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FFmpeg 8.0 “Huffman” Released with AV1 Vulkan Encoder, VVC VA-API Decoding

Dubbed “Huffman” and coming more than ten months after FFmpeg 7.1, the FFmpeg 8.0 release is here to enable TLS peer certificate verification by default, add an AV1 Vulkan encoder, introduce VP9 Vulkan and ProRes RAW Vulkan hardware-acceleration, and implement APV encoding support through a libopenapv wrapper.

Calibre 8.9 E-Book Manager Adds Support for Embedded Fonts to HTMLZ Output

Calibre 8.9 is here to add support for embedded fonts to HTMLZ output, a color swatch in the results list of the Annotations browser to make seeing the type of highlight easier, and the ability to display the cover of the target book when merging books via drag and drop.

LinuxGizmos.com

Tiny Linux-Based Industrial Module Built on RK3506J SoC

The FET3506J-C is a compact embedded module from Forlinx based on the Rockchip RK3506J. It is designed for long-term industrial use in automation, transportation, energy, and communication systems. The module runs Linux 6.1 and supports low power operation, a small footprint, and extended temperature ranges.

Banana Pi BPI-M4 Super with Rockchip RK3568B2 and Dual Ethernet

Banana Pi has shared more hardware details about the upcoming BPI-M4 Super, a single-board computer designed for multimedia and IoT applications. The board integrates dual Ethernet (1 GbE and 2.5 GbE), PCIe expansion, Wi-Fi 6, Bluetooth 5.3, and 4K HDMI output.

Game Bub Fully Open-Source FPGA Handheld Launched on Crowd Supply

Game Bub, an open-source FPGA handheld designed for retro gaming, has just launched on Crowd Supply. Built to natively support Game Boy and Game Boy Advance cartridges, it also features link cable compatibility for multiplayer gaming with other Game Bub units or original Nintendo handhelds.

ArmSoM RK3588 AI Module7 Launches as Jetson Nano-Compatible Edge Platform

First unveiled a year ago, ArmSoM has finally launched the RK3588 AI Module7 (AIM7) on Crowd Supply. The open hardware compute module is designed as a Jetson Nano–compatible alternative, targeting edge computing, vision systems, and embedded AI projects.

MNT Reform RCORE V2 with RK3588 Upgrade Now Available

MNT Research has launched the RCORE V2 on Crowd Supply, its most powerful processor module upgrade for the open hardware MNT Reform and Pocket Reform laptops. Based on the Rockchip RK3588 SoC, the module boosts CPU, GPU, and RAM performance over earlier options and simplifies installation by removing the need for an internal HDMI adapter in the Reform chassis.

DE23-Lite Development Kit with Agilex 3 FPGA Targets Education and Prototyping

Terasic has introduced the DE23-Lite, a compact development board powered by the Altera Agilex 3 FPGA and positioned as a cost-effective platform for education and prototyping. Compared to the earlier DE10-Lite, it brings upgraded I/O flexibility, integrated peripherals, and modern FPGA capabilities for digital logic, robotics, embedded vision, and classroom instruction.

GNU Parallel 20230422 ('Grand Jury') released

posted by Roy Schestowitz on Apr 23, 2023,
updated Apr 23, 2023

GNU Parallel 20230422 ('Grand Jury') has been released. It is available for download at: lbry://@GnuParallel:4
Quote of the month:
  parallel might be one of the best utilities out there
    -- @ThePrimeagen@twitter ThePrimeagen
New in this release:

--jobs evaluates expression: +3*log(55)% = ncpu*1.12
Bug fixes and man page updates. News about GNU Parallel:
Running shell script in parallel https://w3toppers.com/running-shell-script-in-parallel/
Simulating climate risk scenarios for the Amazon Rainforest https://aws.amazon.com/blogs/hpc/simulating-climate-risk-scenarios-for-the-amazon-rainforest/
How To Use Your Entire CPU In Bash With Parallel https://bash-prompt.net/guides/parallell-bash/
Bash - parallel command execution https://medium.com/linuxstories/bash-parallel-command-execution-d4bd7c7cc1d6
3 tips for faster batch post-pro https://www.cfdengine.com/newsletter/142/ GNU Parallel - For people who live life in the parallel lane. If you like GNU Parallel record a video testimonial: Say who you are, what you use GNU Parallel for, how it helps you, and what you like most about it. Include a command that uses GNU Parallel if you feel like it.

