Case Study: GPU-based Implementation of Sequence Pair Based Floorplanning Using CUDA

被引：0

作者：

Choi, Won Ha ^{[1
]}

Liu, Xun ^{[1
]}

机构：

[1] N Carolina State Univ, Dept Elect & Comp Engn, Raleigh, NC 27695 USA

来源：

2010 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS | 2010年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we demonstrate that runtime of VLSI Computer-aided design (CAD) applications can be successfully reduced with parallel programming in conjunction with Graphic Processing Units (GPUs). Particularly, we apply GPU-based computing to the sequence pair based floorplanning algorithm. In addition to reducing runtime, we focus on the minimization of changes in code structure in order to reduce programming efforts. With less than 16 percent of the original program modified, the runtime of the floorplanning algorithm shows an average speedup of 13.5 without performance degradation.

引用

页码：917 / 920

页数：4

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