Hi everyone,

I’m currently working on a project that involves using CData data connectors with Intel Arc graphics cards. I want to ensure that I’m getting the best performance and efficiency out of this setup. Could anyone share best practices for optimizing CData data connectors specifically when using Intel Arc GPUs?

Best Practices:

1. Update Drivers: Ensure that both Intel Arc drivers and CData connectors are up to date to benefit from the latest performance improvements and bug fixes.
2. Adjust Connection Settings: Configure CData data connectors to utilize multi-threading options if available. This can enhance performance, especially with the parallel processing capabilities of Intel Arc GPUs.
3. Monitor GPU Usage: Use Intel's performance monitoring tools to check if the GPU is being fully utilized. Adjust settings in CData to match the GPU’s performance profile.
4. Optimize Data Queries: Design efficient queries and avoid over-fetching data to reduce processing load. This helps in balancing the GPU workload effectively.
5. Benchmark Performance: Regularly benchmark the performance of your setup to identify any bottlenecks and adjust configurations as needed.

Feel free to share any additional tips or experiences!

Thanks!