About GNU Parallel

GNU Parallel is a shell tool for executing jobs in parallel using one or more computers. A job can be a single command or a small script that has to be run for each of the lines in the input. The typical input is a list of files, a list of hosts, a list of users, a list of URLs, or a list of tables. A job can also be a command that reads from a pipe. GNU Parallel can then split the input and pipe it into commands in parallel.
If you use xargs and tee today you will find GNU Parallel very easy to use as GNU Parallel is written to have the same options as xargs. If you write loops in shell, you will find GNU Parallel may be able to replace most of the loops and make them run faster by running several jobs in parallel. GNU Parallel can even replace nested loops.
GNU Parallel makes sure output from the commands is the same output as you would get had you run the commands sequentially. This makes it possible to use output from GNU Parallel as input for other programs.
For example you can run this to convert all jpeg files into png and gif files and have a progress bar:
parallel --bar convert {1} {1.}.{2} ::: *.jpg ::: png gif
Or you can generate big, medium, and small thumbnails of all jpeg files in sub dirs:
find . -name '*.jpg' |
parallel convert -geometry {2} {1} {1//}/thumb{2}_{1/} :::: - ::: 50 100 200
You can find more about GNU Parallel at: http://www.gnu.org/s/parallel/
You can install GNU Parallel in just 10 seconds with:
$ (wget -O - pi.dk/3 || lynx -source pi.dk/3 || curl pi.dk/3/ || \
fetch -o - http://pi.dk/3 ) > install.sh
$ sha1sum install.sh | grep 883c667e01eed62f975ad28b6d50e22a
12345678 883c667e 01eed62f 975ad28b 6d50e22a
$ md5sum install.sh | grep cc21b4c943fd03e93ae1ae49e28573c0
cc21b4c9 43fd03e9 3ae1ae49 e28573c0
$ sha512sum install.sh | grep ec113b49a54e705f86d51e784ebced224fdff3f52
79945d9d 250b42a4 2067bb00 99da012e c113b49a 54e705f8 6d51e784 ebced224
fdff3f52 ca588d64 e75f6033 61bd543f d631f592 2f87ceb2 ab034149 6df84a35
$ bash install.sh
Watch the intro video on http://www.youtube.com/playlist?list=PL284C9FF2488BC6D1
Walk through the tutorial (man parallel_tutorial). Your command line will love you for it.
When using programs that use GNU Parallel to process data for publication please cite:
O. Tange (2018): GNU Parallel 2018, March 2018, https://doi.org/10.5281/zenodo.1146014.
If you like GNU Parallel:

Give a demo at your local user group/team/colleagues
Post the intro videos on Reddit/Diaspora*/forums/blogs/ Identi.ca/Google+/Twitter/Facebook/Linkedin/mailing lists
Get the merchandise https://gnuparallel.threadless.com/designs/gnu-parallel
Request or write a review for your favourite blog or magazine
Request or build a package for your favourite distribution (if it is not already there)
Invite me for your next conference If you use programs that use GNU Parallel for research:
Please cite GNU Parallel in you publications (use --citation) If GNU Parallel saves you money:
(Have your company) donate to FSF https://my.fsf.org/donate/

About GNU SQL

GNU sql aims to give a simple, unified interface for accessing databases through all the different databases' command line clients. So far the focus has been on giving a common way to specify login information (protocol, username, password, hostname, and port number), size (database and table size), and running queries.
The database is addressed using a DBURL. If commands are left out you will get that database's interactive shell.
When using GNU SQL for a publication please cite:
O. Tange (2011): GNU SQL - A Command Line Tool for Accessing Different Databases Using DBURLs, ;login: The USENIX Magazine, April 2011:29-32.

About GNU Niceload

GNU niceload slows down a program when the computer load average (or other system activity) is above a certain limit. When the limit is reached the program will be suspended for some time. If the limit is a soft limit the program will be allowed to run for short amounts of time before being suspended again. If the limit is a hard limit the program will only be allowed to run when the system is below the limit.

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