Infrastructure●●●Banger
cuSBF – Faster GPU Bloom Filter for Sequence Data
92× faster than CPU Super Bloom with minimizer-based shard selection.
WizardryNiche Gem
tdortman
2022d ago
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High-Performance GPU Super Bloom Filter
2 starsCuda
cuSBF – faster Bloom filter on GPUs for DNA sequences
by tdortman·Jun 14, 2026·2 points·0 comments
AI Analysis
●●SolidWizardryNiche Gem
92× faster insert and 234× faster query than CPU Super Bloom on GPU.
Strengths
- •Minimizer-based sharding groups k-mers into 256-bit memory shards for cache efficiency.
- •Findere scheme dramatically reduces false positives via overlapping s-mer matching.
- •Header-only library design with FASTA/FASTQ streaming support built in.
Weaknesses
- •Extremely narrow audience: only useful for GPU-equipped bioinformatics pipelines.
- •Requires NVIDIA GPU and CUDA setup, limiting accessibility.
Category
Target Audience
Bioinformatics researchers working with large-scale sequence data
Similar To
Super Bloom · cuCollections · GQF
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