Futhark by Example offers developers a practical introduction to Futhark, a functional programming language optimized for high-performance parallel computing on GPUs. The collection features progressively complex, commented programs covering everything from basic factorial functions to advanced parallel algorithms. Each example can be loaded directly into the interpreter for hands-on experimentation.

The guide spans fundamental concepts like arrays, type ascriptions, and basic parallelism through sophisticated topics including automatic differentiation, ray tracing, and Kahan summation. Advanced sections explore parametric polymorphism, in-place updates, and complex data structures. Examples ported from Dex demonstrate how Futhark handles dependently typed functional array processing differently.

Real-world applications showcase Futhark's practical value, including Neptune for Filecoin's Poseidon hash function and Futcam for GPU-accelerated webcam filter processing. Projects like ray tracers, fractal generators, and particle simulators prove Futhark's suitability for compute-intensive tasks. The language excels where traditional approaches struggle with parallel execution optimization.

Developers seeking efficient GPU programming without CUDA's complexity should explore this resource. Futhark's array-focused design and compiler optimizations make it compelling for scientific computing and graphics applications where performance matters.