async-operations

Asynchronous USD loading can be handled using enqueue-based operations like open_usd_async with non-blocking polling. This pattern allows long-running tasks to execute without blocking user interactions, supporting progress reporting and two-stage result fetching.

Timeouts and polling for long-running C++ operations are implemented using defined API usage patterns for non-blocking workflows. These patterns provide precise lifecycle semantics, allowing you to poll operation status and fetch results in two stages across rendering pipelines.

Yes, step and attribute write operations can be executed asynchronously in Python. The Skill defines patterns for enqueueing these operations, using blocking waits or non-blocking polls to manage progress reporting and fetch results safely.

Progress reporting is fully supported for parallel task orchestration in real-time simulations. The async operation patterns provide lifecycle semantics and safety considerations to monitor long-running tasks across USD loading and rendering pipelines.

Use blocking waits when you need to pause execution until a task completes, and non-blocking polls when you must maintain user interaction responsiveness. The Skill defines precise API usage patterns and safety considerations for both approaches.

Two-stage result fetching requires careful error handling and lifecycle management to avoid race conditions. The Skill defines safety considerations and precise API usage patterns to ensure robust, production-grade asynchronous workflows across USD and rendering pipelines.