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在基于GPU加速臂的HPC测试台上进行应用体验
Wael Elwasif1, William Godoy1, Nick Hagerty1
1Oak Ridge National Laboratory, USA.
概括
十个团队成功地将高性能计算 (HPC) 应用程序移植到新的Arm GPU测试台. 这项研究证实了基于Arm的系统.
科学领域:
- 高性能计算 (HPC) 是一种高性能计算.
- 在 GPU 加速加速.
- 臂架构的架构手臂架构.
背景情况:
- 新型GPU加速臂测试台系统正在为HPC出现.
- 评估这些系统需要对科学应用进行移植,验证和基准测试.
研究的目的:
- 评估基于Arm的GPU系统对HPC的准备情况.
- 评估开发人员在这些平台上部署科学工作负载的努力.
主要方法:
- 十个团队移植,验证和对比HPC应用程序.
- 应用程序使用各种编程语言和GPU模型 (CUDA,OpenACC,OpenMP卸载).
- 在一个八个系统的NVIDIA Arm HPC开发者套件测试台上进行了测试,配备了Ampere CPU和NVIDIA GPU,通过InfiniBand连接.
主要成果:
- 基于Arm的GPU测试台证明了对HPC工作负载的准备.
- 软件和工具已经足够成熟,可以进行大规模的生产部署.
- 案例研究证实了Arm生态系统对科学计算的可行性.
结论:
- 基于ARM的GPU加速的HPC系统是可行的生产.
- 目前的软件和工具链成熟度支持广泛采用.
- 基于Arm架构的未来HPC系统是有希望的.
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