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Programming Leftovers

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  • AMD Releases ROCm 4.2 Compute Stack - Phoronix

    Just over one month has passed since the release of Radeon ROCm 4.1 and it's now been succeeded by the ROCm 4.2 feature release. 

    The Radeon Open eCosystem 4.2 release comes with changes such as: 

    - HIP target platform macros were added for easily targeting HIP_PLATFORM_AMD / HIP_PLATFORM_NVIDIA code differences such as including different header files. 

    - Stream Memory Operations now allow direct synchronization between network nodes and GPUs. 

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  • GCC 12 Adds Support For New #elifdef #elifndef Directives - Phoronix

    With C2X and potentially a future version of C++, there is finally the #elifdef and #elifndef directives. The GNU Compiler Collection is preparing its support. 

    There has long been #ifdef, #else, #elif and similar directives for controlling conditional compilation in C/C++. While there has been #ifdef, until the upcoming C2X there hasn't been #elifdef for else if defined or #elifndef for else if not defined... Short of pairing "#elif defined()" or so. With C2X the #elifdef and #elifndef pre-processor directives are finally there and it's being looked at for C++ as well. 

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  • Can’t the Compiler Do That?

    Good static analysis can save a lot of effort and time. With customized static code analysis, the project code can be checked not only for general programming errors but also for project-specific conventions and best practices. The Clang Compiler Framework provides the ideal basis for this.

    The programming language C++ manages the balancing act between maximum performance, which is essential in the embedded sector, on the one hand, and maximum code correctness through a high level of abstraction on the other. The balancing act is achieved by focusing on compile-time checks and opportunities for optimization. Calculations that could be carried out more efficiently by low-level code should not, where possible, be rewritten by the developer, but by the compiler. Additionally, errors should already be excluded during compilation, instead of taking up valuable computing time for checks at runtime.

    Clang has become very popular in recent years and has long since established itself as one of the most important C and C++ compilers. This success is due not least to the architecture of Clang itself. Clang is not just another compiler, but a compiler framework. The essential parts of the compiler are a carefully designed library, thus enabling the diverse landscape of analysis and refactoring tools that has already emerged around the framework based on the LLVM project.

    The command-line tool, clang-tidy, offers static code analysis and checks compliance with coding conventions, among other things, but can also refactor code independently. The clang-format tool can automatically standardize the coding style. The Clazy tool, which was developed by the author’s company, supplements the compiler with a variety of warnings around the Qt software framework and warns of frequent anti-patterns in the use of the same. Many other useful tools exist in the Clang universe, as well. Even integrated development environments, such as Qt Creator or CLion, rely on the Clang Compiler Framework for syntax highlighting, code navigation, auto-completion, and refactoring.

    Anyone who knows the tools of the Clang world in their entirety is well positioned as a C or C++ developer. But if you want to get everything out of the technology, that is not the end of the story. The LibTooling library, on which most Clang tools are based, also allows you to create your own customized code analysis and refactoring tools, with little effort.

    I’ll give you an example. A small but recurring piece of the puzzle of embedded software is the exponentiation of real numbers, mostly with static, natural exponents. Of course, the std::pow function would be used for this, had it not been determined in extensive profiling that on-the-target architecture std::pow(x, 4) is many times slower than x*x*x and forms a bottleneck in particularly performance-critical code. The senior developer of the project has therefore created a template function, usable as utils::pow<4>(x). And thanks to compiler optimizations, it’s just as nimble as the manual variant1. Nevertheless, since then the usual std::pow variant has crept in again at various places in the code, and even several hundred thousand lines of code have not been ported consistently.

    The first attempt to automate the refactoring is, of course, the search and replace with a regular expression. std::pow\((.*), (\d+)\) already finds the simplest cases. But what about the cases where the “std::” is omitted or the second parameter is more complicated than an integer literal?

  • Ensemble Learning in Python by Example – Linux Hint

    There is no secret that machine learning is getting better with time and the predictive models. Predictive models form the core of machine learning. It is good to improve the accuracy of the model for better results in the machine learning model. A technique called “ensemble machine learning” is used for increasing the performance and accuracy of a model.

    Ensemble learning uses different models of machine learning for trying to make better predictions on the dataset. A model’s predictions are combined in an ensemble model for making the final prediction successful. However, many people are not familiar with ensemble machine learning. Read below; we explain everything about this machine learning technique using Python with appropriate examples.

