The development of Mellanox/NVIDIA GPUDirect over InfiniBand: a new model for GPU to GPU communications

G. Shainer, Pak Lui, Tong Liu
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引用次数: 6

Abstract

The usage and adoption of General Purpose GPUs (GPGPU) in HPC systems is increasing due to the unparalleled performance advantage of the GPUs and the ability to fulfill the ever-increasing demands for floating points operations. While the GPU can offload many of the application parallel computations, the system architecture of a GPU-CPU-InfiniBand server does require the CPU to initiate and manage memory transfers between remote GPUs via the high speed InfiniBand network. In this paper we introduce for the first time a new innovative technology - GPUDirect that enables Tesla GPUs to transfer data via InfiniBand without the involvement of the CPU or buffer copies, hence dramatically reducing the GPU communication time and increasing overall system performance and efficiency. We also explore for the first time the performance benefits of GPUDirect using Amber and LAMMPS applications.
基于InfiniBand的Mellanox/NVIDIA GPUDirect的开发:GPU到GPU通信的新模型
由于gpu无可比拟的性能优势以及能够满足不断增长的浮点运算需求,通用gpu (General Purpose gpu, GPGPU)在高性能计算系统中的使用和采用正在增加。虽然GPU可以卸载许多应用程序并行计算,但GPU-CPU-InfiniBand服务器的系统架构确实需要CPU通过高速InfiniBand网络发起和管理远程GPU之间的内存传输。在本文中,我们首次介绍了一项新的创新技术- GPUDirect,该技术使Tesla GPU能够通过InfiniBand传输数据,而无需CPU或缓冲区副本的参与,从而大大缩短了GPU的通信时间,提高了整体系统的性能和效率。我们还首次探索了使用Amber和LAMMPS应用程序的GPUDirect的性能优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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