fbcouto opened a new issue, #9998: URL: https://github.com/apache/arrow-rs/issues/9998
Hi Arrow maintainers, I am sharing a research-driven sorting engine implementation written in Rust, which focuses on minimizing the synchronization cost of parallel sorting in buffer-heavy workloads—a core challenge within the Arrow ecosystem. The engine implements two key innovations: Adaptive Oscillation Heuristic: An entropy-based sampling strategy that dynamically switches between sequential insertion sort and parallel work-stealing merge paths based on real-time data distribution analysis. Bidirectional (Convergent) Merging: A strategy that processes data from buffer edges towards the center. This approach significantly improves cache-line utilization and reduces total memory traffic compared to unidirectional merge patterns. By utilizing a zero-copy approach, this engine achieves up to 38x speedups on high-entropy (random) datasets compared to standard managed-runtime implementations. I am presenting this as a proposal for the Arrow compute module's sorting path. I am eager to get feedback from the maintainers regarding how such entropy-aware heuristics could potentially align with the current arrow-rs sorting implementation, particularly concerning compatibility with existing Array layouts. Project details & Benchmarks: [[Adaptive Parallel Multimerge Sort in Rust](https://github.com/fbcouto/adaptive-parallel-multimerge-sort)] Technical Deep Dive: (https://medium.com/p/f2b3e4743e3e?postPublishedType=initial) I look forward to your insights on the feasibility of integrating these adaptive sorting paradigms. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
