Open-source News

It's been nearly one year to the day since outlining intel's AVX-512 powered sorting library to offer blazing fast sort speeds. Over the past year has brought the 1.0 release, new algorithms in v2.0, AVX2 support and more AVX-512 optimizations in v4.0, and now today Intel is out with x86-simd-sort 5.0 with yet more performance improvements...

Running Linux on Unmodified NES Hardware  Hackster.io

SparkyLinux 2024.02 gets many significant improvements, including enhanced file system support  BetaNews

Do you need an antivirus on Linux?  XDA Developers

UBports Is Switching to a Fixed-Release Model for Ubuntu Touch OTA Updates  9to5Linux

Damn Small Linux is back and bigger than ever (but still small enough to fit on a CD)  Liliputing

Unified Linux Wine Game Launcher: A New Era of Compatibility for Steam Deck  BNN Breaking

AMD can now run Nvidia CUDA on Windows or Linux thanks to ZLUDA  Neowin

LinuxONE 4 Express: How IBM's budget mainframe could be right for you  ZDNet

LinuxONE 4 Express: How IBM's budget mainframe could be right for you  ZDNet

How to Use the time Command on Linux  How-To Geek

The first Linux distribution to deliver a pure KDE Plasma 6 environment is here  ZDNet

The first Linux distribution to deliver a pure KDE Plasma 6 environment is here  ZDNet

Bazzite Linux adds support for the Lenovo Legion Go handheld  GamingOnLinux

Birdfont, for Windows, macOS, and Linux, unveils a faster, more responsive user interface and snap-to-guides for point ...  BetaNews

AMD Quietly Funded A Drop-In CUDA Implementation Built On ROCm: It's Now Open-Source  Phoronix

While there have been efforts by AMD over the years to make it easier to port codebases targeting NVIDIA's CUDA API to run atop HIP/ROCm, it still requires work on the part of developers. The tooling has improved such as with HIPIFY to help in auto-generating but it isn't any simple, instant, and guaranteed solution -- especially if striving for optimal performance. Over the past two years AMD has quietly been funding an effort though to bring binary compatibility so that many NVIDIA CUDA applications could run atop the AMD ROCm stack at the library level -- a drop-in replacement without the need to adapt source code. In practice for many real-world workloads, it's a solution for end-users to run CUDA-enabled software without any developer intervention. Here is more information on this "skunkworks" project that is now available as open-source along with some of my own testing and performance benchmarks of this CUDA implementation built for Radeon GPUs.

Avoid Pacman Headaches on Arch Linux by Automating Mirror List Updates  How-To Geek

The best Linux distros for 2024  Android Authority

Microsoft Defender for Endpoint Boosts Linux Capabilities with eBPF Sensor  BNN Breaking