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RTL Test Generation on Multi-core and Many-Core Architectures

机译:多核和多核架构上的RTL测试生成

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Design Verification of complex circuits has become an increasingly time-consuming process. The advent of parallel computing using General Purpose Graphics Processing Units (GPGPUs) has led to enhanced performance for various applications. We propose to leverage both the multi-core CPU and the GPGPU for RTL test generation. This is achieved by implementing a test generation framework that can utilize the SIMD type parallelism available in GPGPUs and task level parallelism available on CPUs. Not all applications can be made parallel due to complex dependencies, making parallelism non-trivial. Besides, large memory bandwidth requirements can become a bottleneck hindering potential speedups. In this paper, we have ported an RTL branch coverage based test generation framework to work within the constraints of a GPGPU environment. Experimental results show that considerable speedup can be achieved for test generation without loss of coverage.
机译:复杂电路的设计验证已成为越来越耗时的过程。使用通用图形处理单元(GPGPU)并行计算的出现导致各种应用的性能增强。我们建议利用多核CPU和GPGPU进行RTL测试生成。这是通过实现测试生成框架来实现的实现,该框架可以利用GPGPU中可用的SIMD型并行性和CPU上可用的任务级并行性。并非所有应用程序都可以由于复杂的依赖性而平行,使并行性非微不足道。此外,大的内存带宽要求可能成为阻碍电位加速的瓶颈。在本文中,我们已将基于RTL分支覆盖范围的测试生成框架移植到GPGPU环境的约束范围内。实验结果表明,在没有覆盖损失的情况下,可以实现相当大的加速。

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