High Speed Hashing for Integers and Strings
Not on the map. Why?
Abstract (arXiv)
These notes describe the most efficient hash functions currently known for hashing integers and strings. These modern hash functions are often an order of magnitude faster than those presented in standard text books. They are also simpler to implement, and hence a clear win in practice, but their analysis is harder. Some of the most practical hash functions have only appeared in theory papers, and some of them requires combining results from different theory papers. The goal here is to combine the information in lecture-style notes that can be used by theoreticians and practitioners alike, thus making these practical fruits of theory more widely accessible.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 26 Apr 2015.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 0; 2025: 1; 2026: 1.
4 papers.
- 2022N-Grammer: Augmenting Transformers with latent n-gramscited by 13
- 2021On minimizers and convolutional filters: theoretical connections and applications to genome analysiscited by 0
- 2025Approximate SMT Counting Beyond Discrete Domainscited by 0
- 2026CIERA: Cross-Iteration Exponent Reuse for Lossless Allgather in Sharded MoE Trainingcited by 0
- 2026CIERA: Cross-Iteration Exponent Reuse for Lossless Allgather in Sharded MoE Training4 Sep 2026
- 2025Approximate SMT Counting Beyond Discrete Domains24 Jul 2025
- 2022N-Grammer: Augmenting Transformers with latent n-grams13 Jul 2022
- 2021On minimizers and convolutional filters: theoretical connections and applications to genome analysis9 Nov 2021