Memory optimizations to reduce CPU costs
8 months ago
- #memory-optimization
- #garbage-collection
- #performance
- Memory optimization techniques can significantly reduce CPU costs by restructuring data storage.
- Splitting data into individual arrays (Fields, Positions, Lengths) saves memory by eliminating padding costs.
- Using field name indexes (byte[] FieldIndexes) instead of string references further reduces memory usage.
- Unexpected CPU usage drop occurs because the garbage collector (GC) doesn't need to traverse byte arrays, unlike string arrays.
- GC efficiency improves as it doesn't have to mark or verify references in byte arrays, reducing overhead.
- Potential CPU cache benefits from fitting more byte values into cache lines, though the primary gain is from reduced GC work.