且不是微不足道的，因为程序员需要确保并行操作的不干扰。该项目旨在显著丰富教育资源和程序员的工具集，用于重构顺序程序的并行性，并提高已经并行的程序的性能。PI计划在三个领域开展研究活动：(1)通过研究广泛使用的开源程序的演变来挖掘重构；(2)自动重构程序员经常使用的并行性；以及(3)建议重构，以提供几个在性能或线程安全方面具有不同权衡的候选程序。这个项目有可能彻底改变程序员并行化软件的方式，教育他们关于成功的并行化技术，并显著降低成本和提高代码质量。

In the multicore era, a major programming task is to make existing sequential programs parallel. One approach to parallelizing an existing sequential program is to rewrite it from scratch. However, the most common way is to parallelize a program incrementally, by changing the existing code. Each small step can be seen as a behavior-preserving transformation, i.e., a refactoring. While refactoring is more economical than rewriting, it is still tedious because it requires changing many lines of code, and it is error-prone and non-trivial because programmers need to ensure non-interference of parallel operations.This project aims to significantly enrich educational resources and programmers' toolset for refactoring sequential programs for parallelism and improving the performance of already parallel programs. The PIs plan to pursue research activities in three areas:(1) mining refactorings by studying the evolution of widely used open-source programs; (2) automating refactorings for parallelism that programmers frequently use; and (3) suggesting refactorings that offer several candidate programs with different trade-offs in terms of performance or thread-safety. This project has the potential to revolutionize how programmers parallelize software, to educate them about successful parallelization techniques, and to significantly reduce the cost and increase the quality of their code.