In 2009, while working at DS2 as a Sys Admin in Valencia, I found myself in charge of building and running a Condor cluster (now known as HTCondor) to support large-scale simulations for Power Line Communication (PLC) systems.
At the time, I didn’t think of it as “HPC” or “distributed computing.” It was just… a way to get simulations done before the deadline.
Looking back, that experience taught me more about systems architecture, parallelism, and infrastructure-driven engineering than I realized at the time — and today, as I started learning AI/ML, I keep recognizing echoes of those lessons.
Hi all,
If is not obvious enough, I migrated my blogpost to Hugo. Why ? Because is easy.
Written in Go, Hugo is an open source static site generator available under the Apache Licence 2.0. Hugo supports TOML, YAML and JSON data file types, Markdown and HTML content files and uses shortcodes to add rich content. Other notable features are taxonomies, multilingual mode, image processing, custom output formats, HTML/CSS/JS minification and support for Sass SCSS workflows.
Last week, I had the incredible opportunity to visit Taipei, a place rich in culture and technology.
I never been there before, I must say it remember Japan a lot, from the airport to the city I passed by nice cloudy mountains and the taxi driver offered me Guava with Honey! How nice people are there!
The highlight of the trip was visiting the iconic Taipei 101 building, where I had the privilege to give a talk about web performance with my friends at CloudMile.