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→Optimizing Image Processing using Intel's Integrated Performance Primitives, Thread Building Blocks, and OpenMP w/ Comparison
Incorporating Intel's oneAPI DAL into image processing applications is only efficient when massive datasets of Image Data need processing or very computationally intensive operations such as image compression, dimensionality reduction, or feature extraction is required. DAL's optimized algorithms provide a performance advantage over other libraries when performing heavy linear algebra and statistical functions. DAL also offers excellent flexibility for creating custom algorithms.
'''Intel oneAPI's IPP Library Overview:'''The Intel oneAPI's IPP (Integrated Performance Primitives) library enhances signal and image processing by providing the necessary mathematical operations. IPP runs on Windows, Linux, and macOS, although it is optimized for Intel processors, taking advantage of Intel instruction sets like Streaming SIMD Extensions (SSE) to maximize runtime speeds on Intel CPUs. Because it provides an accessible API with multiple methods for tasks such as image filtering, audio processing, and even cryptography, IPP can be integrated into existing programs and projects. Intel IPP is included as part of Intel's oneAPI Base Toolkit.
'''OpenMP API Library Overview:'''