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Programming: Haiku/GCC, LLVM, GitLab CE and Python

Submitted by Roy Schestowitz on Sunday 9th of June 2019 10:48:42 AM Filed under
Development
  • Haiku monthly activity report, May 2019

    korli changed how runtime_loader handles weak symbols to be more in line with the behavior of other operating systems.

    waddlesplash tweaked “strace” to print syscall names plainly, i.e. without the prefixed “kern”.

    mmu_man committed changes to allow loading the BControlLook from an add-on, and added a setting to the Appearance preferences for it. This allows developers to create their own control theming, as all controls are drawn using this class.

    A few older changes from oortwijn correcting some corner-cases in USB tablet logic were (finally) committed.

    Haiku’s malloc implementation, previously based on the (now-ancient, sbrk-based) hoard2, was replaced with rpmalloc, a high-perforance mmap-based allocator. This enables applications on 64-bit Haiku to use more than 1.5GB of RAM, and also provides an across-the-board 10-15% performance improvement, with some use-cases seeing even larger ones. Thanks go to mmlr, PulkoMandy, and waddlesplash for the Haiku-side work on this, and mjansson, the creator of rpmalloc, for being so responsive to feedback!

  • Haiku Continues Seeing A Lot Of Driver Fixes, New Malloc & Now Built By GCC 8

    The Haiku operating system that is the open-source inspiration from BeOS continues with a busy 2019 following their R1 beta towards the end of last year.

    Over the course of May there has been Haiku work on a new malloc implementation based on the high-performance rpmalloc mmap-based allocator, which is yielding around 10~15% performance improvements and some times even greater gains.

  • LLVM Adding Support For IBM MASS Library For POWER Vectorization

    A new addition to the LLVM code-base this week is initial support for IBM's MASS vectorization library.

    IBM Mathematical Acceleration Subsystem (MASS) are a set of libraries with optimized versions of frequently-used mathematical functions and vectorized to make use of POWER hardware's high core/thread counts. IBM MASS is of similar nature to say Intel's Math Kernel Library (MKL). Those wanting to learn more about the MASS libraries can do so on IBM.com.

    The LLVM code provides initial support for vectorization using the MASS vector library routines when using the -vector-library=MASSV for the LLVM compiler stack.

  • Export/import issues with GitLab CE

    GitLab CE (the free/open source version of GitLab) has an import issues feature but doesn’t have an export issues feature (because, not enterprise, apparently).

    So if you fork a project and want to transfer the issues also, you’re out of luck. Unless you use the API, that is.

    So I ducked around and found that a kind soul by the name of Joseph Heenan had created a Perl script to export your GitLab issues in CSV format. Spoiler: do not run this as-is and import the resulting CSV into GitLab CE as you will get corrupted issues. Because apparently GitLab CE has its own, incompatible CSV format compared to GitLab EE (because, not enterprise, apparently). So keep reading…

  • Python 3.7.3 : Testing the PyX python module.
  • Weekly Python StackOverflow Report: (clxxxi) stackoverflow python report
»

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