# Changeset 1350 for docs/HPCA2012/00-abstract.tex

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Timestamp:
Aug 23, 2011, 11:42:04 AM (8 years ago)
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New conclusion

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 r1349 In modern applications text files are employed widely. For example, XML files provide data storage in human readable format and are widely used in web services, database systems, and mobile phone SDKs. Traditional text processing tools are built around a byte-at-a-time processing model where each character token of a document is examined. The byte-at-a-time model is highly challenging for commodity processors. It includes many unpredictable input-dependent branches which cause pipeline squashes and stalls. Furthermore, typical text processing tools perform few operations per processed character and experience high cache miss rates when parsing the file. Overall, parsing text in important domains like XML processing requires high performance motivating hardware designers to adopt customized hardware and ASIC solutions. used in applications ranging from database systems to mobile phone SDKs.  Traditional text processing tools are built around a byte-at-a-time processing model where each character token of a document is examined. The byte-at-a-time model is highly challenging for commodity processors. It includes many unpredictable input-dependent branches which cause pipeline squashes and stalls. Furthermore, typical text processing tools perform few operations per processed character and experience high cache miss rates. Overall, parsing text in important domains like XML processing requires high performance motivating hardware designers to adopt ASIC solutions. % In this paper on commodity. In this paper, we enable text processing applications to effectively use commodity processors. We introduce Parabix (Parallel Bitstream) technology, a software runtime and execution model that allows applications to exploit modern SIMD instructions extensions for high performance text processing. Parabix enables the application developer to write constructs assuming unlimited SIMD data parallelism. Our runtime translator generates code based on machine specifics (e.g., SIMD register widths) to realize the programmer specifications.  The key insight into efficient text processing in Parabix is the data organization. It transposes the sequence of 8-bit characters into sets of 8 parallel bit streams which then enables us to operate on multiple characters with single bit-parallel SIMD operators. We demonstrate the features and efficiency of parabix with a XML parsing application. We evaluate a Parabix-based XML parser against two widely used XML parsers, Expat and Apache's Xerces, and across three generations of x86 processors, including the new Intel \SB{}.  We show that Parabix's speedup is 2$\times$--7$\times$ over Expat and Xerces. We observe that Parabix overall makes efficient use of intra-core parallel hardware on commodity processors and supports significant gains in energy. Using Parabix, we assess the scalability advantages of SIMD processor improvements across Intel processor generations, culminating with a look at the latex 256-bit AVX technology in \SB{} versus the now legacy 128-bit SSE technology. As part of this study we also preview the Neon extensions on ARM processors. Finally, we partition the XML program into pipeline stages and demonstrate that thread-level parallelism exploits SIMD units scattered across the different cores and improves performance (2$\times$ on 4 cores) at same energy levels as the single-thread version. technology, a software runtime and execution model that allows applications to exploit modern SIMD instructions extensions for high performance text processing. Parabix enables the application developer to write constructs assuming unlimited SIMD data parallelism and Parabix's runtime translator generates code based on machine specifics (e.g., SIMD register widths).  The key insight into efficient text processing in Parabix is the data organization. Parabix transposes the sequence of character bytes into sets of 8 parallel bit streams which then enables us to operate on multiple characters with single bit-parallel SIMD operators. We demonstrate the features and efficiency of parabix with a XML parsing application. We evaluate a Parabix-based XML parser against two widely used XML parsers, Expat and Apache's Xerces, and across three generations of x86 processors, including the new Intel \SB{}.  We show that Parabix's speedup is 2$\times$--7$\times$ over Expat and Xerces. We observe that Parabix overall makes efficient use of intra-core parallel hardware on commodity processors and supports significant gains in energy. Using Parabix, we assess the scalability advantages of SIMD processor improvements across Intel processor generations, culminating with a look at the latex 256-bit AVX technology in \SB{} versus the now legacy 128-bit SSE technology. Finally, we partition the XML program into pipeline stages and demonstrate that thread-level parallelism exploits SIMD units scattered across the different cores and improves performance (2$\times$ on 4 cores) at same energy levels as the single-thread version.