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| INTEL® VTUNE ANALYZERS |
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 Intel® VTune analyzers help locate and remove software performance bottlenecks by collecting, analyzing, and displaying system-wide data down to specific functions, modules, or instructions. The VTune analyzers provide multiple profiling technologies that enable optimization across multiple operating system platforms and development environments and support the latest Intel® processors.
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Intel® VTune Performance Analyzer for Windows*
Intel VTune Performance Analyzer provides a graphical interface on Windows platforms; optional Visual Studio* .NET integration; and remote support for Linux IA-32 and Itanium processor-based applications as well as Intel® PXA250, PXA255, and PXA26x processor-based applications. Key features include sampling capability, call graph capability, counter monitor, and an enhanced Intel® Tuning Assistant.
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Intel® VTune Performance Analyzer for Linux*
Intel VTune Performance Analyzer for Linux helps improve software performance by finding bottlenecks and hotspots through advanced profiling technologies. Key highlights include a fully native Linux command line interface with support for Itanium and IA-32 processor-based applications, as well as Java* applications executed on IA-32 processor-based Linux systems.
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| INTEL® PERFORMANCE LIBRARIES |
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 Intel® Performance Libraries offer pre-built library functions optimized for Intel processors, enabling developers to focus on building value-add functionality. Intel® Integrated Performance Primitives software library offers a variety of multimedia functions to increase performance of audio/video codecs and image/signal processing. The Intel® Math Kernel Library provides linear algebra, Fourier Transform, vector math and statistical functions for financial, scientific and engineering software.
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Intel® Integrated Performance Primitives (Intel® IPP)
Intel IPP is a cross-platform
software library that allows users to write highly optimized applications
to maximize performance on Intel processors. Intel IPP includes functionality
for signal and image processing, cryptography, text strings and vector
manipulation, matrix math, as well as more sophisticated primitives
for construction of audio, video and speech codecs.
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Intel® Math Kernel Library (Intel® MKL)
Intel® Math Kernel Library (Intel® MKL) is composed of highly optimized functions for math, engineering, scientific, and financial applications that require high performance on Intel platforms. The functional areas of the library include linear algebra consisting of LAPACK and BLAS, discrete Fourier Transforms (DFT), vector transcendental functions (vector math library/VML) and vector statistical library (VSL) functions.
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| TRAINING AT INTEL® SOFTWARE COLLEGE |
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