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GPU通用计算及其在计算智能领域的应用

丁科 谭营

智能系统学报Issue(1):1-11,11.
智能系统学报Issue(1):1-11,11.DOI:10.3969/j.issn.1673-4785.201403072

GPU通用计算及其在计算智能领域的应用

A review on general purpose computing on GPUs and its applications in computational intelligence

丁科 1谭营2

作者信息

  • 1. 北京大学机器感知与智能教育部重点实验室,北京100871
  • 2. 北京大学信息科学技术学院,北京100871
  • 折叠

摘要

Abstract

The GPU enjoys the characteristics of high parallelism , low energy consumption and cheap price .Com-pared with the traditional CPU platform , it is especially suitable for tasks with high data parallelism .GPU compu-ting has come into the mainstream of high performance computation ( HPC) due to the emerging of development platforms like CUDA and OpenCL .The GPU's enormous computational power greatly promotes computational intel-ligence .A great success has been achieved in the fields such as deep learning and swarm intelligence optimization , and several breakthroughs have been seen in image , and speech recognition because of GPU .Though suffering some drawbacks, GPUs provide common people and small institutions with enormous computing power .This has changed the set-up of scientific computing and programming model because it could only be provided by expensive super -computers.To help researchers in the field of computational intelligence better utilize GPUs , a detailed survey of GPGPU is given in this paper. First, the characteristics and advantages of GPUs against CPUs are presented .Then we briefly review the development of GPU hardware followed by a survey of the evolution of development tools for GPGPU;special attention is drawn to two major platforms , CUDA and OpenCL .We end this paper with our per-spectives of the challenges and trends of GPGPU .We point out that embedding and cluster are two major trends for GPGPU and as both academia and industry continue to see increasing progress in artificial intelligence , the GPU will be more widely used in more domains .

关键词

计算智能/群体智能/演化算法/机器学习/深度学习/图形处理器/GPU通用计算/异构计算/高性能计算

Key words

computational intelligence/swarm intelligence/evolutionary algorithms/machine learning/deep learn-ing/graphics processing unit(GPU)/general purpose computing on GPUs/heterogonous computing/high per-formance computing (HPC)

分类

信息技术与安全科学

引用本文复制引用

丁科,谭营..GPU通用计算及其在计算智能领域的应用[J].智能系统学报,2015,(1):1-11,11.

基金项目

国家自然科学基金资助项目(61375119,61170057,60875080). ()

智能系统学报

OA北大核心CSCDCSTPCD

1673-4785

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