Accelerating Compression Algorithms for Faster Cloud and Edge Applications

What’s the best data compression algorithm for your application? ZLIB, Google* LZ4, LZO, BZIP2? This webinar covers this and more, exploring the Intel® Integrated Performance Primitives (Intel® IPP) tool that includes a specialized domain of highly-optimized, lossless data compression features, and new features—LZ4 data compression and decompression and Elliptic Curve cryptography functions, optimization for GraphicsMagick source code, and Intel® AVX-512 and Intel® AVX2 optimizations.

Intel IPP provides developers with ready-to-use, processor-optimized functions to accelerate image, signal, data processing, and cryptography computation tasks. Multi-core, multi-OS, and multi-platform ready, Intel IPP plugin-and-use APIs quickly improve application performance, and reduces prototype-to-product time. Dive deep into these subjects:

  • Data compression use cases and applications.
  • Benefits of replacing ZLIB1.2X with Intel IPP ZLIB, netting significant performance improvement with less compression ratio.
  • Intel IPP BZIP features, including compressing data once on the server side, and decompression multiple times on the client side.

Be sure to download Intel IPP—one of five free Intel® Performance Libraries.

About the speaker

Shaojuan Zhu, Technical Consulting Engineer, Intel Corporation

Shaojuan Zhu is a Technical Consulting Engineer at Intel supporting Intel performance libraries: Intel® Data Analytics Acceleration Library (Intel® DAAL), Intel® Integrated Performance Primitives (Intel® IPP), and Intel® Math Kernel Library (Intel® MKL). She has been developing media products and supporting performance solutions on Intel architectures since 2011. Her expertise and interests include biologically inspired neural networks, machine learning and media processing. She holds a Ph.D. in Electrical and Computer Engineering from Oregon Health and Science University.

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