BDD操作的高效并行GPU算法

2014 19th Asia and South Pacific Design Automation Conference (ASP-DAC) Pub Date : 2014-02-20 DOI:10.1109/ASPDAC.2014.6742980

M. Velev, Ping Gao

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引用次数: 9

摘要

我们提出了二进制决策图(BDD)操作的并行算法，优化了图形处理单元(gpu)上的有效执行。与具有相同功能的基于顺序cpu的BDD包相比，我们的GPU实现实现了至少5个数量级的加速。据我们所知，这是第一个使用gpu来加速BDD包的工作。

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Efficient parallel GPU algorithms for BDD manipulation

We present parallel algorithms for Binary Decision Diagram (BDD) manipulation optimized for efficient execution on Graphics Processing Units (GPUs). Compared to a sequential CPU-based BDD package with the same capabilities, our GPU implementation achieves at least 5 orders of magnitude speedup. To the best of our knowledge, this is the first work on using GPUs to accelerate a BDD package.

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来源期刊

2014 19th Asia and South Pacific Design Automation Conference (ASP-DAC)

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