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Parallel processing of data having data dependencies for accelerating the launch and performance of operating systems and other computing applications

机译:具有数据依赖性的数据的并行处理,用于加速操作系统的发射和性能和其他计算应用程序

摘要

Representative embodiments are disclosed for a rapid and highly parallel decompression of compressed executable and other files, such as executable files for operating systems and applications, having compressed blocks including run length encoded (“RLE”) data having data-dependent references. An exemplary embodiment includes a plurality of processors or processor cores to identify a start or end of each compressed block; to partially decompress, in parallel, a selected compressed block into independent data, dependent (RLE) data, and linked dependent (RLE) data; to sequence the independent data, dependent (RLE) data, and linked dependent (RLE) data from a plurality of partial decompressions of a plurality of compressed blocks, to obtain data specified by the dependent (RLE) data and linked dependent (RLE) data, and to insert the obtained data into a corresponding location in an uncompressed file. The representative embodiments are also applicable to other types of data processing for applications having data dependencies.
机译:公开了用于快速且高度平行的压缩的可执行的可执行文件和其他文件的提缩,例如用于操作系统和应用的可执行文件,具有包括具有数据相关参考的运行长度编码(“RLE”)数据的压缩块。示例性实施例包括多个处理器或处理器核心以识别每个压缩块的开始或结束;要将所选压缩块并行地解压缩到独立数据,依赖(RLE)数据和链接相关(RLE)数据;从多个压缩块的多个部分解压缩序列序列独立数据,相关(RLE)数据和链接相关(RLE)数据,以获取由所依赖(RLE)数据指定的数据和链接的依赖(RLE)数据,并将所获得的数据插入未压缩文件中的相应位置。代表性实施例也适用于具有数据依赖性的应用的其他类型的数据处理。

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