46 lines
1.7 KiB
Markdown
46 lines
1.7 KiB
Markdown
# MultiPar
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### v1.3.3.2 is public
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This is a small fix version to improve performance of GPU acceleration.
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It will become faster on AMD Radeon graphics boards.
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It may be slightly faster on Nvidia GeForce graphics boards.
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There is no difference in CPU calculation.
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Because this isn't tested so much, there may be a bug, failure, or mistake.
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If you see a problem, please report the incident.
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I will try to solve as possible as I can.
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I changed 3 points in my OpenCL implementation.
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It's possible to test them by `lc` option at command-line.
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Thanks [cavalia88, Slava46, and Anime Tosho for many tests and wonderful idea](https://github.com/Yutaka-Sawada/MultiPar/issues/107).
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OpenCL perfomance is varied in every graphics boards.
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If you have a fast graphics board, enabling "GPU acceleration" would be faster.
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If it's not so fast (or is slow) on your PC, just un-check the feature.
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1) Data transfur between PC's RAM and GPU's VRAM
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2) Calculation over GPU
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3) Calculate 2 blocks at once to reduce number of table lookup
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[ Changes from 1.3.3.1 to 1.3.3.2 ]
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PAR2 client update
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- Improvement
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- GPU acceleration will work well on AMD graphics boards.
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[ Hash value ]
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MultiPar1332.zip
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MD5: 5F2848ED7F65C632D1FED42A39B66F95
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SHA1: CFA2CC6D217704BE2AF9DEDE15B117E9DC26A25B
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MultiPar1332_setup.exe
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MD5: 338F9D0842762338DC83921BBE546AF8
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SHA1: 2A11FD544D49AA7B952214733C9D8E53F647592E
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To install under "Program Files" or "Program Files (x86)" directory,
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you must select "Install for all users" at the first dialog.
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Old versions and source code packages are available at
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[GitHub](https://github.com/Yutaka-Sawada/MultiPar/releases) or
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[OneDrive](https://1drv.ms/u/s!AtGhNMUyvbWOaSo1n_R8awJ_hg0).
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