A user account is required in order to edit this wiki, but we've had to disable public user registrations due to spam.

To request an account, ask an autoconfirmed user on Chat (such as one of these permanent autoconfirmed members).

Navigator HW Concurrency

From WHATWG Wiki
Jump to navigation Jump to search

Proposed navigator.cores API for efficient Worker allocation in parallel applications


This specification defines an API for reading the system's total number of user-accessible logical processors.

The intended use for the API is to help developers appropriately size their worker threadpools for the user's system in order to perform CPU-intensive parallel algorithms.

Developers can easily take advantage of this API by replacing code that does threads = X with threads = navigator.cores || X. This allows transparent fallback in browsers that don't implement this feature.

Currently, highly parallel algorithms must prompt the user for how many cores they have, but many users don't know this information or understand where to get it. Giving users control over thread count can also cause issues where the user thinks the highest option is best. For example, this can result in 32 threads being run on a user's dual core laptop.

Example use cases

  • Physics engines for WebGL games: Many physics engines are highly parallelizable, but currently there is no method to determine how many threads to use. Games with optional cosmetic (not affecting gameplay) physics can also use navigator.cores to detect systems with too few cores and disable cosmetic physics by default.
  • Using xz (LZMA2) in JavaScript to compress data before saving to disk (with <a download>) without having to prompt the user for their core count.
  • Running realtime object/face/movement/etc. detection algorithms on webcam input or video file input, without prompting the user for their core count.
  • Image processing in online photo editors is highly parallelizable but often hardcoded to a specific worker count. For example, this recent blog post on image processing in JavaScript suggests hardcoding the worker count to 4. All the author has to do to is replace the 4 with navigator.cores || 4 to increase performance in computers with more cores (such as their own computer).
  • Multithreaded silent OCR: A current attempt at automatic silent OCR is http://projectnaptha.com/ (single-threaded). If Project Naptha is ever going to use the multithreaded Ocrad mode, they must currently prompt the user for a core count. This defeats the purpose of a silent background processing script by interrupting the user with a prompt.



[NoInterfaceObject, Exposed=Window,Worker]
interface NavigatorCores {
    readonly attribute unsigned long cores;

Privacy concerns

System core count is public information as it is already accessible with the polyfill in the appendix. If you believe core count is a privacy leak, then the only solution is to completely remove web worker threads from the specification, as a timing attack on threadpool performance will always be possible otherwise.


An O(log n) (in the number of cores) polyfill in JavaScript can be found at:


The polyfill works by running a timing attack on the measured runtime of a worker threadpool that is resized according to a binary search and statistical analysis results until performance no longer increases with the number of threads.