'Save current settings' button in 'Advanced SFX options' dialog is now available only when converting an existing archive to SFX.

Windows 2000 is not supported by WinRAR and WinRAR self-extracting modules anymore.'Find files' command can search data in 7-Zip archives.Now the allowed value for -mt switch is 1 - 32, not 0 - 16 as before.Though, typically hard drive seek speed is a limiting factor for recovery volumes, so this gain is most noticeable when working with solid state drive. Recovery volume creating and processing can use several CPU cores.Single CPU ZIP compression is also faster than in 4.11 memory use for ZIP compression is increased to about 15 MB. now ZIP compression supports several processor cores resulting in noticeably higher performance in multi-core environment.RAR decompression is not able to use several processor cores, so its performance does not depend on a number of cores. though not to same extent as RAR compression.RAR general decompression algorithm speed is slightly improved,.In 4.11 it could use only a single processor core. 'Fastest' (-m1) compression mode also supports several processor cores now.In the command line mode the text compression can be enabled with -mct switch.You can also change this option permanently in default compression profile Press 'Compression.' button on 'Advanced' page of archiving dialog to access it. If you need maximum possible compression ratio for plain text data regardless of speed, you can enable the text compression in 'Advanced compression parameter' dialog.So we decided to disable the text algorithm by default. Also its decompression speed is much lower than in general algorithm regardless of CPU number. RAR text compression algorithm cannot utilize several CPU cores efficiently, so its performance in multiprocessor environment is much lower than for general algorithm.General RAR compression algorithm allocates about 120 MB comparing to 40 MB in WinRAR 4.11 we had to increase memory requirements to achieve higher compression speed. Several cores are utilized more efficiently when compressing large files.

Speed gain depends on data type and average file size.

While some speed gain is possible even in single processor mode, best results are achieved in multi-core environment.

RAR general compression algorithm is optimized for better utilization of several processor cores.

Win rar x64