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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.
Protobuf is commonly associated with code generation. However, in large projects with tens of thousands of message definitions, this approach can lead to an overwhelming amount of generated code. In this talk, I’ll share my journey in search of a different approach to this problem.
Writing client-facing APIs involves mundane tasks, whether it be REST, GraphQL, or gRPC. In this talk, I will pick two repetitive tasks during API development and demonstrate how we can utilize Scala to automate the most boring parts.
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, we will refactor a real-world service using Extensions, Union Types, and Context Functions, demonstrating how to achieve a strictly typed, decoupled architecture that remains easy to read and evolve.
This talk will explore the use of Scala as a scripting language, replacing the Bash and Python scripts common throughout the industry.
