微软研究论文提出GPU加速方案，让分析数据库性能大幅提升，解决了标量函数瓶颈问题。
微软研究团队提出基于编译器的GPU加速方法，将分析数据库中的标量函数转换为高效GPU内核。该方法在保持原始语义的同时，显著提升了分析工作负载的性能。该研究针对分析数据库中数百个常成为查询瓶颈的标量函数进行了优化。
Honorable Mention: Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilatio...
Honorable Mention: Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization Analytical databases support hundreds of scalar functions that often become query bottlenecks. This work introduces a compiler-based approach that translates production database scalar functions into efficient GPU kernels while preserving their original semantics, enabling substantial performance gains for analytical workloads. msft.it/6014aTYVo 💬 0 🔄 1 ❤️ 1 👀 264 📊 1 ⚡