论文标题
基于ARM的平台上的震准执行模型的绩效评估
Performance Evaluation of ParalleX Execution model on Arm-based Platforms
论文作者
论文摘要
HPC社区对在CPU生态系统中创造多样性表现出浓厚的兴趣。基于ARM的处理器的出现为现有的HPC生态系统提供了替代方案，该系统主要由X86处理器主导。在本文中，我们将基于偏执模型（即高性能parllex（HPX））的异步多任务运行时系统移植，并在ARM生态系统上以基准测试进行评估。我们编写了这些基准，重点是矢量化和分布式缩放。我们在各种ARM处理器上介绍了性能结果，并将其与来自英特尔的X86弟兄进行了比较。我们表明，所获得的结果比他们的X86弟兄同样好或更好。最后，我们还讨论了当前ARM生态系统的一些缺点。
The HPC community shows a keen interest in creating diversity in the CPU ecosystem. The advent of Arm-based processors provides an alternative to the existing HPC ecosystem, which is primarily dominated by x86 processors. In this paper, we port an Asynchronous Many-Task runtime system based on the ParalleX model, i.e., High Performance ParalleX (HPX), and evaluate it on the Arm ecosystem with a suite of benchmarks. We wrote these benchmarks with an emphasis on vectorization and distributed scaling. We present the performance results on a variety of Arm processors and compare it with their x86 brethren from Intel. We show that the results obtained are equally good or better than their x86 brethren. Finally, we also discuss a few drawbacks of the present Arm ecosystem.
