SIMD vectorization

Sohu Tech Products

Jan 24, 2024 · Databases

Optimizing Database Expression Evaluation with JIT Technology Using Gandiva

The article explains how database expression evaluation—especially in WHERE and SELECT clauses—can be dramatically accelerated by replacing interpreted AST traversal with Just‑In‑Time compilation using Apache Gandiva, which leverages LLVM to generate SIMD‑optimized machine code for Arrow columnar data, and discusses extensions such as timestamp, array, higher‑order functions, and UDF support.

Apache ArrowApache GandivaDatabase Optimization

0 likes · 17 min read

Optimizing Database Expression Evaluation with JIT Technology Using Gandiva

Tencent Cloud Developer

Nov 2, 2022 · Fundamentals

C++ Performance Traps: Hidden Costs of Abstraction and Compiler Optimization Pitfalls

Modern C++ performance suffers when seemingly harmless abstractions—such as virtual functions, hidden copies, non‑trivial destructors, overused std::shared_ptr, type‑erasing wrappers, std::variant/optional, and std::async—prevent inlining and efficient memory use, while patterns like std::move on returns, hidden destructors in tail recursion, and branchy loops thwart NRVO, tail‑call, and auto‑vectorization optimizations.

Compiler OptimizationNRVOSIMD vectorization

0 likes · 16 min read

C++ Performance Traps: Hidden Costs of Abstraction and Compiler Optimization Pitfalls