使用SIMD单元为大数据启用操作系统内核

S. Saito, S. Oikawa
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引用次数: 0

摘要

如今,嵌入式系统处理的数据比以往任何时候都要大。可以预见,嵌入式系统处理的数据量将会增加。通常情况下,这些复杂的需求是通过采用OS(操作系统)内核来实现的。提高操作系统内核的数据处理性能对许多嵌入式解决方案都具有重要意义。为了实现这种改进,我们专注于SIMD(单指令多数据)单元。SIMD单元的利用使系统能够有效地处理大数据。许多处理器都包含一个SIMD单元,用于节能处理。许多嵌入式产品都包含包括SIMD单元在内的微处理器。通常操作系统内核会放弃使用SIMD单元,但是在某些地方SIMD单元可以有效地工作。在操作系统内核中使用SIMD单元有可能提高数据处理的性能。本文描述了探索在内核中使用SIMD单元的可能性的实验。我们通过使用UML(用户模式Linux)来执行实验,并通过使用SIMD单元来提高其性能。本文表明SIMD单元可以提高OS (Operating System)内核的数据复制性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enabling an OS kernel for large data with a SIMD Unit
Nowadays, embedded systems treats larger data than ever before. It can be expected that the size of data treated by embedded systems will be increased. In ordinary case, these complicated requirements are achieved with adopting OS(operating system) kernel to systems. To improve the performance of OS kernel's data processing is meaningful for many embedded solutions. To achieve this improvement, we focused on a SIMD(Single Instruction Multiple Data) unit. Utilization of SIMD unit enables systems to treats large data effectively. Many processors include a SIMD unit for power-efficient processing. Many embedded products includes microprocessors including SIMD unit. Usually the OS kernel abandons using of a SIMD unit, but there are places where a SIMD unit works effectively. There are possibilities that improve performance of data processing with a SIMD unit in the OS kernel. This paper describes experiments to explore the possibilities to utilize a SIMD unit in the kernel. We performed experiments by using UML (User Mode Linux) and increased its performance with utilizing a SIMD unit. This paper shows that a SIMD unit can improve the OS (Operating System) kernel's data copying performance.
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