Compact Parallel Hash Tables on the GPU
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-69766-1_16
Reference20 articles.
1. Alcantara, D.A., Volkov, V., Sengupta, S., Mitzenmacher, M., Owens, J.D., Amenta, N.: Building an efficient hash table on the GPU. In: GPU Computing Gems Jade Edition, pp. 39–53. Elsevier (2012)
2. Arbitman, Y., Naor, M., Segev, G.: Backyard cuckoo hashing: constant worst-case operations with a succinct representation. In: IEEE FOCS (2010)
3. Ashkiani, S., Farach-Colton, M., Owens, J.D.: A dynamic hash table for the GPU. In: IEEE IPDPS, pp. 419–429 (2018)
4. Awad, M.A., Ashkiani, S., Porumbescu, S.D., Farach-Colton, M., Owens, J.D.: Analyzing and implementing GPU hash tables. In: APOCS. SIAM (2023)
5. Azar, Y., Broder, A.Z., Karlin, A.R., Upfal, E.: Balanced allocations (extended abstract). In: STC, STOC 1994, pp. 593–602. ACM (1994)
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