How to force your code to use all CPU cores? In an efficient manner.

This page summarizes the projects mentioned and recommended in the original post on /r/Cplusplus
parallel-computing concurrent-programming Taskparallelism multicore-programming parallel-computation

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  • Lazy

    Light-weight header-only library for parallel function calls and continuations in C++ based on Eric Niebler's talk at CppCon 2019.

    • This header-only library might come in handy when experimenting with parallel functions. You can run any number of functions in parallel and gather the results conveniently. Take a look at the examples on the main page in Github and see if you find them useful.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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