WDRshadow commented on PR #2050:
URL: https://github.com/apache/systemds/pull/2050#issuecomment-2241065765
@phaniarnab We have implemented test cases based on `EfficientNet`. Each
test contains exactly the same training procedure. Parfor-based forward tests
are performed using random datasets with the same seed. The number of datasets
ranges from `10k` to `500k`. The results using single and dual GPUs are shown
below:
| test_id | num_interation | 1_gpu_exec_time_sec |
2_gpu_exec_time_sec |
|:---------------------|-----------------:|----------------------:|----------------------:|
| test01_gpuTest_10k | 10000 | 11.723 |
11.189 |
| test01_gpuTest_20k | 20000 | 13.714 |
12.866 |
| test01_gpuTest_50k | 50000 | 19.755 |
15.616 |
| test01_gpuTest_100k | 100000 | 29.141 |
23.026 |
| test01_gpuTest_200k | 200000 | 49.409 |
37.987 |
| test01_gpuTest_500k | 500000 | 108.874 |
77.917 |
Test environment:
- CPU: `24 vCPU Intel(R) Xeon(R) Platinum 8255C CPU @ 2.50GHz`
- GPU: `RTX2080Ti` * 2
- RAM: `80G`
- OS: `Ubuntu 18.04`
- CUDA: `10.2`
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