Research of Architecture of CPU + Multi-GPU Heterogeneous Collaborative Computing

LI Long-fei; HE Zhan-zhuang; XU Dan-ni

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Research of Architecture of CPU + Multi-GPU Heterogeneous Collaborative Computing

更新时间：2026-09-04

- Research of Architecture of CPU + Multi-GPU Heterogeneous Collaborative Computing
- Vol. 31, Issue 3, Pages: 98-101(2014)
- 作者机构：
  
  西安微电子技术研究所,陕西,西安,710054
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2014
- 稿件说明：
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李龙飞, 贺占庄, 徐丹妮. CPU+多GPU异构协同计算的体系结构研究[J]. 微电子学与计算机, 2014, 31(3): 98-101.

LI Long-fei, HE Zhan-zhuang, XU Dan-ni. Research of Architecture of CPU + Multi-GPU Heterogeneous Collaborative Computing[J]. 2014, 31(3): 98-101.
李龙飞, 贺占庄, 徐丹妮. CPU+多GPU异构协同计算的体系结构研究[J]. 微电子学与计算机, 2014, 31(3): 98-101. DOI：

LI Long-fei, HE Zhan-zhuang, XU Dan-ni. Research of Architecture of CPU + Multi-GPU Heterogeneous Collaborative Computing[J]. 2014, 31(3): 98-101. DOI：

摘要

以CUDA架构为例，对传统的CPU+单GPU架构进行了分析，提出了一种CPU+多GPU异构协同计算的系统方案，对关键的CPU对多GPU的管理及多GPU间数据通信等问题做了重点讨论，从理论上进行了可行性分析，并提出了相应的优化方法.

Abstract

In this paper

we analyzed the traditional CPU+single GPU architecture

and put forward a CPU+multi-GPU heterogeneous collaborative computing system.We focused on the CPU management for multi-GPU and data communication between multi-GPU

then theoretically analyzed the feasibility

finally gave the corresponding optimization methods.

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