A C2RTL Framework Supporting Partition, Parallelization, and FIFO Sizing for Streaming Applications

作者：Zhang Daming^*; Li Shuangchen; Liu Yongpan; Hu Xiaobo Sharon; He Xinyu; Zhang Yining; Zhang Pei; Yang Huazhong

来源：ACM Transactions on Design Automation of Electronic Systems, 2016, 21(2): 19.

DOI：10.1145/2797135

• System-level design and optimization
• partition
• parallelization
• FIFO sizing
• streaming applications

Developing circuits for streaming applications written in C (or its variants) can benefit greatly from C-to-RTL (C2RTL) synthesis. Yet, most existing C2RTL tools lack system-level options to trade off various design constraints, such as delay and area. This article introduces a systematic way to accomplish C2RTL synthesis for streaming applications containing thousands of lines of C (or its variants) codes. Synthesizing circuits for such large applications presents serious challenges for existing C2RTL tools. Specifically, the proposed approach determines simultaneously the number of pipeline stages and the number of times that each functional block is duplicated in each pipeline stage. A mixed integer linear programming-based solution is formulated for obtaining the optimal solution. Furthermore, a heuristic algorithm is developed for large-scale problems. To accommodate the differences of the data rates between the adjacent hardwaremodules, first-in-first-out (FIFO) buffers are indispensable, but their overheads are nonnegligible. A parallelism-aware FIFO sizing method is also introduced to determine the optimal sizes of FIFOs. Experimental results on seven real-world applications demonstrate that the algorithms in the synthesis flow can make effective design trade-offs and find superior solutions in a short time compared with existing approaches. Furthermore, the algorithms achieve optimal results in most cases with subsecond running time.

• 出版日期2016-1
• 单位清华大学