dispatch_async from Grand Central Dispatch and stdasync from C11
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Overview
In the world of concurrent programming, both Apple's Grand Central Dispatch (GCD) and C++11's Standard Library offer high-level abstractions to manage asynchronous tasks. GCD's dispatch_async() introduces concurrency in Objective-C and Swift, while C++11's std::async provides a similar functionality in C++. This article explores these two methods, comparing their features, and illustrating their usage through examples.
Grand Central Dispatch and dispatch_async()
Technical Explanation
Grand Central Dispatch is a technology developed by Apple to optimize application support for multi-core processors and other symmetric multiprocessing systems. At its core, GCD provides a pool of threads and allows you to dispatch tasks to run asynchronously. One of its fundamental functions is dispatch_async().
dispatch_async() is the cornerstone for queuing tasks that should be executed asynchronously. It takes a dispatch queue and a block (a self-contained piece of code to be executed) as parameters.
Example Usage
Here's a simple usage of dispatch_async() in Objective-C:
- Queues: GCD differentiates between serial and concurrent queues. Tasks queued on a concurrent queue may be executed simultaneously by different threads.
- Efficiency: GCD manages the creation and lifecycle of threads, leveraging system-level optimizations.
- Block-Based: Specifically designed to work with blocks in Objective-C and Swift, offering a clean syntax for task definition.
- Task-Based: Allows functions to be run asynchronously. Functions can return values which can be accessed via
std::future. - Launch Policies:
std::asynccan be instructed to run tasks either asynchronously or deferred, allowing greater control. - Exception Handling: Provides mechanisms to propagate exceptions from asynchronous tasks to the launching thread.
- Task Granularity: Ensure the tasks you dispatch or execute asynchronously are sufficiently intensive to benefit from parallel execution. Overhead from context switching should not dwarf the task execution time.
- Resource Management: Always be cautious about shared resource management, such as locking shared data for thread safety.
- Platform-Specific Needs: If developing for Apple's ecosystem, GCD offers platform-tailored optimizations. Conversely,
std::asyncis preferable for cross-platform C++ projects. - Development Familiarity: Choose based on language expertise and existing codebase, bearing in mind future maintenance.
Related reading
- Dispatcher.CurrentDispatcher vs. Application.Current.Dispatcher
- Dispatcher.Invoke 'hangs' during asynchronous read in Windows Service
- Distributed database synchronization
- Distributed lock - Two nodes believing to have a token after process pause
- Distributed Lock - Using fencing token for preventing concurrent writes to a network file
- Distributed lock with TTL
- Distributed nodes to sync data without a single point of failure
- Distributed Systems - Events Consumption | Sync Problem
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