Low-Level Image Operator Performance Optimization

Overview

This project re-engineered compute-intensive image operators from a hardware perspective, focusing on how memory layout and instruction-level parallelism influence performance.

My contributions

• Optimized memory alignment and data access for cache locality.
• Used SIMD instruction sets to accelerate compute-intensive image operations.
• Achieved a 40×+ speedup over the project’s baseline implementation.

Areas & tools

• C / C++
• SIMD
• Cache locality