Moses machine translation performance tuninga project by marxin Moses is a statistical machine translation system that allows you to automatically train translation models for any language pair. Intention of the project is to tune up existing software, where a glimpse shows that majority of time is consumed by memory allocation, dynamic casting and other calculation non-related stuff. I would like to inspect many techniques (like perf profiling, GCC LTO, GCC profile-guided optimization, code refactoring, OpenTuner, etc.) which may bring really significant performance gain. Moreover, it would be really beneficial to come up with a cookbook that can be used by folk in general. If possible, I would like to create a step-by-step performance improvement graphs. |
kGraft analysis toolan idea by marxin kgraft-analysis-tool is a simple tool capable of showing IPA cloning decisions made by modified version of the GCC compiler: https://github.com/marxin/gcc/tree/dump-ipa-clones |
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OpenPlatform Self-Service Portalan invention by tmuntan1 Description |
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Easily Deploy an HA cluster in Virtual Machinesa project by aginies GOAL |
Run and manage your Ansible cluster using Salt!a project by PSuarezHernandez At SUSE we've implemented a module on Salt called |
merge sikuli to openqa.a project by yfjiang Investigate the good way to put sikuli into openqa. |
Generate ignition/combustion files from Uyuni/SUSE Managera project by dvosburg |
Build OpenStack traning labsa project by michael-chang As a starting point to learn and test OpenStack on relative low profile workstation/desktop, I found this project interesting and would like to setup it. :) |