mapping-attributes

Zero-copy memory mapping for ovrtx attributes is enabled by mapping target attributes directly into user memory, allowing you to write updates to the mapped tensor and unmap to apply changes without intermediate copies.

Zero-copy attribute mapping provides direct memory access to CPU or GPU buffers. Use this technique for per-frame updates in real-time simulations where latency and bandwidth are critical, such as updating transforms or sensor data.

Yes, mapping ovrtx attributes requires knowledge of attribute properties including dtype, shape, and semantics. You also need a supported mapping target and must ensure proper synchronization during map and unmap cycles.

The best way to update simulation transforms with minimal latency is using zero-copy attribute mapping. Map the target attribute into memory, write transform updates directly to the mapped tensor, and unmap to apply changes per frame.

The main limitation during attribute mapping is the requirement for proper synchronization during map and unmap cycles. Failing to synchronize memory access correctly can lead to data corruption or inconsistent simulation states.