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An Efficient Power Model for IP-Level Complex Designs

机译:IP级复杂设计的有效功率模型

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摘要

In this paper, we propose an efficient IP-Level power model with a small lookup table for complex CMOS circuits. The table has only one dimension that maps the zero-delay charging and discharging capacitance (CDC) into the real power consumption of pattern pairs but still has high accuracy. In order to reduce the table size, we collect those pattern pairs with similar CDC values to be a group and only set an entry in the lookup table for each group. The proposed dynamic grouping process can automatically increase the entries of the lookup tables to cover the current CDC distribution of designs during the power characterization process. In order to improve the efficiency of characterization process, the Monte Carlo approach is used during the estimation for the average power of each group to skip the samples that will not increase the accuracy too much. After the power model of a circuit is built, the average power consumption for any test sequence can be estimated easily. The experimental result shows that the table sizes are only up to 107 entries for ISCAS'85 benchmark circuits and the estimation error is only 2.99% on average using this lookup table.
机译:在本文中,我们为复杂的CMOS电路提出了一个有效的IP级功率模型,并带有一个小的查找表。该表只有一个维度,可以将零延迟充放电电容(CDC)映射到图案对的实际功耗中,但仍具有很高的精度。为了减小表的大小,我们将具有相似CDC值的那些模式对收集为一个组,并仅在每个组的查找表中设置一个条目。拟议的动态分组过程可以自动增加查找表的条目,以覆盖功率表征过程中设计的当前CDC分布。为了提高表征过程的效率,在估计每个组的平均功率时使用了蒙特卡罗方法来跳过样本,这不会增加太多的准确性。建立电路的功率模型后,可以轻松估算任何测试序列的平均功耗。实验结果表明,使用该查找表,对于ISCAS'85基准电路,表的大小最多为107个条目,估计误差平均仅为2.99%。

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