Intel® SSD Data Center P3700 Series (SSDPEDMD400G4) Memory size: 256 GB (16X16 GB) DDR4 2133Pīrand/model: Micron – MTA36ASF2G72PZ2GATESIGīrand and model: 1 TB Western Digital (WD1002FAEX) Platform: Intel® Server System R2000WT product family (code-named Wildcat Pass) System bus: 9.6 GT/s Intel® QuickPath Interconnect.Chipset: Intel® C610 series chipset, QS (B-1 step).Number of cores per chip: 22 (only used single core).Intel® Xeon® processor E5-2699 v4, 2.2 GHz Hardware and Software Configuration CPU and Chipset The code sample is a compression and decompression tool that can be used to compare the ration and performance of Intel ISA-L’s semi-dynamic compression algorithm on a public data set with the standard DEFLATE implementation, zlib*. It describes prerequisites for using Intel ISA-L, and includes a downloadable code sample, with full build instructions. This article's goal is to help you incorporate Intel ISA-L’s semi-dynamic compression and optimized decompression algorithms into your storage application. Testing shows the usage of semi-dynamic compression and decompression is only slightly slower than using a static table and almost as space-efficient as algorithms that use dynamic tables. In addition, Intel® ISA-L offers a version of the decompression (inflate) algorithm which substantially improves the decompression performance.

The Intel® Intelligent Storage Acceleration Library (Intel® ISA-L) semi-dynamic compression comes close to getting the best of both worlds. Those who want the best compression results use a dynamic table at the cost of more processing time, while the algorithms focused on throughput will use static tables.

DEFLATE compression algorithms traditionally use either a dynamic or static compression table.

Linux inflate file with xz extension