Comments (9)
Thank you for your advice.
Currently, no. We have several internal pre-formatted test datasets, which may be upload to world wide web.
However, accessing cloud drive from mainland China is a little bit thorny. We will try our best to upload them. If you have any advice on which cloud drive we should use, please tell us. Thank you in advance.
from thunder.
Hello - I just shared a shared Globus endpoint with your Tsinghua email address. If you download globus personal connect on your server, you can use the Globus web interface to move data from your server onto my server (if this is not blocked).
Otherwise, I think you can upload small amounts to One Drive and then share this with me (or so I was told).
Alternatively - you could create an EMPIAR dataset that users could download in order to test THUNDER.
Thanks,
Mike
from thunder.
Thank you for your help.
We will try to upload. Once we accomplish uploading, we will get you informed.
Best regards.
Mingxu
from thunder.
We are uploading a dataset of AAV-AAVR complex, https://www.nature.com/articles/s41564-018-0356-7.
Due to limited bandwidth, it will take 10-20 hours. We will have you informed once accomplish uploading.
Sorry for the latency.
Best regards.
Mingxu
from thunder.
Thank you - I appreciate having the chance to run a standardized dataset.
If you do not mind, could you also include information on how long it took you run the job and what node/machine types? Just to make sure our compiled version is operating comparatively.
Thanks,
Mike
from thunder.
We have upload AAV-AAVR dataset as demo. Please check https://github.com/thuem/THUNDER-demo-datasets.
There is a demonstration running. The hardware and time consumption has been described in the README.md.
Sorry for the latency caused by the unstable Internet connection.
If you have any problem using THUNDER, please connect us. We will try our best to provide you help.
Moreover, you may have noticed that THUNDER has updated to version 1.4.12. The overall procedure of data analysis remains the same, however, there is some difference. We are working providing a renewed and redesigned manual here https://thuem.github.io/THUNDER/. As you may see, it is only half done. We are working on it and hope to accomplished it soon.
Best regards,
Mingxu
from thunder.
Dear Mingxu,
Thank you for this! It is very helpful! I'd like to confirm the time for this job to run on what types of systems:
-Was this using 7 K40 GPUs on 7 nodes?
-Wall time: 2 hrs 41 minutes ?
Mike
from thunder.
Dear Mike,
We have pushed the information on https://github.com/thuem/THUNDER-demo-datasets. We are using SLURM job management system. If you need more information about this system, for example, network, we can also provide you help.
Best wishes,
Mingxu
from thunder.
Information pushed on https://github.com/thuem/THUNDER-demo-datasets.
Close issue.
from thunder.
Related Issues (20)
- Compiling error HOT 6
- THUNDER runs on cpu cluster HOT 1
- a runtime crash reported by Professor Jiang, USTC HOT 1
- Thunder run on GPU cluster: parameter, benchmark, scratch HOT 3
- Weired behavior when start running HOT 1
- make fails HOT 2
- Integration in Scipion? HOT 2
- Make fail in CPU/GPU mode - CUDA 10.1 - THUNDERconfig.h not found? HOT 12
- Job stuck in CTF estimation step HOT 4
- Questions about THUNDER running
- Kernel CTF calculation error HOT 1
- about RELION_2_THU.py HOT 2
- GPU version dies but CPU version complete a 2D job HOT 1
- make problem HOT 8
- Crash during 1st iteration of GPU refinement HOT 2
- make problem - ubuntu 17.10 HOT 1
- make problem Debian 4.9 HOT 1
- How to continue a crashed run HOT 1
- E-mail notification test HOT 17
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