…on test benchmark ?
Can you beat the simplicity of use of its parallel library?
Take any compiled test you want
and compare your CUDA speed with Intel/AMD multi-core CPUs.
Test - the solution of sparse band system of equations.
…on test benchmark ?
Can you beat the simplicity of use of its parallel library?
Take any compiled test you want
and compare your CUDA speed with Intel/AMD multi-core CPUs.
Test - the solution of sparse band system of equations.
Here are Phenom 1055T 2.8 GHz results depending on amount of processors on Lahey fortran
1 cpu 2.46s
2 cpu 1.22s
3 cpu 0.83s
4 cpu 0.67s
5 cpu 0.58s
6 cpu 0.50s
Is there any source code available for the benchmark? Otherwise trying to perform a similar test under CUDA might be really difficult…
Also, is there any price for a CUDA implementation that beats the CPU?
Prize of course… where has the edit function gone?
Can this solve linear equations ? like:
constant * variable + constant * variable + constant * variable <= 1000;
If so can you give an example of how the input would look like ?
In general
x = 2y
y = x + 4
Or even
x/y = 2
y - x = 4
Of course, there can be more variables…
However, because they are linear you will never see
x = y^2