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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.
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.
Code generation is one of the most promising applications of large language models (LLMs), offering substantial productivity boosts for developers. However, this benefit is tempered by serious concerns surrounding the correctness and security of the generated code - especially outside the happy path.
In this talk, we will walk through a concrete example of a boilerplate-heavy domain. By replacing common Scala 2 workarounds with Opaque Types, Extension Methods, Enums, and Union Types, we will demonstrate how to achieve a strictly typed, decoupled architecture without the noise.
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.
