More Efficient Accuracy-Ensured Waveform Compression for Circuit Simulation Supporting Asynchronous Waveforms

Lingjie Li, Wenjian Yu, Genhua Guo, Zhenya Zhou

Abstract: Efficient and accurate waveform compression is critical for analog circuit simulation. In this work, we propose a waveform compression scheme which supports asynchronous waveforms, while improving the compression ratio (CR) and reducing memory usage based on the techniques of multi-model prediction, residual quantization and random-accessible secondary compression. Experimental results show that the proposed method can achieve up to 7.90X and 35.29X CR for industrial synchronous waveforms and asynchronous waveforms respectively, while keeping absolute error within 10-6 and relative error within 10-3. In comparison with existing work that only supports synchronous waveforms, the CR is improved by 1.23X and the memory usage is reduced by 8.4X on average.