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Listen to a story of how we have dealt with 201 obstacles allowing us to run multithreaded programs natively!
One of the core Scala domains is scalable, concurrent, or parallel data processing, which typically at some point is powered by JVM Threads. However, the Scala Native - an ahead-of-time compiler and runtime for Scala, was for a long time limited to only a single thread of execution. At first glance, it might have sounded like it a not a big deal. Starting system threads is easy...but then, suddenly, you need to deal with memory models, garbage collections, synchronization, data atomicity, and many more blockers, just to provide the same semantics as JVM ensures.
Listen to a story of how we have dealt with 201 obstacles allowing us to run multithreaded programs natively!
This talk is my slightly expanded version of that statement, and should hopefully understand what "Free" is, what purpose it serves and where it came from.
In this talk, I will show how you can use ScalaPy to leverage an excellent NLP library like Spacy, minimizing your discomfort of using Python, and enhancing your comfort with Scala 3 for the remaining parts of your application.
In this talk, we’ll show first the different techniques we can use to apply constraints is our domains. Then, we’ll present Iron, its features, extensions, and integrations. We’ll finish by showcasing a fully integrated constraint-enforcing app.
