18. Execution Statistics#
This table contains the latest execution statistics.
Document |
Modified |
Method |
Run Time (s) |
Status |
---|---|---|---|---|
2023-09-22 00:25 |
cache |
58.99 |
✅ |
|
2023-09-22 00:26 |
cache |
34.68 |
✅ |
|
2023-09-22 00:26 |
cache |
22.54 |
✅ |
|
2023-09-22 00:27 |
cache |
72.86 |
✅ |
|
2023-09-22 00:28 |
cache |
1.43 |
✅ |
|
2023-09-22 00:34 |
cache |
412.11 |
✅ |
|
2023-09-22 00:35 |
cache |
36.47 |
✅ |
|
2023-09-22 00:36 |
cache |
35.71 |
✅ |
|
2023-09-22 00:36 |
cache |
23.84 |
✅ |
|
2023-09-22 00:36 |
cache |
19.58 |
✅ |
|
2023-09-22 00:39 |
cache |
164.08 |
✅ |
|
2023-09-22 00:40 |
cache |
39.98 |
✅ |
|
2023-09-22 00:40 |
cache |
24.8 |
✅ |
|
2023-09-22 00:40 |
cache |
11.02 |
✅ |
|
2023-09-22 00:40 |
cache |
4.09 |
✅ |
|
2023-09-22 00:28 |
cache |
1.43 |
✅ |
|
2023-09-22 00:41 |
cache |
35.03 |
✅ |
|
2023-09-22 00:28 |
cache |
1.43 |
✅ |
These lectures are built on linux
instances through github actions
and amazon web services (aws)
to
enable access to a gpu
. These lectures are built on a p3.2xlarge
that has access to 8 vcpu's
, a V100 NVIDIA Tesla GPU
, and 61 Gb
of memory.
You can check the backend used by JAX using:
import jax
# Check if JAX is using GPU
print(f"JAX backend: {jax.devices()[0].platform}")
JAX backend: gpu
and the hardware we are running on:
!nvidia-smi
Fri Sep 22 00:40:52 2023
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 470.182.03 Driver Version: 470.182.03 CUDA Version: 12.1 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 Tesla V100-SXM2... Off | 00000000:00:1E.0 Off | 0 |
| N/A 30C P0 38W / 300W | 310MiB / 16160MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
+-----------------------------------------------------------------------------+