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A microdriver architecture for error correcting codes inside the Linux kernel

机译:一种用于在Linux内核中纠错代码的微驱动程序体系结构

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摘要

Coding tasks, such as encryption of data or the generation of failure-tolerant codes, belong to the most computationaly expensive tasks inside the Linux kernel. Their integration into the kernel enables the user to transparently access these functionalities, encrypted hard disks can be used in the same way as unencrypted ones. Nevertheless, Linux as a monolithic kernel is not prepared to support these expensive tasks by accessing modern hardware accelerators, like graphics processing units (GPUs), as the corresponding accelerator libraries, like the CUDA-API for NVIDIA GPUs, only offer user-space APIs. Linux is often used in conjunction with parallel file systems in high performance cluster environments and the tremendous storage growth in these environments leads to the requirement of multi-error correcting codes. Parallel file systems, which often run on a storage cluster, are required to store the calculated results without huge waiting times. Whereas the frontend of such a storage cluster can be build with standard PCs, it is in contrast nearly impossible to build a capable RAID backend with end user hardware up to now.
机译:诸如数据加密或生成容错代码之类的编码任务属于Linux内核中计算最昂贵的任务。它们集成到内核中,使用户能够透明地访问这些功能,加密硬盘的使用方式与未加密硬盘相同。但是,作为整体内核的Linux无法通过访问现代硬件加速器(例如图形处理单元(GPU))来支持这些昂贵的任务,因为相应的加速器库(例如用于NVIDIA GPU的CUDA-API)仅提供用户空间API 。在高性能群集环境中,Linux通常与并行文件系统结合使用,这些环境中的巨大存储增长导致需要多错误校正代码。通常需要在存储集群上运行的并行文件系统来存储计算结果,而无需等待大量时间。尽管可以使用标准PC来构建这种存储集群的前端,但是迄今为止,几乎不可能用最终用户硬件来构建功能强大的RAID后端。

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