扩展OpenSHMEM内存模型以支持用户定义的空间

A. Welch, S. Pophale, Pavel Shamis, Oscar R. Hernandez, S. Poole, B. Chapman
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引用次数: 15

摘要

OpenSHMEM是SHMEM库的开放标准。随着标准化过程的完成,社区正在寻求扩展API,以增加程序员的灵活性和极大的可伸缩性。根据当前的OpenSHMEM规范(修订版1.1),对称内存的分配在执行应用程序的所有pe之间集中进行。为了更好地共享工作和利用内存,我们为OpenSHMEM提出了团队和空间的概念,它们一起只允许在用户指定的团队之间分配内存。通过我们的实现,我们表明,通过使用团队,我们可以将内存分配和使用限制为仅通过对称内存进行通信的pe。我们提供了初步结果,证明为团队创建空间比当前的替代方案消耗更少的内存资源。我们还研究了扩展对可伸缩合成紧凑应用程序#3 (SSCA3)的影响,SSCA3是一个涉及文件I/O的传感器处理和知识形成内核,并表明可以在不影响基准测试正确性的情况下消除多达30%的对称内存分配。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extending the OpenSHMEM Memory Model to Support User-Defined Spaces
OpenSHMEM is an open standard for SHMEM libraries. With the standardisation process complete, the community is looking towards extending the API for increasing programmer flexibility and extreme scalability. According to the current OpenSHMEM specification (revision 1.1), allocation of symmetric memory is collective across all PEs executing the application. For better work sharing and memory utilisation, we are proposing the concepts of teams and spaces for OpenSHMEM that together allow allocation of memory only across user-specified teams. Through our implementation we show that by using teams we can confine memory allocation and usage to only the PEs that actually communicate via symmetric memory. We provide our preliminary results that demonstrate creating spaces for teams allows for less consumption of memory resources than the current alternative. We also examine the impact of our extensions on Scalable Synthetic Compact Applications #3 (SSCA3), which is a sensor processing and knowledge formation kernel involving file I/O, and show that up to 30% of symmetric memory allocation can be eliminated without affecting the correctness of the benchmark.
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