Skip to main content

Koha 3.2.0: Darrell Ulm as contributer: from the Library Technology Guide


This is the Koha 3.2.0 announcement with reference to Darrell Ulm as code contributor to the Integrated Library System (ILS) Open Source project.

An announcement from the Library Technology Guides, October 22, 2010, which includes other contributors and notes about the Koha Integrated Library Software (ILS) Open Source code release.

Tumblr, Wordpress

Popular posts from this blog

Drupal 7 EOL and how long will Drupal 9 be Supported

How long will Drupal 9 be supported.   Currently, it is 2023. This is a crucial question for Drupal site owners and builders. While that may seem like a long time away, upgrading from Drupal 8 to 9 is relatively easy compared to previous upgrades from Drupal 5 to 6 and 6 to Drupal 7. Where does this leave the Drupal 7 sites that still need to be upgraded to Drupal 9? The year is 2022, and Drupal 7 continues to be supported for a bit longer to help developers and owners with the upgrade process. Drupal 8 and 9 have really come into their own in recent years. Drupal 8 offered significant enhancements compared to Drupal 7, and the contributed modules are looking promising for the future of Drupal.  

Threads profile for Darrell Ulm

I've recently taken the step of joining Threads as Darrell Ulm ( https://www.threads.com/@darrell_ulm ),  as I embark on a journey to relearn and expand my existing knowledge in areas like artificial intelligence. My current focus involves delving deeper into the intricacies of AI, particularly exploring the fascinating world of Large Language Models (LLMs) and understanding how these sophisticated models are developed and utilized. I'm also revisiting the fundamentals of Neural Networks, the core building blocks that enable AI systems to learn and make predictions. Given the computational demands of these fields, I'm also keen on extending the principles and applications I previously learned in parallel processing, which plays a crucial role in efficiently handling the complex computations involved in AI. Darrell R. Ulm

Getting back into parallel computing with Apache Spark

Returning to parallel computing with Apache Spark has been insightful, especially observing the increasing mainstream adoption of the McColl and Valiant BSP (Bulk Synchronous Parallel) model beyond GPUs. This structured approach to parallel computation, with its emphasis on synchronized supersteps, offers a practical framework for diverse parallel architectures.While setting up Spark on clusters can involve effort and introduce overhead, ongoing optimizations are expected to enhance its efficiency over time. Improvements in data handling, memory management, and query execution aim to streamline parallel processing.A GitHub repository for Spark snippets has been created as a resource for practical examples. As Apache Spark continues to evolve in parallel with the HDFS (Hadoop Distributed File System), this repository intends to showcase solutions leveraging their combined strengths for scalable data processing.