{"title":"峰值功率密度最小的快速最优电压分配算法","authors":"Jia Wang, Shiyan Hu","doi":"10.5555/2133429.2133473","DOIUrl":null,"url":null,"abstract":"Increasing transistor density in nanometer integrated circuits has resulted in large on-chip power density. As a high-level power optimization technique, voltage partitioning is effective in mitigating power density. Previous works on voltage partitioning attempt to address it through minimizing total power consumption over all voltage partitions. Since power density significantly impacts thermal-induced reliability, it is also desired to directly mitigate peak power density during voltage partitioning. Unfortunately, none of the existing works consider this. This paper proposes an efficient optimal voltage partitioning algorithm for peak power density minimization. Based on novel algorithmic techniques such as implicit power density binary search, the algorithm runs in O(n log n + m2 log2 n) time, where n refers to the number of functional units and m refers to the number of partitions/voltage levels. Our experimental results on large testcases demonstrate that large amount of (about 9.7×) reduction in peak power density can be achieved compared to a natural greedy algorithm, while the algorithm still runs very fast. It needs only 14.15 seconds to optimize 1M functional units.","PeriodicalId":344703,"journal":{"name":"2010 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The fast optimal voltage partitioning algorithm for peak power density minimization\",\"authors\":\"Jia Wang, Shiyan Hu\",\"doi\":\"10.5555/2133429.2133473\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Increasing transistor density in nanometer integrated circuits has resulted in large on-chip power density. As a high-level power optimization technique, voltage partitioning is effective in mitigating power density. Previous works on voltage partitioning attempt to address it through minimizing total power consumption over all voltage partitions. Since power density significantly impacts thermal-induced reliability, it is also desired to directly mitigate peak power density during voltage partitioning. Unfortunately, none of the existing works consider this. This paper proposes an efficient optimal voltage partitioning algorithm for peak power density minimization. Based on novel algorithmic techniques such as implicit power density binary search, the algorithm runs in O(n log n + m2 log2 n) time, where n refers to the number of functional units and m refers to the number of partitions/voltage levels. Our experimental results on large testcases demonstrate that large amount of (about 9.7×) reduction in peak power density can be achieved compared to a natural greedy algorithm, while the algorithm still runs very fast. It needs only 14.15 seconds to optimize 1M functional units.\",\"PeriodicalId\":344703,\"journal\":{\"name\":\"2010 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5555/2133429.2133473\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5555/2133429.2133473","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
纳米集成电路中晶体管密度的增加导致了片上功率密度的增大。电压划分作为一种高层次的功率优化技术,可以有效地降低功率密度。以前关于电压分区的工作试图通过最小化所有电压分区的总功耗来解决这个问题。由于功率密度显著影响热致可靠性,因此也希望在电压分配期间直接降低峰值功率密度。不幸的是,现有的作品都没有考虑到这一点。本文提出了一种有效的峰值功率密度最小的最优电压分配算法。基于隐式功率密度二分搜索等新颖算法技术,该算法运行时间为O(n log n + m2 log2 n),其中n表示功能单元的数量,m表示分区/电压级别的数量。我们在大型测试用例上的实验结果表明,与自然贪婪算法相比,可以实现大量(约9.7倍)的峰值功率密度降低,而算法仍然运行得很快。优化1M个功能单元只需要14.15秒。
The fast optimal voltage partitioning algorithm for peak power density minimization
Increasing transistor density in nanometer integrated circuits has resulted in large on-chip power density. As a high-level power optimization technique, voltage partitioning is effective in mitigating power density. Previous works on voltage partitioning attempt to address it through minimizing total power consumption over all voltage partitions. Since power density significantly impacts thermal-induced reliability, it is also desired to directly mitigate peak power density during voltage partitioning. Unfortunately, none of the existing works consider this. This paper proposes an efficient optimal voltage partitioning algorithm for peak power density minimization. Based on novel algorithmic techniques such as implicit power density binary search, the algorithm runs in O(n log n + m2 log2 n) time, where n refers to the number of functional units and m refers to the number of partitions/voltage levels. Our experimental results on large testcases demonstrate that large amount of (about 9.7×) reduction in peak power density can be achieved compared to a natural greedy algorithm, while the algorithm still runs very fast. It needs only 14.15 seconds to optimize 1M functional units.