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deepmind.google·6d ago
AI Engineering
Hacker News·28d ago·5 min read
A new runtime for k and q: l
TL;DR
A new runtime called 'l' has been developed for the k and q programming languages, designed to operate on modern hardware. It utilizes compressed vectors and SIMD (Single Instruction, Multiple Data) to enhance performance by minimizing data movement.
✦ Why It Matters
Engineers can adopt the 'l' runtime to enhance the performance of their existing k and q applications without rewriting code.
Key Takeaways
- Explore the 'l' runtime for improved performance in k and q applications.
- Utilize compressed vectors to minimize data movement in your code.
- Leverage SIMD for parallel processing to enhance execution speed.
- Run existing k4, q, and qSQL code unchanged on the new engine.
Full Summary
The k and q programming languages have traditionally focused on vectors as the primary data structure. The newly introduced runtime, 'l', maintains this approach but optimizes execution by using compressed vectors, allowing operations to be performed directly on encoded data without reconstructing full arrays.
This method leverages modern hardware capabilities, such as SIMD, to execute multiple operations simultaneously, significantly reducing the amount of data that needs to be moved. By keeping the syntax and idioms of k4, q, and qSQL intact, developers can seamlessly transition to this new engine.
The implications of this development are substantial, as it addresses the bandwidth limitations of contemporary hardware, enabling faster data processing. Overall, 'l' enhances the performance of existing applications without requiring code modifications.