This visual model shows how hidden cache and memory behavior becomes visible through Linux diagnostic tools.
Running Program
|
v
Memory Accesses
|
v
┌─────────────────────┐
│ CPU Hardware │
│ Counters │
└─────────────────────┘
|
v
perf stat
|
v
┌────────────────────────────────────────┐
│ Observable Measurements │
│ │
│ cache-references │
│ cache-misses │
│ page-faults │
│ branch-misses │
│ cycles │
│ instructions │
└────────────────────────────────────────┘
|
v
Performance Clues
|
v
┌────────────────────────────────────────┐
│ Is the program waiting on memory? │
│ Is cache locality poor? │
│ Are page faults involved? │
│ Is the CPU busy or stalled? │
└────────────────────────────────────────┘
The program itself does not directly tell you whether cache behavior is good or bad. Instead, the CPU records low-level activity in hardware counters.
Tools such as perf stat read those counters and expose clues such as
cache references, cache misses, page faults, cycles, and instructions.
Those measurements help you reason about whether a performance problem is caused by computation, memory access, cache misses, page faults, or another part of the execution path.