    Suppose you are participating in a trivia game and have good knowledge of some topics, but you don’t know anything other few topics. A team member would be required to cover all of the game topics if you wish to achieve a maximum score in the game. It is the basic idea behind ensemble learning in which we combine the predictions from different models for accurate output.

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  • William Brown: Compiler Bootstrapping - Can We Trust Rust?

    Recently I have been doing a lot of work for SUSE with how we package the Rust compiler. This process has been really interesting and challenging, but like anything it’s certainly provided a lot of time for thought while waiting for my packages to build.

  • Vircadia Web Interface Announced

    According to the announcement, Vircadia has partnered with Linux Professional Institute (LPI) on this project and will be adding support for Vircadia’s servers to communicate with web browsers over WebRTC.

  • Percona Announces Preview Of Open Source Database as a Service

    As an alternative to public cloud and large enterprise database vendor DBaaS offerings, this on-demand self-service option provides users with a convenient and simple way to deploy databases quickly. Plus, using Percona Kubernetes Operators means it is possible to configure a database once, and deploy it anywhere.

More in Tux Machines

digiKam 7.7.0 is released

After three months of active maintenance and another bug triage, the digiKam team is proud to present version 7.7.0 of its open source digital photo manager. See below the list of most important features coming with this release. Read more

Dilution and Misuse of the "Linux" Brand

Samsung, Red Hat to Work on Linux Drivers for Future Tech

The metaverse is expected to uproot system design as we know it, and Samsung is one of many hardware vendors re-imagining data center infrastructure in preparation for a parallel 3D world. Samsung is working on new memory technologies that provide faster bandwidth inside hardware for data to travel between CPUs, storage and other computing resources. The company also announced it was partnering with Red Hat to ensure these technologies have Linux compatibility. Read more

today's howtos

  • How to install go1.19beta on Ubuntu 22.04 – NextGenTips

    In this tutorial, we are going to explore how to install go on Ubuntu 22.04 Golang is an open-source programming language that is easy to learn and use. It is built-in concurrency and has a robust standard library. It is reliable, builds fast, and efficient software that scales fast. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel-type systems enable flexible and modular program constructions. Go compiles quickly to machine code and has the convenience of garbage collection and the power of run-time reflection. In this guide, we are going to learn how to install golang 1.19beta on Ubuntu 22.04. Go 1.19beta1 is not yet released. There is so much work in progress with all the documentation.

  • molecule test: failed to connect to bus in systemd container - openQA bites

    Ansible Molecule is a project to help you test your ansible roles. I’m using molecule for automatically testing the ansible roles of geekoops.

  • How To Install MongoDB on AlmaLinux 9 - idroot

    In this tutorial, we will show you how to install MongoDB on AlmaLinux 9. For those of you who didn’t know, MongoDB is a high-performance, highly scalable document-oriented NoSQL database. Unlike in SQL databases where data is stored in rows and columns inside tables, in MongoDB, data is structured in JSON-like format inside records which are referred to as documents. The open-source attribute of MongoDB as a database software makes it an ideal candidate for almost any database-related project. This article assumes you have at least basic knowledge of Linux, know how to use the shell, and most importantly, you host your site on your own VPS. The installation is quite simple and assumes you are running in the root account, if not you may need to add ‘sudo‘ to the commands to get root privileges. I will show you the step-by-step installation of the MongoDB NoSQL database on AlmaLinux 9. You can follow the same instructions for CentOS and Rocky Linux.

  • An introduction (and how-to) to Plugin Loader for the Steam Deck. - Invidious
  • Self-host a Ghost Blog With Traefik

    Ghost is a very popular open-source content management system. Started as an alternative to WordPress and it went on to become an alternative to Substack by focusing on membership and newsletter. The creators of Ghost offer managed Pro hosting but it may not fit everyone's budget. Alternatively, you can self-host it on your own cloud servers. On Linux handbook, we already have a guide on deploying Ghost with Docker in a reverse proxy setup. Instead of Ngnix reverse proxy, you can also use another software called Traefik with Docker. It is a popular open-source cloud-native application proxy, API Gateway, Edge-router, and more. I use Traefik to secure my websites using an SSL certificate obtained from Let's Encrypt. Once deployed, Traefik can automatically manage your certificates and their renewals. In this tutorial, I'll share the necessary steps for deploying a Ghost blog with Docker and Traefik.