新闻动态

       中心兼职教授、美国加州大学圣塔芭芭拉分校教授谢源课题组论文“Spendthrift: Machine Learning Based Resource and Frequency Scaling for Ambient Energy Harvesting Nonvolatile Processors”获第二十二届亚洲及南太平洋电子设计自动化会议（22nd Asia and South Pacific Design Automation Conference, ASP-DAC'17）最佳论文奖，祝贺！

       论文题目：Spendthrift: Machine Learning Based Resource and Frequency Scaling for Ambient Energy Harvesting Nonvolatile Processors
       作者：Kaisheng Ma, Xueqing Li, Srivatsa Rangachar Srinivasa, Yongpan Liu, John (Jack) Sampson, Yuan Xie, and Vijaykrishnan Narayanan

      关于ASP-DAC'17：ASP-DAC 2017 is the twenty-second annual international conference on VLSI design automation in Asia and South Pacific region, one of the most active regions of design and fabrication of silicon chips in the world. The conference aims at providing the Asian and South Pacific CAD/DA and Design community with opportunities of presenting recent advances and with forums for future directions in technologies related to Electronic Design Automation (EDA). ASP-DAC intends to cultivate and promote interactions and presentations of novel ideas among EDA researchers/developers and system/circuit/device-level designers. All scientists, engineers, and students who are interested in theoretical and practical aspects of VLSI design and design automation are welcomed to ASP-DAC.

       会议网站：www.aspdac.com/aspdac2017/