cangjie-concurrency

To create and synchronize threads in Cangjie, use the spawn function to start a thread and a Mutex to ensure safe access to shared data. This approach prevents race conditions in concurrent workflows.

The M:N threading model in Cangjie maps multiple user-level threads onto fewer kernel threads. Use this model to efficiently manage large numbers of concurrent tasks without excessive kernel overhead.

Use Future in Cangjie to handle asynchronous results and Condition variables to pause and resume threads based on shared state changes. Together they coordinate complex concurrent workflows and lifecycle management.

Yes, Cangjie supports atomic operations for lock-free memory ordering and ThreadLocal storage to isolate per-thread data. These features ensure safe state management without explicit locking overhead.

Synchronized blocks in Cangjie enforce strict locking semantics to serialize access to critical sections. They establish memory ordering guarantees, ensuring thread-safe visibility of shared variables.

Yes, Cangjie provides a cancellation model to gracefully terminate concurrent tasks and a SyncCounter to coordinate thread completion. These primitives manage complex thread lifecycles and safe task termination.