Cell Definition: Improve Compute Performance?

In summary: It is always a good idea to design input files with simple cell definitions to optimize computation speed.
  • #1
mnikph
2
0
in defining cell you can use '#' but i read some where use this operator slowing your computation but i think mcnp at first chage your code and transform this oprator by use of (':' & ' ') and build new code then start to computation to prevent it , are you know about this subject?
 
Engineering news on Phys.org
  • #2
Looks reasonable. You can test your file w/ and w/o '#' to see the difference. The common sense is to design input file containing as simple cell definitions as possible to speed up the computation.

mnikph said:
in defining cell you can use '#' but i read some where use this operator slowing your computation but i think mcnp at first chage your code and transform this oprator by use of (':' & ' ') and build new code then start to computation to prevent it , are you know about this subject?
 
Last edited by a moderator:
  • #3


Yes, I have heard about using the # operator in defining cells and how it can potentially slow down computations. I believe this is because the # operator is used for comments in some programming languages, so the code may need to be modified to prevent any conflicts. I am not familiar with how MCNP specifically handles this, but it sounds like they have found a solution by using the : and space characters instead. This is interesting and I would be curious to learn more about it.
 

1. What is a cell in computing?

A cell in computing refers to a single unit of a larger computing system, often used in parallel computing. It can be thought of as an individual processor or node that works together with other cells to perform complex tasks.

2. How does improving cell definition improve compute performance?

Improving cell definition can improve compute performance by allowing for more efficient use of computing resources. This can include optimizing the size and structure of cells, as well as improving communication and coordination between cells. Ultimately, this can lead to faster and more accurate computing results.

3. What are some techniques for improving cell definition?

Some techniques for improving cell definition include using more advanced processors or nodes, optimizing the communication between cells, and utilizing parallel algorithms. Additionally, regularly assessing and adjusting the cell structure can also help improve performance.

4. How is cell definition related to parallel computing?

Cell definition is closely related to parallel computing, as it involves breaking down complex tasks into smaller units (cells) that can be processed simultaneously. This allows for faster and more efficient computation, as multiple cells can work on different parts of a task at the same time.

5. How does cell definition impact the overall performance of a computing system?

Cell definition can have a significant impact on the overall performance of a computing system. By optimizing the size, structure, and communication of cells, the system can run more efficiently, leading to faster processing times and more accurate results. However, poor cell definition can result in bottlenecks and hinder overall performance.

Similar threads

  • Nuclear Engineering
Replies
2
Views
1K
Replies
3
Views
2K
Replies
7
Views
2K
  • Nuclear Engineering
Replies
3
Views
1K
Replies
6
Views
1K
  • Nuclear Engineering
Replies
1
Views
1K
Replies
7
Views
2K
  • Nuclear Engineering
Replies
9
Views
2K
  • Nuclear Engineering
Replies
3
Views
2K
Replies
9
Views
969
Back
Top