24. Execution Statistics#
This table contains the latest execution statistics.
Document |
Modified |
Method |
Run Time (s) |
Status |
---|---|---|---|---|
2024-05-19 08:16 |
cache |
69.96 |
✅ |
|
2024-05-19 08:16 |
cache |
28.53 |
✅ |
|
2024-05-19 08:17 |
cache |
20.84 |
✅ |
|
2024-05-19 08:21 |
cache |
232.97 |
✅ |
|
2024-05-19 08:24 |
cache |
179.9 |
✅ |
|
2024-05-10 02:14 |
cache |
4.02 |
✅ |
|
2024-05-19 08:25 |
cache |
73.21 |
✅ |
|
2024-05-19 09:14 |
cache |
2972.1 |
✅ |
|
2024-05-19 09:15 |
cache |
26.49 |
✅ |
|
2024-05-19 09:15 |
cache |
14.33 |
✅ |
|
2024-05-19 09:16 |
cache |
24.03 |
✅ |
|
2024-05-19 09:16 |
cache |
20.46 |
✅ |
|
2024-05-19 09:16 |
cache |
18.59 |
✅ |
|
2024-05-10 02:42 |
cache |
16.03 |
✅ |
|
2024-05-19 09:19 |
cache |
163.97 |
✅ |
|
2024-05-19 09:19 |
cache |
20.86 |
✅ |
|
2024-05-19 09:20 |
cache |
55.83 |
✅ |
|
2024-05-19 09:21 |
cache |
21.02 |
✅ |
|
2024-05-19 09:21 |
cache |
56.04 |
✅ |
|
2024-05-19 09:22 |
cache |
6.76 |
✅ |
|
2024-05-10 02:48 |
cache |
4.32 |
✅ |
|
2024-05-10 02:14 |
cache |
4.02 |
✅ |
|
2024-05-19 09:24 |
cache |
158.07 |
✅ |
|
2024-05-10 02:14 |
cache |
4.02 |
✅ |
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
/opt/conda/envs/quantecon/lib/python3.11/pty.py:89: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.
pid, fd = os.forkpty()
Fri May 10 02:48:06 2024
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 470.182.03 Driver Version: 470.182.03 CUDA Version: 12.3 |
|-------------------------------+----------------------+----------------------+
| 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 38C P0 39W / 300W | 310MiB / 16160MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
+-----------------------------------------------------------------------------+