Work

Krapivin-Block-Tracker

Year: 2026

Type: article

Abstract: We present the Krapivin-Block-Tracker (KBT), a hybrid data structure combining Elastic Hashing / Funnel Hashing (Farach-Colton, Krapivin, Kuszmaul 2025,arXiv:2501.02305) with a compact hysteresis tracker in L1-cache. The tracker eliminates unnecessary probes into overfull blocks and reduces tracker update frequency by up to 307,838× compared to a single-bit marker. Probe cost with the tracker is exactly 1.00 per insertion across all tested regimes. The analytically derived critical point δ* = 0.20, at which the hysteresis gain collapses, is confirmed by simulation. Includes Python simulation scripts and chart generation code.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.20736936

Author: Idén, Patrik

Language: English

Topic: Algorithms and Data Compression

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7165047965

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