GPU-Accelerated Cuckoo Filter Implementation Using CUDA
By
tdortman
If you only eat one bagel today, this is the bagel.
Summary
This article describes a GPU-accelerated Cuckoo Filter implementation using CUDA, developed as part of a thesis project. The library provides high-performance probabilistic data structure operations optimized for batch processing on NVIDIA GPUs, with benchmarks showing performance on GH200 hardware at 80% load factor. The implementation supports insertion, lookup, and deletion operations with configurable false positive rates.
Key quotes
· 4 pulledA high-performance CUDA implementation of the Cuckoo Filter data structure, developed as part of the thesis 'Design and Evaluation of a GPU-Accelerated Cuckoo Filter'.
This library provides a GPU-accelerated Cuckoo Filter implementation optimized for high-throughput batch operations.
Cuckoo Filters are space-efficient probabilistic data structures that support insertion, lookup, and deletion operations with a configurable false positive rate.
Benchmarks at 80% load factor on an NVIDIA GH200 (H100 HBM3, 3.4 TB/s).
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