Developer releases C library claiming 18,000x speedup for sparse incremental computations

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A developer has published HKD Kernel, a C library designed to speed up large computations by recalculating only the portions of state affected by an input change, rather than reprocessing everything from scratch. Benchmarks shared on GitHub report a mean speedup of approximately 18,000x compared to full recomputation on highly sparse workloads. The developer emphasizes this figure applies specifically to scenarios where most previously computed state remains valid and is not a general performance claim. The reproducible benchmarks have been made publicly available so that other developers can independently verify or challenge the results. HKD Kernel is offered under a free community path as well as a $999-per-month Business license, though the developer says technical validation is currently the priority.

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