由於運算時間會因為製程、環境、硬體老化和預測式運算單元等因素導產生動態的改變，在動態執行時期發生非預期的資料同步問題使結果錯誤。本論文中，我們以平行執行、分散式與階層式的概念發展一個用於適應隨機延遲的控制器模型。平行執行能在固定時間內增加運算的數量，提升執行速度；分散式能有效率的控制運算單元平行執行，避免運算單元在完成運算後因為其他未完成的運算而產生閒置情況，增加晶片整體的執行效率；動態運算造成的資料同步問題會使運算結果發生錯誤，因此本論文提出三個定理，當運算滿足三定理時同步問題解決，並以階層式方法將處理同步問題的控制器區分成較小的控制單元，利用控制單元間的相互溝通解決變動運算造成的資料同步問題，各控制單元的功能與設計難度也將大幅度的簡化。根據實驗結果分析，我們的控制器模型能有效的減少運算單元的閒置時間，並且防止因為資料危障而產生錯誤。

Because of operation executing time would be changed by the factors such as process, environment, hardware aging and speculative function unit, unexpected data hazard problem will make error result in dynamically execution. In this master's dissertation, we use parallel executing, distributed and hierarchical concepts to develop a controller model for random latency operations. Parallel execution can increase the number of operations in fixed time and enhance the execution speed. Distributed method can efficiently control parallel execution of function units. Prevent finished function unit get into idle status from other unfinished operations and increase the performance of chip. Data hazard caused by dynamic operation will make operation result wrong. Therefore, this master's dissertation propose three theorems. When the executing operation satisfies the three theorems, data hazard is solved. And we classify the controllers that handle data hazard into smaller control units in hierarchical method. Data hazard which is caused by dynamic operation can be solved by the mutual communication between control units. The functions and design difficulties of each control unit will also be greatly reduced and simplified. According to the experimental results, our controller model can effectively reduce the idle time of function unit, and prevent error caused by data hazard.

[1]. A. A. Del Barrio, M. C. Molina, J. M. Mendias, E. Andres, R. Hermida, and F. Tirado, "Applying speculation techniques to implement functional units," in Computer Design, 2008. ICCD 2008. IEEE International Conference on, 2008, pp. 74-80.
[2]. A. A. Del Barrio, S. O. Memik, M. C. Molina, J. M. Mendias, and R. Hermida, “A Distributed Controller for Managing Speculative Functional Units in High Level Synthesis,” Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on, vol. 30, no. 3, pp. 350-363, 2011.
[3]. C. Pilato, V. G. Castellana, S. Lovergine, and F. Ferrandi, "A runtime adaptive controller for supporting hardware components with variable latency," in Adaptive Hardware and Systems (AHS), 2011 NASA/ESA Conference on, 2011, pp. 153-160.
[4]. L. Benini, E. Macii, and M. Poncino, "Efficient controller design for telescopic units," in Innovative Systems in Silicon, 1997. Proceedings., Second Annual IEEE International Conference on, 1997, pp. 290-299.
[5]. L. Benini, E. Macii, M. Poncino, and G. De Micheli, “Telescopic units: a new paradigm for performance optimization of VLSI designs,” Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on, vol. 17, no. 3, pp. 220-232, 1998.
[6]. Dennis Jack B., Misunas David P. 1975. A preliminary architecture for a basic data-flow processor. Proceedings of the 2nd annual symposium on Computer architecture, ACM.
[7]. Dennis Jack B. Dataflow computer architecture. Massachusetts Institute Of Technology Laboratory For Computbr Science, 1979 .