WinZip 16.5 Will Support OpenCL for Ultra Fast Compression and Decompression



AMD APP



According to some leaked slides, the next version of WinZip will support OpenCL for accelerating compression and decompression as well as for AES encryption. WinZip 16.5 with OpenCL support should be announced with the launch of Radeon HD 7900 series.

WinZip, OpenCL, AMD, Radeon

(source)



11 thoughts on “WinZip 16.5 Will Support OpenCL for Ultra Fast Compression and Decompression”

  1. WacKEDmaN

    only problem is..if you dont have OpenCL and you try to unpack/decompress…be prepaired for a long wait!

  2. Toto

    Be prepared for a lot of driver bugs as well (especially with nVidia cards!).

  3. Leith Bade

    Interesting, I wonder what algorithm they are using to parallise the DEFLATE algorithm.

    I have been working on GPU DEFLATE for a few weeks to compress PNGs.

  4. Xajel

    I hope moved away from WinZip long time ago to WinRAR, I think the latest version I used was 6 or 7 if not earlier already. Now I wonder when Rarlab s will follow ? as from what I think that WinZip will only support it for their own .zip format…

  5. Nito Niwatori

    It’s good to hear from WinZip … but i really want WinRAR have some progress on this OpenCL power too….

    and it will be great if PAQ8 also support OpenCL because it super compression and… super slow in Typical CPU…

  6. Clinton

    open CL is also on Nvidia and some CPU’s as well.
    but i guess ATI can now say they have some use for there stream proc that makes 3 apps that take advantage of that GPU as far as i seen.

  7. SolarFox

    Finally something is happening. But unpacking with OpenCL is not needed but can be handy if u have crap ATOM cpu but packing is more than needing !!! Gief this to Winrar :)

  8. falde

    “Interesting, I wonder what algorithm they are using to parallise the DEFLATE algorithm.

    I have been working on GPU DEFLATE for a few weeks to compress PNGs.”

    They are parallizing DEFLATE by having a file format with many DEFLATE-compressed chuncs that can be processed independently.

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