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el1goluj avatar el1goluj commented on August 30, 2024

Hi Trinayan,

CUDA-D runs on every NVIDIA GPU (c.c.>=2.0) and CUDA version (tested on CUDA 7.5). For CUDA-U, you will need NVIDIA Pascal and CUDA 8.0.

Best regards,
Juan

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trinayan avatar trinayan commented on August 30, 2024

Thanks for that. Just wondering about the performance metrics which is shown at the end. Is the kernel time the sum of executions on both devices or only on the gpu? I think it is both device from the code but just wanted to confirm.

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el1goluj avatar el1goluj commented on August 30, 2024

The kernel time measurements in our ISPASS paper include CPU and GPU execution. Keep in mind that the execution on both devices is concurrent.
If you have more specific questions, please let us know.

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trinayan avatar trinayan commented on August 30, 2024

Thanks a lot. I wanted to know about the default partitioning options in each benchmark. Did you like try different options and made the ones which gave the best performance as default or was it based on other decision? Thank you

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lchang20 avatar lchang20 commented on August 30, 2024

The default partitioning option (-a, and default as 0.2) for data partitioning benchmarks are NOT the ones giving the best performance. It is arbitrarily preset to a reasonable value for one internal device. The benchmarks are written to evaluate multiple devices, so different data sets, languages, or devices might have different best partitions. To find the best, you can either sample different values, or enable dynamic partitioning (by giving "-a" a value not between 0.0 and 1.0).

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trinayan avatar trinayan commented on August 30, 2024

Ok thank you very much

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