This paper discusses design methodology of high-throughput arithmetic pipeline modules for an FPGA-based biochemical simulator. Since limitation of data-input bandwidth caused by port constraints often has a negative impact on pipeline scheduling results, we propose a priority assignment method of input data which enables efficient arithmetic pipeline scheduling under given input port constraints. Evaluation results with frequently used rate-law functions in biochemical models revealed that the proposed method achieved shorter latency compared to ASAP and ALAP scheduling with random input orders, reducing hardware costs by 17.57 % and by 27.43 % on average, respectively.
|ジャーナル||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|出版物ステータス||Published - 2009 6 22|
|イベント||5th International Workshop of Applied Reconfigurable Computing, ARC 2009 - Karlsruhe, United States|
継続期間: 2009 3 16 → 2009 3 18
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)