whatisgithub

What is test-tlb?

torvalds/test-tlb — explained in plain English

Analysis updated 2026-07-18 · repo last pushed 2024-08-19

1,007CAudience · ops devopsComplexity · 3/5StaleSetup · moderate

In one sentence

A hacky benchmarking tool that measures your computer's real-world memory access speed and cache behavior, including TLB-miss effects, instead of relying on manufacturer specs.

Mindmap

mindmap
  root((test-tlb))
    What it does
      Times memory access
      Tests stride and random
      Scales from 4KB to 256MB
    Tech stack
      C
      Hugepages support
    Use cases
      Diagnose slow servers
      Tune memory-efficient code
      Compare hugepage impact
    Audience
      Computer engineers
      Sysadmins
      Hardware enthusiasts
    Tradeoffs
      Hardcoded values
      Needs per-machine tweaking

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

What do people build with it?

USE CASE 1

Measure your CPU's real memory cache latency at different access sizes instead of trusting spec sheets.

USE CASE 2

Diagnose why a server feels slow by spotting unexpected memory bottlenecks.

USE CASE 3

Compare performance with and without hugepages to isolate TLB-miss overhead.

USE CASE 4

Design memory-efficient code using actual latency numbers from your specific hardware.

What is it built with?

C

How does it compare?

torvalds/test-tlbpeng-zhihui/openheatjwasham/practice-c
Stars1,007994920
LanguageCCC
Last pushed2024-08-192024-01-29
MaintenanceStaleDormant
Setup difficultymoderatehardeasy
Complexity3/54/51/5
Audienceops devopsdeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Hardcoded values like CPU frequency and page size need manual tweaking per machine.

So what is it?

This is a tool that measures how fast your computer's memory system really is. Instead of relying on manufacturer specs, it actually runs tests on your machine to show you real-world memory access speeds and how efficiently your CPU's memory caches are working. When you run the program, it creates patterns of memory access, sometimes reading data in a predictable stride (like every 64 bytes), and sometimes jumping around randomly, and times how long those operations take. It does this across different memory sizes, starting tiny (4 kilobytes) and growing all the way to 256 megabytes. The goal is to see where your latency changes as you move beyond your CPU's fast caches into slower main memory, and to reveal quirks in how your specific hardware behaves. It can also test using larger "hugepages" if your system supports them, which helps isolate the effect of Translation Lookaside Buffer (TLB) misses, a performance problem that happens when the CPU's address-translation hardware gets overwhelmed. Computer engineers, system administrators, and hardware enthusiasts use this to understand their machine's true memory performance. If you're curious why a particular server feels slow, or you're designing code that needs to be memory-efficient, this tool shows you the actual numbers instead of guesses. It's especially useful for spotting unexpected bottlenecks: for instance, you might discover that your CPU cache works great up to a point, then hits a wall far sooner than you'd expect, or that using huge pages dramatically improves performance in ways standard benchmarks don't reveal. The README is candid about what this tool is: a quick hack with hardcoded values you'll likely need to tweak for your specific machine (CPU frequency, page size, cache line size, and memory size). Results can vary significantly depending on how your operating system maps virtual memory to physical RAM, so for real insights you should run it multiple times. It's not meant to give ultra-precise numbers, but rather to show you patterns and relative differences that tell a true story about your hardware's behavior.

Copy-paste prompts

Prompt 1
Show me how to build and run test-tlb on my machine and interpret the latency output.
Prompt 2
Help me tweak the hardcoded CPU frequency and page size values in test-tlb for my hardware.
Prompt 3
Explain how test-tlb's stride versus random memory access patterns reveal cache behavior.
Prompt 4
Walk me through enabling hugepages support in test-tlb to measure TLB-miss impact.
Prompt 5
Help me run test-tlb multiple times and interpret variance caused by virtual-to-physical memory mapping.

Frequently asked questions

What is test-tlb?

A hacky benchmarking tool that measures your computer's real-world memory access speed and cache behavior, including TLB-miss effects, instead of relying on manufacturer specs.

What language is test-tlb written in?

Mainly C. The stack also includes C.

Is test-tlb actively maintained?

Stale — no commits in 1-2 years (last push 2024-08-19).

How hard is test-tlb to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is test-tlb for?

Mainly ops devops.

Open on GitHub → Ask about another repo

This repo across BitVibe Labs

Verify against the repo before relying on details.