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Programming: Tryton Unconference, Argonne Looks to Singularity for HPC Code Portability, Mitogen v0.2.4 and More Python Bits

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  • Tryton Unconference 2019: In Marseille on the 6th & 7th of June

    We will go in the sunny city of Marseille in south of France on the 6th and 7th of June. Contrary to previous editions of the Tryton Unconferences the coding sprint will be organized during the two days preceding the conference.

  • Argonne Looks to Singularity for HPC Code Portability

    Scaling code for massively parallel architectures is a common challenge the scientific community faces. When moving from a system used for development—a personal laptop, for instance, or even a university’s computing cluster—to a large-scale supercomputer like those housed at the Argonne Leadership Computing Facility, researchers traditionally would only migrate the target application: the underlying software stack would be left behind.

    To help alleviate this problem, the ALCF has deployed the service Singularity. Singularity, an open-source framework originally developed by Lawrence Berkeley National Laboratory (LBNL) and now supported by Sylabs Inc., is a tool for creating and running containers (platforms designed to package code and its dependencies so as to facilitate fast and reliable switching between computing environments)—albeit one intended specifically for scientific workflows and high-performance computing resources.

  • Mitogen v0.2.4 released

    Mitogen for Ansible v0.2.4 has been released. This version is noteworthy as it contains major refinements to the core libary and Ansible extension to improve its behaviour during larger Ansible runs.

    Work on scalability is far from complete, as it progresses towards inclusion of a patch held back since last summer to introduce per-CPU multiplexers. The current idea is to exhaust profiling gains from a single process before landing it, as all single-CPU gains continue to apply in that case, and there is much less risk of inefficiency being hidden in noise created by multiple multiplexer processes.

  • Introducing kids to computational thinking with Python
  • The Factory Method Pattern and Its Implementation in Python
  • PyDev of the Week: Paolo Melchiorre
  • Create a filter for the audio and image files with python
  • Some simple CodeWars problems

More in Tux Machines

Variscite unveils two i.MX8 QuadMax modules

Variscite announced Linux-powered “VAR-SOM-MX8” and “SPEAR-MX8” modules with an up to an i.MX8 QuadMax SoC plus up to 8GB LPDDR4 and 64GB eMMC. It also previewed a VAR-SOM-6UL COM. At Embedded World next week in Nuremberg, Germany, Variscite will showcase its Linux and Android driven i.MX8-family computer-on-modules, including new VAR-SOM-MX8 and SPEAR-MX8 modules that feature NXP’s highest-end i.MX8 SoC up to a QuadMax model (see farther below). We have already covered most of the other showcased products, including the 14nm fabricated, quad -A53 i.MX8M Mini based DART-MX8M-Mini. When we covered the DART-MX8M-Mini in September, Variscite didn’t have an image or product page, but both are now available here Read more

Android Leftovers

Programming: Developer Happiness, Rblpapi 0.3.8 and Python

  • Developer happiness: What you need to know
    A person needs the right tools for the job. There's nothing as frustrating as getting halfway through a car repair, for instance, only to discover you don't have the specialized tool you need to complete the job. The same concept applies to developers: you need the tools to do what you are best at, without disrupting your workflow with compliance and security needs, so you can produce code faster. Over half—51%, to be specific—of developers spend only one to four hours each day programming, according to ActiveState's recent Developer Survey 2018: Open Source Runtime Pains. In other words, the majority of developers spend less than half of their time coding. According to the survey, 50% of developers say security is one of their biggest concerns, but 67% of developers choose not to add a new language when coding because of the difficulties related to corporate policies.
  • Rblpapi 0.3.8: Keeping CRAN happy
    A minimal maintenance release of Rblpapi, now at version 0.3.9, arrived on CRAN earlier today. Rblpapi provides a direct interface between R and the Bloomberg Terminal via the C++ API provided by Bloomberg (but note that a valid Bloomberg license and installation is required). This is the ninth release since the package first appeared on CRAN in 2016. It accomodates a request by CRAN / R Core to cope with staged installs which will be a new feature of R 3.6.0. No other changes were made (besides updating a now-stale URL at Bloomberg in a few spots and other miniscule maintenance). However, a few other changes have been piling up at the GitHub repo so feel free to try that version too.
  • Episode #200: Escaping Excel Hell with Python and Pandas
  • Testing native ES modules using Mocha and esm.

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