Toward EDA Computing on GPUs

摘要：

The complexity of VLSI is still fast increasing due to the pursuit for higher performance as well as the aggressive scaling of semiconductor processes. Electronic Design Automation (EDA) software, therefore, has to deliver escalating computing throughput so that IC design turnaround time can be kept under a reasonable level. Parallelizing will be the only way to unleash the computing power of modern multi-core platforms for accelerated EDA computing. General purpose computing on Graphic Processing Units (GPUs) has recently emerged as an important trend in today’s high performance computing. In this paper, we explore the potential of applying EDA computing on GPUs. Specifically, we identify key EDA computing patterns that need to be parallelized and then propose potential solutions using GPUs.

作者: Yangdong (Steve) Deng Shuai Mu Zhihua Wang

作者单位: Institute of Microelectronics, Tsinghua University, Beijing, China

会议类型: 国际会议

会议名称: 2009国际通信电路与系统学术会议(ICCCAS 2009)(2009 International Conference on Communications，Circuits and Systems)

会议地点: 成都

会议语种:英文

页码: 1119-1123

在线出版日期: 2009-07-23（万方平台首次上网日期，不代表论文的发表时间）