Krapivin-Block-Tracker

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.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-17
DOI
https://doi.org/10.5281/zenodo.20736937
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Krapivin-Block-Tracker

Patrik Idén
Zenodo (CERN European Organization for Nuclear Research)
Parallel Computing and Optimization Techniques
article

Krapivin-Block-Tracker

Patrik Idén
article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 6%
Parallel Computing and Optimization Techniques
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Krapivin-Block-Tracker — Patrik Idén · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS