24. Execution Statistics#
This table contains the latest execution statistics.
Document |
Modified |
Method |
Run Time (s) |
Status |
---|---|---|---|---|
2024-04-11 21:57 |
cache |
67.88 |
✅ |
|
2024-04-11 21:57 |
cache |
28.02 |
✅ |
|
2024-04-11 21:58 |
cache |
18.82 |
✅ |
|
2024-04-11 22:01 |
cache |
217.76 |
✅ |
|
2024-04-11 22:04 |
cache |
179.8 |
✅ |
|
2024-04-11 22:04 |
cache |
1.17 |
✅ |
|
2024-04-11 22:05 |
cache |
69.69 |
✅ |
|
2024-04-11 22:30 |
cache |
1456.09 |
✅ |
|
2024-04-11 22:30 |
cache |
24.87 |
✅ |
|
2024-04-11 22:30 |
cache |
12.75 |
✅ |
|
2024-04-11 22:31 |
cache |
19.92 |
✅ |
|
2024-04-11 22:31 |
cache |
19.94 |
✅ |
|
2024-04-11 22:31 |
cache |
17.45 |
✅ |
|
2024-04-11 22:32 |
cache |
15.02 |
✅ |
|
2024-04-11 22:34 |
cache |
158.98 |
✅ |
|
2024-04-11 22:34 |
cache |
18.02 |
✅ |
|
2024-04-11 22:35 |
cache |
34.09 |
✅ |
|
2024-04-11 22:35 |
cache |
17.48 |
✅ |
|
2024-04-18 07:24 |
cache |
46.23 |
✅ |
|
2024-04-11 22:36 |
cache |
6.54 |
✅ |
|
2024-04-11 22:36 |
cache |
3.74 |
✅ |
|
2024-04-11 22:04 |
cache |
1.17 |
✅ |
|
2024-04-11 22:37 |
cache |
23.75 |
✅ |
|
2024-04-11 22:04 |
cache |
1.17 |
✅ |
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()
Thu Apr 11 22:36:38 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 45C P0 44W / 300W | 310MiB / 16160MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
+-----------------------------------------------------------------------------+