# Changeset 1774 for docs/HPCA2012/final_ieee/00-abstract.tex

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Timestamp:
Dec 13, 2011, 4:50:42 PM (8 years ago)
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minor changes

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 r1752 Modern applications employ text files widely for providing data storage in readable format for applications ranging from database storage in a readable format for applications ranging from database systems to mobile phones. Traditional text processing tools are built around a byte-at-a-time sequential processing model, and introduce around a byte-at-a-time sequential processing model that introduces significant branch and cache miss penalties.  Recent work has explored an alternative, transposed representation of text, Parabix (Parallel Bit Streams), to accelerate scanning and parsing using SIMD facilities. This paper further advocates and develops Parabix as a general framework This paper advocates and develops Parabix as a general framework and toolkit, describing the software toolchain and run-time support that allows applications to exploit modern SIMD instructions for high Parabix exploits intra-core SIMD hardware and demonstrates 2$\times$--7$\times$ speedup and 4$\times$ improvement in energy efficiency compared to two widely used conventional software parsers, efficiency when compared with two widely used conventional software parsers, Expat and Apache-Xerces. SIMD implementations across three generations of x86 processors are studied including the new \SB{}. The 256-bit AVX technology in Intel \SB{} is compared with the well-established 128-bit well established 128-bit SSE technology to analyze the benefits and challenges of 3-operand instruction formats and wider SIMD hardware.  Finally, that thread-level parallelism enables the application to exploit SIMD units scattered across the different cores, achieving improved performance (2$\times$ on 4 cores) at same energy levels as the single-thread version for the XML application. cores) while maintaining single-threaded energy levels.