Comments (6)
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
from chai.
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.
from chai.
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.
from chai.
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
from chai.
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).
from chai.
Ok thank you very much
from chai.
Related Issues (16)
- Error : Operation not supported HOT 1
- Larger input sets HOT 5
- TRNS CPU GPU HOT 5
- GPU+nCPU HOT 9
- Timer problem in CEDD HOT 2
- Request for input files HOT 6
- CEDD issue HOT 6
- CUDA-U Synchronization Deadlock for BFS HOT 14
- memory placement consideration for PAD HOT 3
- Update for CEDT HOT 1
- result mismatch in BFS HOT 3
- Using matrix market format for bfs
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