Performance analysis of vector dot product on GPU

Computer Engineering and Applications ›› 2012, Vol. 48 ›› Issue (2): 201-202.

• 图形、图像、模式识别 • Previous Articles Next Articles

Performance analysis of vector dot product on GPU

GUO Lei, LIU Jinfeng

School of Automation，Northwestern Polytechnical University, Xi’an 710129, China

Received:1900-01-01 Revised:1900-01-01 Online:2012-01-11 Published:2012-01-11

GPU上实现的向量点积的性能分析

郭雷，刘进锋

西北工业大学自动化学院，西安 710129

Abstract

Abstract: CUDA is a convenient use of GPU for general computing. This paper researches several vector dot product algorithms based on CUDA, comparison and analysis of their performances and causes. Experiment shows that the best algorithm is faster than the CPU algorithm for about 7 times.

Key words: Compute Unified Device Architecture（CUDA）, Graphic Processing Unit（GPU）, vector dot product

摘要： CUDA是一种较为简便的利用GPU进行通用计算的技术。研究了GPU上基于CUDA的几种向量点积算法，比较、分析了每种算法的性能。实验表明，GPU上最快的算法比CPU上的算法快了约7倍。

关键词: 统一设备计算架构（CUDA）, 图形处理器（GPU）, 向量点积

GUO Lei, LIU Jinfeng. Performance analysis of vector dot product on GPU[J]. Computer Engineering and Applications, 2012, 48(2): 201-202.

郭雷，刘进锋. GPU上实现的向量点积的性能分析[J]. 计算机工程与应用, 2012, 48(2): 201-202.

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Performance analysis of vector dot product on GPU

GPU上实现的向量点积的性能分析

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