Showing 4 open source projects for "data processing"

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    LoopVectorization.jl

    LoopVectorization.jl

    Macro(s) for vectorizing loops

    LoopVectorization.jl is a Julia package for accelerating numerical loops by automatically applying SIMD (Single Instruction, Multiple Data) vectorization and other low-level optimizations. It analyzes loops and generates highly efficient code that leverages CPU vector instructions, making it ideal for performance-critical computing in fields such as scientific computing, signal processing, and machine learning.
    Downloads: 9 This Week
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  • 2

    Advance-PCT-1.0

    A novel Code transformation technique to guide test input generator

    Advance_PCT is a pre-processing technique, that simplifies the complex boolean expression present in a C program. It identifies the boolean expression and creates equivalent conditional branches with an empty body. These additional statements along with original program supplied into test executor to improve test data. It ensures that each atomic conditions have been invoked at least once true and once false.
    Downloads: 0 This Week
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  • 3

    LogDruid

    Generate charts and reports using data gathered in log files

    An application to gather, aggregate, chart and report information originating from any log files. It uses regular expressions that are constructed graphically and can be tested in the application against samples. Once configured for a specific type of log file set, the gathering and display of the chart for a new files set can be done in just one click. Contains a sample template to handle few log types: Java GC log, OpenDS access log, Apache access log
    Downloads: 0 This Week
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  • 4

    Java/C Comparative Benchmarks

    Java and C Comparative Performance Benchmarks

    ...No language libraries were used to avoid implementation differences. Some of the benchmarks are also implemented in Python and Scala. There are benchmarks for bit twiddling, numerical computing, data structure manipulation, concurrent computing, callouts to native libraries, and, graphics processing units (GPU) utilization.
    Downloads: 0 This Week
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