建议。并行VHDL仿真的性能评价

Wilco Van Hoogstraeten, H. Corporaal
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引用次数: 6

摘要

VHDL是目前应用最广泛的硬件描述语言之一。用VHDL编写的应用程序越来越大,越来越复杂,这促使使用并行算法来获得可接受的仿真性能。我们研究了乐观分布式算法与VHDL仿真的使用。乐观仿真算法已被证明可以提供目前可用的仿真策略的最高性能。然而,它是一个难以实现的算法,特别是对于具有高级编程语言所有特征的VHDL。在我们的模拟环境ADVISE中,对于一个中等规模的基准测试,我们获得了大约4倍的加速。加速的数量取决于所使用的多处理器架构的类型、分区算法和优化。进一步优化ADVISE中的模拟和分区算法、使用更高级的编译策略和更大的基准测试应该会带来更高的速度,因此值得进一步研究这种方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ADVISE. Performance evaluation of parallel VHDL simulation
VHDL is one of the most important and widely used hardware description languages at this time. Applications written in VHDL are increasing in size and complexity, which prompts the use of parallel algorithms to obtain acceptable simulation performance. We have investigated the use of optimistic distributed algorithms with VHDL simulation. Optimistic simulation algorithms have been shown to deliver the highest performance of the currently available simulation strategies. It is however a difficult algorithm to implement, especially for VHDL which has all the characteristics of a high level programming language. With our simulation environment, ADVISE, we obtain speedups of around four for a medium-sized benchmark. The amount of speedup depends on the type of multiprocessor architecture used, partitioning algorithm, and optimizations. Further optimization of the simulation and partitioning algorithms within ADVISE, the use of more advanced compilation strategies, and larger benchmarks should lead to higher speedups, which makes it worthwhile to investigate this approach further.
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