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Black or white? how to develop an autotuner for memory- based analytics

4 Pith papers cite this work. Polarity classification is still indexing.

4 Pith papers citing it

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2026 4

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UNVERDICTED 4

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representative citing papers

A Case for Agentic Tuning: From Documentation to Action in PostgreSQL

cs.SE · 2026-05-19 · unverdicted · novelty 7.0

PerfEvolve equips LLM agents with executable skills from expert methods to enable dynamic, version-consistent, workload-specific tuning in PostgreSQL, outperforming documentation baselines by up to 35.2% on TPC-C and TPC-H.

FliX: Flipped-Indexing for Scalable GPU Queries and Updates

cs.DB · 2026-04-17 · unverdicted · novelty 7.0

FliX flips the indexing paradigm by mapping GPU compute to data buckets and using batch binary search, delivering up to 6.5x lower query latency and 4x better throughput per memory than leading GPU B-trees and LSM-trees.

Accelerating Presto with GPUs

cs.DB · 2026-06-23 · unverdicted · novelty 4.0

Presto is extended to GPU-aware execution using cuDF experiments on TPC-H, delivering up to 6x cost/performance gains over CPU Presto via optimized data paths and inter-operator communication.

citing papers explorer

Showing 4 of 4 citing papers after filters.

  • A Case for Agentic Tuning: From Documentation to Action in PostgreSQL cs.SE · 2026-05-19 · unverdicted · none · ref 23

    PerfEvolve equips LLM agents with executable skills from expert methods to enable dynamic, version-consistent, workload-specific tuning in PostgreSQL, outperforming documentation baselines by up to 35.2% on TPC-C and TPC-H.

  • FliX: Flipped-Indexing for Scalable GPU Queries and Updates cs.DB · 2026-04-17 · unverdicted · none · ref 19

    FliX flips the indexing paradigm by mapping GPU compute to data buckets and using batch binary search, delivering up to 6.5x lower query latency and 4x better throughput per memory than leading GPU B-trees and LSM-trees.

  • GS-NFS: Bandwidth-adaptive Streaming of Dynamic Gaussian Splats and Point Clouds cs.MM · 2026-06-04 · unverdicted · none · ref 37

    GS-NFS accelerates dynamic 3DGS encoding and decoding by 1-2 orders of magnitude on GPU while maintaining competitive compression ratios and rendering quality.

  • Accelerating Presto with GPUs cs.DB · 2026-06-23 · unverdicted · none · ref 22

    Presto is extended to GPU-aware execution using cuDF experiments on TPC-H, delivering up to 6x cost/performance gains over CPU Presto via optimized data paths and inter-operator communication.