HKD Kernel C Library Skips Redundant Computation to Deliver Massive Speedups

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A developer has released HKD Kernel, an open-source native C library designed to perform incremental computation by skipping operations whose inputs have not changed. The library targets workloads such as dependency graphs where large computations have already been evaluated and only sparse portions of the input are updated. Reproducible benchmarks in the project's GitHub repository show a mean speedup of roughly 18,000x compared to full recomputation, though the developer stresses this applies specifically to sparse-change workloads and not arbitrary programs. HKD Kernel runs entirely in user space and is not related to any operating system kernel. The project is available in a free community edition and a commercial business tier, with the developer actively seeking feedback on the C API and benchmark methodology.

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