多處理(Multiprocessing) 系統是高效能運算的一個關鍵方法。但一般多
處理系統有記憶體存取延遲(latency) 過長和處理器間通訊
(communication) 及同步 (synchronization) 延遲過長的問題。多工作
線 (Multithreading) 是解決此問題的一個方法。在此同時﹐我們需要一
個好的編譯器 (compiler) 來發揮多工作線架構的特性。本論文針對傳統
語言(像 C 與 Fortran) 在多工作線架構上的編譯進行研究﹐設計出一套
適合多工作線架構之編譯器使用的中間碼(intermediate form) 及提出一
些利用多工作線架構特性的程式分割(program partition) 的方法。此中
間碼能使編譯作業更具效率﹐而程式分割則主要以發揮程式中最大平行度
為考量。我們在理想模式及較為真實的模式下評估這些程式分割方法效率
﹐及使用時機。

Multiprocessing is a key approach to high-performance
computing. However, multiprocessing has problems of long memory
latency and long inter-processor communication and
synchronization latency. Multithreading has been proposed as a
means for solving these problems. However, an effective
compiler is needed to exhibit the full power of a multithreaded
architecture. This study investigates several important aspects
of a parallel compiler for multithreaded architecture on
traditional languages (such as C and Fortran). We designed an
intermediate form for compilers of multithreaded systems and
proposed several program partition strategies. After evaluated
them on both an ideal and a more realistic model we found it is
effective.