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Dear YangZhong,
I am writing to you regarding a memory issue I am encountering while calculating the band structure of a system with 3903 atoms using `band_cal_parallel.py`. With parameters set to …
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Recognizing Steps to controlling the size of the data going into storage
Currently the system has 4 TB or storage. It is important to contoll the size of the data that is used for the model when sor…
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**Individual HACKS**
[MCQ Test #4 Blog](https://stg-7.github.io/FastPages/2023/03/30/QuizFourBlog.html)
[Data Structures HACKS](https://stg-7.github.io/FastPages/2023/03/29/DS-hashmaps.html)
[Paral…
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Hi, thanks for your interesting tool!
I have been using cTWAS on a few datasets, and have got interesting results.
Overall, I have been able to run most parts of the analysis relatively smoothly.…
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### Is your feature request related to a problem?
I'm creating duckarrays for various file backed datastructures for mine that are naturally "chunked". i.e. different parts of the array may appear in…
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First, thanks for a very nice tool!
I have a couple of questions:
1) Is it possible to speed up Malva using more threads? I know that KMC easily can use more threads, meaning that the first step…
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From https://github.com/conda/conda/issues/2581 submitted by @Sandy4321:
may you pls help fix bug when anaconda does not permits
to use joblib to ran parallel calculating of windows per
https://…
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Always use same amount of work when comparing serial and parallel versions
- [ ] Benchmarking
- [ ] Computing Pi
- [ ] Threading/Multip
- [ ] Delayed
- [ ] Data flows
- [ ] Asyncio
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I tried to parallelize `network::test` but realized it's impossible to do so.
In `sequential::forward` and `sequential::backward` methods,
`layer::set_in_data` and `layer::set_out_grads` are called.…
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## Feature Name
NVIDIA
## Feature Description
Research about NVIDIA
## NVIDIA
NVIDIA is a leading technology company known for its graphics processing units (GPUs) and its advancements …