GSA:A New GPU-accelerated Structure Similarity Algorithm and Its Application in Progressive virtual

• 作 者: XinYan[1]QiongGu[1]FengLu[1]JiaboLi[2]JunXu[1]
• 机 构: School of Pharmaceutical Sciences & Institute of Human Virology, Sun Yat-sen University, 132 East Ci
• 出 处: 中国化学会第28届学术年会
• 发表日期: 2012年期

　　A new algorithm is proposed for accelerating chemical structure similarity search by using graphicprocessing units (GPU) technology.Experiments demonstrate that the new algorithm is averagely more than170-times faster than the one implemented in conventional central processing units (CPU) technology.