Nicheloom

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GPU Cuckoo Filter

faster queries than Blocked Bloom, with deletion

Details

External ID
46519771
Source
HN
Company
—
Product
GPU Cuckoo Filter
Website domain
github.com
Launched
Jan. 6, 2026
Cohort
—
Upvotes
32
Upvotes percentile
0.7259552042160737
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Enrichment

Theme
gpu compute and acceleration tools
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
gpu-accelerated cuckoo filter with deletion
Manually corrected
False

Could you build this?

No Writing a high-performance GPU Cuckoo Filter requires deep expertise in CUDA/HIP programming, GPU memory hierarchy optimization, warp-level primitives, and concurrent hashing algorithms.

What it would actually take: Requires implementing parallel cuckoo hashing with concurrent kick-out resolution on GPU architectures using CUDA or OpenCL. The critical challenges include handling memory divergence, ensuring coalesced global memory access, managing lock-free atomic swaps during eviction chains, and optimizing shared memory/register usage to outperform blocked Bloom filters.

Discussion

4 comments analyzed.

Competitors mentioned: CPU Cuckoo Filter

Concerns raised: PCIe bus bottleneck for non-GPU-resident data, GPU communication bottleneck with multi-GPU setups, Performance degradation with massive datasets

Feature requests: Include false positive rate in performance comparison with equal memory usage

Competitors

Other products that read as similar to this one — 905 launches clear the similarity bar, closest 8 shown.

Attention rank: #236 of 906 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 69 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a model & infra tool for Fintech yet.