Heap Allocation Overhead

Heap allocation overhead refers to the performance cost incurred when the system dynamically requests memory from the heap during runtime. In trading applications, this process can be slow and unpredictable, leading to variable execution times.

The overhead includes the time taken to find a suitable block of memory and the potential for memory fragmentation. Frequent heap allocations also trigger garbage collection, which further increases latency.

To avoid this, developers use techniques like stack allocation, memory pools, or pre-allocated buffers. Minimizing heap usage is a standard practice in low-latency systems development.

By keeping objects in predictable memory locations, the CPU can access them more efficiently. This contributes to the overall stability and speed of the matching engine.

It is a fundamental aspect of high-performance systems engineering.