Im trying to run a simulation (done in matlab 2020a I guess) but when running it , it gives the next error
Failed to find 'Power Electronics/Full-Bridge Converter' in library 'powerlib' referenced by Full-Bridge Converter'
But in my install it already has the toolboxes installed
SimElectronics Version 2.5 (R2014a)
SimMechanics Version 4.4 (R2014a)
SimPowerSystems Version 6.1 (R2014a)
Simscape Version 3.11 (R2014a)
I have been told these are necessary,but then what? the needed toolboxes are supposed to be installed. What more is needed?
PD
Some friend told me the simpowersystems were merged alongside the simelectronics, into SimscapePowerSystems, so guessing the model is writen in that, whats the lower version with comes with these toolbox?, 2017?, 2016?
Related
Trying to run codegen with MATLAB 2019a on a linux box and got the error:
... /lib64/libstdc++.so.6: version: 'GLIBCXX_3.4_20' not found ...
I have /lib64/libstdc++.so.6, just (apparently) not the right version. How can I resolve this?
Here is a list of supported compilers for your version of MATLAB.
Apparently MATLAB R2019a on Linux requires GCC 6.3.x. Make sure you have that version installed.
I'm currently trying to compile Darknet on the latest CUDA toolkit which is version 11.1. I have a GPU capable of running CUDA version 5 which is a GeForce 940M. However, while rebuilding darknet using the latest CUDA toolkit, it said
nvcc fatal : Unsupported GPU architecture 'compute_30'
compute_30 is for version 3, how can it fail while my GPU can run version 5
Is it possible that my code detected my intel graphics card instead of my Nvidia GPU? if that's the case, is it possible to change its detection?
Support for compute_30 has been removed for versions after CUDA 10.2. So if you are using nvcc make sure to use this flag to target the correct architecture in the build system for darknet
-gencode=arch=compute_50,code=sm_50
You may also need to use this one to avoid a warning of architectures are deprecated.
-Wno-deprecated-gpu-targets
I added the following:
makefiletemp = open('Makefile','r+')
list_of_lines = makefiletemp.readlines()
list_of_lines[15] = list_of_lines[14]
list_of_lines[16] = "ARCH= -gencode arch=compute_35,code=sm_35 \\\n"
makefiletemp = open('Makefile','w')
makefiletemp.writelines(list_of_lines)
makefiletemp.close()
right before the
#Compile Darknet
!make
command. That seemed to work!
I'm trying to use cplex on matlab but I'm getting the following error:
Error using cplexlp (line 256)
Invalid MEX-file 'C:\Program
Files\IBM\ILOG\CPLEX_Studio1271\cplex\matlab\x64_win64\cplexlink1271.mexw64': The specified
procedure could not be found.
Error in cplex_example (line 12)
[x,fval,exitflag,output] = cplexlp(f,A,b,Aeq,beq,lb,ub,options);
I have already added the paths as follows:
addpath ('C:\Program Files\IBM\ILOG\CPLEX_Studio1271\cplex\matlab\x64_win64')
addpath('C:\Program Files\IBM\ILOG\CPLEX_Studio1271\cplex\examples\src\matlab')
savepath
My laptop runs on Windows 10 64-bit, my matlab is R2013a 64-bit and cplex is cplex 12.7.1 win-x86-64.
I saw an answer to a similar question and they said it must be checked by dependency walker. Dependency walker showed that a whole bunch of API-MS-WIN-CORE, EVENTING, SECURITY, SERVICE, EXT-MS-WIN-GDI etc. dll files where missing.
I looked at a few posts implying that these are included in Visual C++ Redistributable packages, so I installed all editions of Microsoft Visual C++ Redistributable (both x86 and x64 just to be sure).
But I still have the problem. What am I missing here? Any help would be greatly appreciated.
MATLAB R2013a is not supported with CPLEX 12.7.1 (see the detailed system requirements). You'll either have to use a newer version of MATLAB or an older version of CPLEX.
Ok,this is something am having problems with. I recently installed Matlab R2013a on a x86_64 Linux system running RHEL 5, attached to a Tesla S2050. I have never used the GPU functionality in Matlab itself (but have tried some of it using Jacket that lets one
program GPUs in Matlab).
The Tesla is working fine with all the drivers ,CUDA installed (Jacket v1.8.2 is running fine without complaints).
** Driver Version: 270.41.34 (the last version from 2011, supporting S2050) **
CUDA: v5.0.35
nvcc -V : Cuda compilation tools, release 5.0, V0.2.1221
But the Matlab r2013a complains:
gpuDevice errors:
Caused by:
The CUDA driver was found, but it is too old. The CUDA driver on your system supports CUDA version 4. The required CUDA version is 5 or greater.
Now, I understand the error that Matlab has problems with the Driver version. But, I have installed the latest CUDA toolkit and the latest driver that nVidia has to offer for the Tesla S2050 that I have.
Is there a later driver version available for this Tesla (i downloaded the latest driver & when trying to install, it simply complains that I don't have the compatible nVidia hardware).
How do I tell Matlab to consider the relevant CUDA ? (where to set PATH, CUDA_PATH etc., if any ? )
Are there any other checks i need to perform the evaluate the working of the attached Tesla ?
Thanks in advance for help.
You cannot use CUDA 5.0 with driver 270.41.34. CUDA 5 requires 304.54 or newer. This is not a MATLAB issue.
Newer drivers that support CUDA 5 will also support Tesla S2050.
For example this recent 319.17 driver lists Tesla S2050 on the supported products tab. Or use the 304.54 that comes with cuda 5.0.
I am trying to use GPUmat(MATLAB) under ubuntu.
For my system, GPUstart works well without any error message like follows :
Starting GPU
- GPUmat version: 0.280
- Required CUDA version: 4.2
There is 1 device supporting CUDA
CUDA Driver Version: 4.20
CUDA Runtime Version: 3.0
Device 0: "GeForce GT 520"
CUDA Capability Major revision number: 2
CUDA Capability Minor revision number: 1
Total amount of global memory: 1073283072 bytes
- CUDA compute capability 2.1
...done
- Loading module EXAMPLES_CODEOPT
- Loading module EXAMPLES_NUMERICS
-> numerics21.cubin
- Loading module NUMERICS
-> numerics21.cubin
- Loading module RAND
But when I try to create variable like ' a = GPUdouble(rand(2)); '
the following error message appears
Error using mxNumericArrayToGPUtypePtr
Unable to allocate memory using cudaMalloc
Error in GPUdouble (line 52)
p.slot = mxNumericArrayToGPUtypePtr(p,
double(A));
I can't guess any of reason why this is hapenning. Can you give me some advice to solve this? I really appreciate for your help.
p.s) At the first time, GPUstart does not work due to the library problems. So I moved all the libraries of CUDA 4.2 to matlab library folders according to GPUmat developer's advice.
Thank you !
You have an incompatible version of the CUDA runtime installed. GPUStart tells you "Required CUDA version: 4.2" but you have the CUDA 3.0 toolkit installed.
You will need to update your CUDA toolkit to a supported version.