Mapping Applications to a Coarse-Grained Reconfigurable Architecture

نویسنده

  • Yuanqing Guo
چکیده

Today the most commonly used system architectures in data processing can be divided into three categories: general purpose processors, application specific architectures and reconfigurable architectures. General purpose processors are flexible, but inefficient and for some applications do not offer enough performance. Application specific architectures are efficient and give good performance, but are inflexible. Recently reconfigurable systems have drawn increasing attention due to their combination of flexibility and efficiency. Reconfigurable architectures limit their flexibility to a particular algorithm domain. Two types of reconfigurable architectures exist: fine-grained in which the functionality of the hardware is specified at the bit level and coarsegrained in which the functionality of the hardware is specified at the word level. High-level design entry tools are essential for reconfigurable systems, especially coarse-grained reconfigurable architectures. However, the tools for coarse-grained reconfigurable architectures are far from mature. This thesis proposes a method for mapping applications onto a coarsegrained reconfigurable architecture. This is a heuristic method which tackles this complex problem in four phases: translation, clustering, scheduling and allocation. In this thesis, the Montium tile processor, a coarse-grained reconfigurable architecture, is used to demonstrate the proposed mapping method. In the translation phase, an input program written in a high-level language is translated into a control data flow graph; and some transformations and simplifications are done on the control data flow graph. In the clustering phase, the data flow graph is partitioned into clusters and mapped onto an unbounded number of fully connected Arithmetic Logic Units (ALUs). The ALU structure is the main concern of this phase and we do not take the interALU communication into consideration. In the scheduling phase the graph obtained from the clustering phase is scheduled taking the maximum number of ALUs into account. The scheduling algorithm tries to minimize the num-

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تاریخ انتشار 2006