In my last post "Starting Jobs with Coroutines", I applied co_await to start a job. In this post, I improve the workflow and automatically resume a job if necessary. In my final step, I resume the job on a separate thread.
C++20 has three new keywords to make a coroutine out of a function: co_return, co_yield, and co_await. co_await requires an Awaitable as arguments and starts the Awaiter workflow. Let me show in this post, what that means.
In my last post in this mini-series to coroutines from the practical perspective, I presented the workflow of "An Infinite Data Stream with Coroutines in C++20". In this post, I use the generic potential of the data stream.
In this post, I analyze the new keyword co_yield. Thanks to co_yield, you can create an infinite data stream in C++20.
This post concludes my posts about co_return in C++20. I started with an eager future, continued with a lazy future. Today, I execute the future in a separate thread using coroutines as an implementation detail.
Based on the coroutines-based implementation of a simple future in my last post "Implementing Simple Futures with Coroutines", I want to go today one big step further. I analyze the workflow of the simple future and make it lazy.
Instead of return, a coroutine uses co_return returning its result. In this post, I want to implement a simple coroutine using co_return.
This post is the third and final post in my miniseries to cppcoro. cppcoro is a library of coroutine abstractions from Lewis Baker. Today, I introduce thread pools.
I gave in my last post "C++20: Coroutines with cppcoro", a basic introduction to the coroutines library from Lewis Baker. This introduction covered the elementary coroutines task and generator. Today, I add threads to tasks and get powerful abstractions.
The cppcoro library from Lewis Baker gives you what C++20 doesn't give you: a library of C++ coroutine abstractions based on the coroutines TS.
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