Accelerating Lossless Data Compression Code for Cloud and Edge Applications

  • Overview

Wednesday, October 25, 2017 9 AM PDT

Compressing and decompressing data is increasingly important to save storage space and improve communication efficiency. But compression and decompression take extra processor resources―and in data-intensive applications, this can greatly affect overall system performance. An optimized implementation of compression algorithms plays a critical role in minimizing system-performance impact. 

Intel® Integrated Performance Primitives (Intel® IPP) includes a specialized domain of highly optimized, lossless data compression functions including ZLIB, BZIP, and LZO. The latest Intel IPP also introduces the LZ4 algorithm to support fast compression. 

Want to find out more?

Join us for a review of Intel IPP usage, performance, and features, including explanations for how applications can decide the compression algorithm to use according to their workload characteristics. Be sure to download Intel IPP—one of five free Intel® Performance Libraries.

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Benchmark results were obtained prior to the implementation of recent software patches and firmware updates intended to address exploits referred to as "Spectre" and "Meltdown". Implementation of these updates may make these results inapplicable to your device or system.

Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more information, see Performance Benchmark Test Disclosure.