Learn how to accelerate Scala code by orders of magnitude with Cyfra.


Learn how to accelerate Scala code by orders of magnitude with Cyfra.
There are many libraries that give you access to low-level GPU APIs, but a high-level, functional one is a different story. That’s why we created the Cyfra GPGPU framework. Use Cyfra to write functional Scala code that compiles to SPIR-V and run it with minimal setup on our Vulkan runtime. Scientific simulations, real-time data processing, rendering, and more, all become possible within the Scala language.
In this talk, we’ll demonstrate how to build a high-performance application with Cyfra. We will dive into our model of type-safe data pipelines and memory management. To complete the picture, we will also showcase a set of real-world applications.
For nearly a decade, Scala's concurrency has been driven by Akka, Cats Effect and ZIO, each with its own vision for purity, safety, and pragmatism. Kyo enters this incredible ecosystem with a fresh perspective.This talk provides a critical, technical comparison of these systems through a unified framework.
In this talk, I will present insights from running the Open Community Build, where we continuously build and migrate nearly 2,000 open-source projects to the newest Scala Next versions, from scratch, every week.
Scala Fibers, Java Virtual Threads, and Kotlin Coroutines - this talk shows how this elegant solution manifests at three different abstraction levels.
So, is there a modern solution for web apps that is powerful, simple, and blazingly fast in both CI and the browser? A solution that lets you write in your favorite backend language and is fun? The answer is Datastar!
In this talk, I will introduce the highlights of what to look forward to in Scala 3.9 LTS, as well as how to think about the upcoming new release.