dda | A discrete dipole approximation implementation | GPU library
kandi X-RAY | dda Summary
kandi X-RAY | dda Summary
this project is a discrete dipole approximation (dda) implementation for gpus (in particular for nvidia gpus) using opencl. the algorithms are heavily based on adda currently only linux i386 and amd64 is supported. in order to build a windows version the build system would have to be adapted. the code includes a cpu implementation which can be used with --cpu, however this mode is mainly intended for debugging and not particularly fast. there is some support for multi-gpu operation but this is completely untested. there also is some support for periodic targets, but no support for getting the far field or cross sections of periodic targets. all output files are written as hdf5 files. these hdf5 files can be read by matlab (with "load -mat 'file.hdf5'") or
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QUESTION
Say I have a dictionary as such:
...ANSWER
Answered 2022-Apr-08 at 16:06This gives the desired output:
QUESTION
How do I create multiple resource groups with storage accounts for a list of users using list/count in Azure Terraform?
I have two main files (main.tf) and a module (users.tf), and I want to create one resource group and one storage account for each user.
With current setup I'm only able to create a storage account in the main resource group for each user.
Here is a example of what I already achieved:
main.tf
...ANSWER
Answered 2022-Mar-12 at 14:05With the following changes, the code works:
Add a variable.tf file at the root module level that defines the "config" variable
Pass the "config" variable to the "users" module in main.tf
Pass config.json to terraform with the '-var-file' option
To help with understandability, consider using native Terraform for your config file rather than JSON - unless you have a strong case for the latter.
Directory structure
QUESTION
import numpy as np
import dask.array as dda
def index_nearest(to_find, coord_grid):
"""Return indexes of elements in coord_grid that most
closely match the ones in to_find.
"""
to_find = to_find.reshape(-1,1)
return np.argmin(np.abs(to_find - coord_grid), axis=1)
n_points = 10000
n_grid = 800
x = np.random.uniform(0, n_grid, [n_points,])
x_grid = np.arange(n_grid)
x_da = dda.from_array(x, chunks=10)
x_grid_da = dda.from_array(x_grid, chunks=10)
index_nearest(x_da, x_grid_da)
ANSWER
Answered 2022-Jan-22 at 06:15The number of tasks depends on the number of chunks, especially for operations that require pairwise combinations of different chunks.
Since a chunk with 10 elements takes up 80 bytes, there is usually plenty of room for using bigger chunks, e.g. increasing chunk size to 1_000 elements increases memory load of a single chunk to about 8 kilobytes, while the number of tasks to simply create x_da goes down from 1000 to 10. Using chunk size of 1_000 decreases task count for the complete operation to 61 tasks.
Chunk size of 1_000 is still rather small, in many cases one could probably get away with chunk sizes on the scale of 100 MB or even more (depends on the hardware and the types of computations performed).
QUESTION
I am trying to set up an encoder IMFTransform. In this case, it happens to be NVENC H264 Encoder. However, IMFTransform::SetInputType() is not working for ConfigureEncoder(), and is returning MF_E_TRANSFORM_TYPE_NOT_SET. This behavior does not occur in the ConfigureColorConversion() function, despite the code being nearly identical. I have tried just about everything and it has not helped at all.
ANSWER
Answered 2022-Jan-03 at 16:16
MF_E_TRANSFORM_TYPE_NOT_SETYou must set the output types before setting the input types.
This is behavior by design. You would normally buuild the pipeline along the data flow, but in the case of encoder it's typically reverse for reasons I am omitting here. The error code, as documented, gives you a hint that you need to SetOutputType first and then you would be able to do SetInputType.
Even though Video Processor MFT is also an MFT, it's type setting is more relaxed.
QUESTION
I have a vector of characters 'A', 'B', 'C', 'D' and would like to loop n times to get all possible combinations (4^n) of the characters. How do I write a function that will perform this given input n?
For example, if n=2, my loop will look something like this:
...ANSWER
Answered 2021-Oct-26 at 15:51In a word, recursion:
QUESTION
I am drawing a grid in opengl using this -
...ANSWER
Answered 2021-Sep-06 at 15:02You have to determine the grid_width depending on the maximum coordinate. The maximum width of the grid is WIDTH / maxC where maxC is the maximum coordinate. e.g.:
QUESTION
I'm trying to draw a polygon with DDA line algorithm using pygame.
...ANSWER
Answered 2021-Sep-05 at 11:23If you can transform Polar coordinates (d, a) to Cartesian coordinate (x, y) with math.sin and math.cos
QUESTION
I hope all of you are in the best shape. Here I would like to ask how can I add values from List into a Dictionary. As you can see below is the code.
I left the value section as an empty value, in which the elements from the list named after the message should be appended into their respective keys which are the languages.
Thanks for the help lads!
...ANSWER
Answered 2021-Aug-15 at 13:29message = ['lazat', 'delicious', 'lecker', 'nefis', 'maa ssit dda']
dict = {'bahasa': '' , 'inggeris' : '' , 'jerman' : '' , 'turki' : '', 'korea' : ''}
count = 0
for key, val in dict.items():
dict[key] = message[count]
count += 1
print(dict)
QUESTION
So i have model classes to create objects, basically i want to achieve is to create dynamic objects this way. But I do not think this is a good way, can someone help me with this? How can i make this cleaner and more readable. This is a trial to create nested json objects to be sent for a request.
...ANSWER
Answered 2021-Aug-07 at 19:31Personally, I'd use a plain object literal:
QUESTION
I have an object of objects like this
...ANSWER
Answered 2021-Aug-03 at 11:59I just used a small modification to your code to enable it for all properties of the nested objects:
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