ITFComp: a compression algorithm for ARM architecture instruction trace files

Mohammad Qasem, Lukas Pustina
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Abstract

Testing the performance of a new computational component is costly due to the need of prototyping different setups. Therefore, trace driven hardware simulations are used. Instruction Trace Files (ITFs) are files containing traces of executed instructions in a program's run and are used as an input for hardware simulations. ITFs tend to be large in size, causing a storage challenge. Many trace reduction techniques exist to deal with the ITFs' storage challenge. In this paper we introduce ITFComp, a compression algorithm that combines general purpose compression methods with knowledge about ARM architecture ITFs' structure to reduce their size. ITFComp also works on compressing data memory addresses accessed by instructions within ITFs to further reduce an ITF size. Results show a reduction of 600 times on average when combined with LZMA compression algorithm. This reduction is 4 times better than when using LZMA alone, and 10 times better than when using DEFLATE. ITFComp introduces a negligible overhead in the decompression time (less than 1%).
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ITFComp: ARM架构指令跟踪文件的压缩算法
测试一个新的计算组件的性能是昂贵的,因为需要原型不同的设置。因此,使用跟踪驱动的硬件模拟。指令跟踪文件(itf)是包含程序运行中执行指令的跟踪的文件,用作硬件模拟的输入。itf的大小往往很大,这对存储造成了挑战。存在许多减少痕量的技术来处理itf的存储挑战。在本文中,我们介绍了ITFComp,一种将通用压缩方法与ARM架构itf结构知识相结合以减小其大小的压缩算法。ITFComp还致力于压缩ITF内指令访问的数据内存地址,以进一步减小ITF的大小。结果表明,与LZMA压缩算法相结合,平均降低了600倍。这种减少比单独使用LZMA好4倍,比使用DEFLATE好10倍。ITFComp在解压缩时间中引入的开销可以忽略不计(小于1%)。
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