Development: Gtk4, GNOME Foundation, Coda, AutoML, LLVM
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Modern Text Editor Design
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Gtk4 development is heating up, and we are starting to see a toolkit built like a game engine. That’s pretty cool. But how will that change how we write editors? Should it?
In the Gtk3 cycle, I added support to GtkTextView that would render using Alex’s GtkPixelCache. It helped us amortize the cost of rendering into mostly just an XCopyArea() when drawing a frame. It’s why we have that nice 60fps two-finger-scrolling.
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Policy hacking
The hackfest was part of an effort to redefine how the GNOME Foundation operates and is perceived.
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Until now, the board has largely operated in an executive mode: each meeting we decide on funding requests, trademark questions and whatever other miscellaneous issues come our way. While some of this decision-making responsibility is to be expected, it is also fair to say that the board spends too much time on small questions and not enough on bigger ones.
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Coda revival
Coda is a distributed file system developed as a research project at Carnegie Mellon University, descended from a older version of the Andrew File System. It got dropped from FreeBSD some five years ago, due to not having been adopted for a MPSAFE world. The focus for this current project is to bring it back into sufficiently workable shape that it could return to the kernel. It is currently in a working condition. Work is underway to test it better, fix whatever issues are found, and commit it to 12-CURRENT.
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Google's Learning Software Learns to Write Learning Software
In a project called AutoML, Google’s researchers have taught machine-learning software to build machine-learning software. In some instances, what it comes up with is more powerful and efficient than the best systems the researchers themselves can design. Google says the system recently scored a record 82 percent at categorizing images by their content. On the harder task of marking the location of multiple objects in an image, an important task for augmented reality and autonomous robots, the auto-generated system scored 43 percent. The best human-built system scored 39 percent.
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Intel Begins Working On "Knights Mill" Support For LLVM/Clang
Intel compiler engineers have begun mainlining "Knights Mill" enablement within the LLVM compiler stack.
Knights Mill is the codename for an upcoming Xeon Phi expected for release later this quarter. Details on Knights Mill are relatively light but it will cater to deep learning / AI use-cases and more efficient than Knights Landing (KNL).
Intel has previously said Knights Mill is capable of twice the performance of Knights Landing for floating point operations per cycle and there are also new/optimized instructions for 8-bit and 16-bit arithmetic.
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