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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.
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.
When writing software, we currently seem to have to choose between an imperative style - easy to read and write, hard to reason about - and a monadic style - hard to read and write, easy to reason about.This talk is about being greedy and getting the best of both worlds, because we deserve it.
Scala Fibers, Java Virtual Threads, and Kotlin Coroutines - this talk shows how this elegant solution manifests at three different abstraction levels.
Don't miss out on this opportunity to connect with Scalar community and create lasting memories!
In my talk I will argue that we can do much better by relying in a systematic way on types and capabilities.
We'll explore type classes in Scala 3, using its new rules for givens, extension methods, and mechanisms for automatic derivation via mirrors or macros.
