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Introduction to Sender/Receiver Framework in C++

• 0:00:04 Introduction: The talk introduces the sender/receiver framework in C++, emphasizing its importance in the adtech industry and asynchronous computations.

• 0:01:41 Disclaimers: The presentation is introductory, assuming no prior knowledge of senders/receivers, but requires some C++ background due to code examples. Cancellation is explicitly out of scope.

• 0:02:37 Multithreading vs. Concurrency vs. Parallelism: The presentation clarifies the differences: multithreading is not the same as concurrency or parallelism. Concurrency is about application behavior; parallelism is about raw execution on hardware.

• 0:05:48 Concurrency: Involves managing the order of operations with stronger scheduling requirements to ensure forward progress.

• 0:06:17 Parallelism: It is a weaker form, focusing on executing tasks simultaneously without strict ordering guarantees.

• 0:06:30 C++11 Primitives: C++11 introduced multithreading primitives (threads, mutexes, etc.), but these are now considered "raw" and ideally should be abstracted away.

• 0:08:48 Modern Proposals: Mentions key proposals like Networking TS, Unified Executors, and std::execution (accepted for C++26), aiming to improve asynchronous programming.

• 0:10:26 Defining Senders and Receivers: Senders and receivers, from std::execution, offer a higher-level abstraction for asynchronous operations.

• 0:10:42 Example: Traditional Asynchronous Computation: Shows a basic example using std::promise and std::future to illustrate a typical asynchronous operation.

• 0:11:53 Example: Chain Continuations: Illustrates how to perform consecutive operations using the boost method.

• 0:13:31 Avoiding Type Erasure: Uses templates to avoid type erasure when chaining continuations.

• 0:15:17 Lazy Future: Introduces the concept of a lazy future, where computation starts only when needed, avoiding immediate thread creation.

• 0:16:30 Example: Creating a Lazy Future: Demonstrates how to create a lazy future by returning a function that accepts a promise.

• 0:16:34 The then Algorithm: The then algorithm (similar to a method) chains continuations in a lazy evaluation context.

• 0:18:50 The sync_wait Algorithm: sync_wait provides a way to block and wait for the result of a chain of lazy futures, dealing with the underlying synchronization primitives.

• 0:20:45 sync_wait state example provides details of the shared state used by the promise, and that this communication sets the data and wakes the thread, resolving in unblocking the sync_wait.

• 0:23:02 Abstracting Thread Creation: Further refactors the example to abstract away thread creation, separating computation from execution concerns.

• 0:24:36 Advantages: Using senders and receivers avoids allocations (unlike std::future), prevents synchronization issues, and enables thinking in terms of generic algorithms.

• 0:25:36 Mascot: Proposes tardigrades as a potential new mascot for C++, given their resilience.

• 0:26:51 std::execution Deep Dive: std::execution provides a self-contained framework for managing asynchronous execution on generic execution resources (CPUs, GPUs, etc.).

• 0:29:41 Key Concepts:

  • Schedulers: Lightweight handles representing execution strategies.
  • Senders: Represent units of work (computations or data).
  • Receivers: Callbacks with three methods: set_value, set_error, and set_stopped.

• 0:31:39 Hello World Example: Shows a basic example using a thread pool, scheduler, and then algorithm to schedule and execute a task.

• 0:33:22 Parallel Execution Example: Demonstrates executing multiple tasks in parallel using schedule and when_all.

• 0:35:01 Dynamic Execution Graph: Explains how to create dynamic execution graphs that can branch at runtime based on values, using let_value.

• 0:36:32 Minimal Control Flow API: Highlights essential algorithms: just (lifts values), then (chains), let_value (dynamic branching), and on (specifies execution context).

• 0:38:38 Related concepts: sender/receiver concepts are similar to continuation passing style and monads.

• 0:40:23 Interoperability with Existing Code: Discusses how to integrate std::execution with existing code by satisfying sender/receiver concepts.

• 0:41:54 Implementing just Sender: Provides a detailed code example of implementing a just sender, showing how to satisfy concepts and connect a receiver.

• 0:47:31 Implementing then Sender: Shows how to implement a then sender, including handling completion signatures and connecting a receiver.

• 0:49:59 Example: Simplest Receiver: Demonstrates a basic receiver implementation.

• 0:50:26 Full Working Example (Godbolt): Provides a link to a complete, runnable example on Godbolt, showcasing the concepts.

• 0:50:54 Connection to Coroutines: Explains that senders/receivers are compatible with coroutines, with awaitables mapping to senders.

• 0:52:36 C++26 and Library Support: Senders/receivers are expected in C++26, with hopes for extensive library support to avoid the issues faced by coroutines.

• 0:53:36: Q&A Highlights how Sender/Receiver frameworks separate computation from execution, reducing overhead.

• 0:58:31 Main Motivation: Emphasizes the separation of concerns, reducing mental overhead and promoting a declarative programming style for asynchronous operations.

• 1:01:01 C++ Ranges: Makes a direct comparison to the adoption challenges of C++ ranges.