All Questions
7 questions
14
votes
3
answers
43k
views
How to properly calculate CPU and GPU FLOPS performance?
Problem
I'm trying to calculate CPU / GPU FLOPS performance but I'm not sure if I'm doing it correctly.
Let's say we have:
A Kaby Lake CPU (clock: 2.8 GHz, cores: 4, threads: 8)
A Pascal GPU (clock: ...
- 241
5
votes
1
answer
354
views
Integrating/Implementing NURBS-related calculations
Recently, I started to develop some codes that use NURBS (general things I intend to use/already using: spline generation, interpolation, grids, isolines, closest-point find, and many others), both ...
- 8,742
0
votes
2
answers
83
views
Software that does naïve or formal simplification of mathematical expressions
Devil-may-care that I am, suppose that I wanted to 'simplify' the following expression, utterly ignoring the fact that it's very naughty to raise various kinds of numbers to arbitrary powers or to ...
- 185
1
vote
1
answer
219
views
Is OPENFOAM a good idea for direction/operator splitting in parabolic equation
I would like to know if I should switch to OPENFOAM for my task.
I work only with Cartesian grids, right now in 2d, rectangular domains only.
If $\mathbf{w} = (w_1, w_2)$ and suppose I want to solve
...
- 445
3
votes
2
answers
226
views
Using computational libraries on a machine without root access
If you want to use a computational library on a high-performance computing center where you have no root access to install new software you can use header-only template libraries such as MTL4, Eigen3, ...
- 133
3
votes
3
answers
2k
views
Can anyone recommend a library in C++ which has the most efficiency in doing sparse matrix operations under Windows system
I have download sparselib++, but it seems that it can't be complied in Windows, only in Unix, I don't know. So can anyone recommend some which can be used in Visual Studio 2010? I want to do a large ...
- 31
10
votes
2
answers
466
views
Task-based shared-memory parallel libraries in Scientific Computing
In recent years, several libraries/software projects have appeared that offer some form or another of general-purpose data-driven shared-memory parallelism.
The main idea is that instead of writing ...
- 9,563