![]() Key points to make it compile on ppc32 are (don't omit any of these):Įxport CXX="g++-6.4. Though, in general, palemoon 27 being the most recent non-webkit browser codebase with a lot of major features that builds without trouble, it's very dependableĮxport CC="gcc-6.4.0 -flax-vector-conversions -O3 -mcpu=7450 -mtune=7450 -maltivec -mabi=altivec -falign-loops=16 -falign-functions=16 -falign-labels=16 -falign-jumps=16"Įxport CXX="g++-6.4.0 -flax-vector-conversions -fpermissive -O3 -mcpu=7450 -mtune=7450 -maltivec -mabi=altivec -falign-loops=16 -falign-functions=16 -falign-labels=16 -falign-jumps=16"Īc_add_options -disable-parental-controlsĪc_add_options -enable-application=browserĪc_add_options -with-branding=browser/branding/arcticfox Though, in general, palemoon 27 being the most recent non-webkit browser codebase with a lot of major features that builds without trouble, it's very I have to throw in a working mozconfig since provided one is suitable only for Mac OS X, but source doesn't need any alteration. Javascript performance can't compare since tenfourfox has ION+baseline JIT while palemoon only interprets. That's where you can see who did tailor a nontrivial part of the codebase to run faster on powerpc while the other one was focused on *x86*. This software enables Intel® DLB acceleration on VMware. It is a hardware accelerator located inside the latest Intel® Xeon® devices offered by Intel. Though that's a bit unfair, given the fact that threads support is incredibly superior on linux than on tiger tenfourfox will load my dual cpu config only to ~100% of a processor, where on linux will max out both cpus usage while under heavy load. The Intel® Dynamic Load Balancer (Intel® DLB) is a PCIe device that provides load balanced, prioritized scheduling of events across CPU cores enabling efficient core-to-core communication. For a reference comparison: loading pages/scrolling and general browsing is slightly snappier than TenFourFox. My Xorg server uses a framebuffer device, so everything (inclusive to Arctic Fox) doesn't get HW acceleration. As such, there is no warranty of any I have to throw in a working mozconfig since provided one is suitable only for Mac OS X, but source doesn't need any alteration. This will speed up sites like msn.com, bbc.co.uk, facebook, twitter etc and force a tablet style layout.Īrctic Fox is released "as-is" with the hope that it will be useful. In about:config add a new string "" and use this override "Mozilla/5.0 (Linux ppc Mobile rv:52.0) Gecko/20100101 Arcticfox/27.9.15". To combat against javascript heavy sites, i recommend a mobile user agent override. On Mac Arctic Fox will use the QuickTime browser plugin to play videos, and if you are on Linux install the vlc-browser-plugin. Mac OS X users: Use the 32-bit version if you want to use the older 32-bit plugins, like silverlight (for netflix).įor a better YouTube experience on low spec machines install GreaseMonkey and the ViewTube script. ![]() Some untested firefox add-ons may severely break your browser! Please only use verified working or ported add-ons from Pale Moons repository ( ) and choose the version designed for v27, or get the tested ones linked from our download page. ![]() You can download Arctic Fox browser here, along with some add-ons and themes.Īrctic Fox does not support jetpack or webextensions. To activate oneDNN, execute the following in the Windows command prompt: set TF_ENABLE_ONEDNN_OPTS=1 before running your AI/ML workload.Prebuilt binaries available for: 10.6 & up 32-bit Intel, 10.6 & up 64-bit Intel, and 32-bit PowerPC Linux. For more information on the optimizations as well as performance data, see this blog post Faster AI Inference with Intel Optimization for TensorFlow. In order to take full advantage of Intel architecture and to extract maximum performance, the TensorFlow framework has been optimized using oneAPI Deep Neural Network Library (oneDNN) primitives, a popular performance library for deep learning applications. This optimized version of TensorFlow for Windows OS has been produced by Intel. ![]() Originally developed by researchers and engineers from the Google Brain team ( ) within Google's AI organization, TensorFlow comes with strong support for machine learning and deep learning with a flexible numerical computation core that can be used across many other scientific domains. Its flexible architecture allows easy deployment of computation across a variety of platforms, and from desktops to clusters of servers to mobile and edge devices. TensorFlow is an open source software library for high performance numerical computation.
0 Comments
Leave a Reply. |