Garfield introduces the GMG index and GPU pipeline for multi-attribute RFANNS, achieving 4.4x smaller indexes and 119.8x higher throughput than existing approaches.
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AlayaLaser uses a SIMD-optimized on-disk graph layout plus caching and search strategies to outperform prior on-disk ANNS systems and match or exceed in-memory performance on large high-dimensional datasets.
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A GPU-Accelerated Framework for Multi-Attribute Range Filtered Approximate Nearest Neighbor Search
Garfield introduces the GMG index and GPU pipeline for multi-attribute RFANNS, achieving 4.4x smaller indexes and 119.8x higher throughput than existing approaches.
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AlayaLaser: Efficient Index Layout and Search Strategy for Large-scale High-dimensional Vector Similarity Search
AlayaLaser uses a SIMD-optimized on-disk graph layout plus caching and search strategies to outperform prior on-disk ANNS systems and match or exceed in-memory performance on large high-dimensional datasets.