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{{GPU610/DPS915 Index | 2012320171}}=Student Resources=
The purpose of this page is to share useful information that can help groups with their CUDA projects.
= CUDA Enabled Cards =
[http://en.wikipedia.org/wiki/CUDA#Supported_GPUs List @ CUDA Wiki]
= Workshop Notes =
==BLAS Documentation==
See the [[GPU610/DPS915_BLAS_Documentation | BLAS Documentation Page]]
==Makefile Documentation==
See the [[GPU610/DPS915_Makefile_Documentation | Makefile Documentation Page]]
After following the instructions,,provided in today'''''y'''''s lecture, to setting up the library and include files in the project properties to run Cuda on VS 2012 Express at home, I still encounterthe linker error; "unable to find cuda_runtime.h". Googling around, there are two ways around this. By default, VS Studio uses the 32bit debugger, which you can change in project properties. You will have to :is use the output vector Win32 version of float the library directives (for sgemvie in my case "C:\Program Files\NVIDIA Corporation\NvToolsExt\lib\Win32") or double with the default debugger. If use the x64 library files, change the debugger to 64bit (for dgemvwhich I neglected and lost a good portion of time) values. Cheers.
===segmm==Ubuntu 12.04 LTS and CUDA 5 Toolkit Installation Guide=void '''cblas_sgemm''' (''const enum CBLAS_ORDER '''Order''', const enum CBLAS_TRANSPOSE '''TransA''', const enum CBLAS_TRANSPOSE '''TransB''', const int '''M''', const int '''N''', const int '''K''', const float '''alpha''', const float * '''A''', const int '''lda''', const float * '''B''', const int '''ldb''', const float '''beta''', float * '''C''', const int '''ldc''''')[http://wwwzenit.gnusenecac.org/software/gsl/manual/html_node/Level-3-CBLAS-Functionson.html 1] [http:ca/wiki/www.prism.gatechindex.eduphp/~ndantam3GPU610/cblas-doc/doc/html/cblas_8h.html#7d42dfcb6073c56391fee28494809cc5 2] [http://publib.boulder.ibm.com/infocenter/comphelp/v8v101/index.jsp?topic=%2Fcom.ibm.xlcpp8a.doc%2Fproguide%2Fref%2Fblaslib.htm 3DPS915_Ubuntu_and_CUDA_Installation See the guide here; work in progress]
== SVGALIBS - Graphics Library ==
This library is a Linux graphics library and thus will not work on windows (I have tried very briefly on finding a way but could not for the reason that Windows does not have X11/xorgs/linux tty devices). The program needs to be run on a Linux machine because it is using svgalibs which is an archaic way to display stuff on the linux screen (from quick google search on the svga library).
[http://www.svgalib.org/ svgalibs link]
== Dynamically Allocated Shared Memory ==Here is a roundabout way of working around the shared memory limitations of your graphics card.The idea is to send in chunks that your kernel can handle, then keep on sending chunks until there are none to be sent. The address being sent is also being shifted based on the chunk size.<div style='color:#000000;background:#ffffff;'> CHUNKSIZE <span style='color:#808030; '>=</span> <span style='color:#008c00; '>512</span><span style='color:#800080; '>;</span> shared_ <span style='color:#808030; '>=</span> CHUNKSIZE <span style='color:#808030; '>*</span> <span style='color:#800000; font-weight:bold; '>sizeof</span><span style='color:#808030; '>(</span>SimBody<span style='betacolor:#808030; '>)</span><span style='color:#800080; '>;</span> <span style='color:#800000; font-weight:bold; '>while</span> <span style='color:#808030; '>(</span>chunks <span style='color:#808030; '>></span> <span style='color:#008c00; '>0</span><span style='color:#808030; '>)</span> <span style='color:#800080; '>{</span> BodyArray ba <span style='color:is the scaling constant for matrix c#808030; '>=</span> <span style='color:#800080; '>{</span> <span style='color:#808030; '>&</span>arr<span style='color:#808030; '>.</span><span style='color:#603000; '>array</span><span style='color:#808030; '>[</span>index<span style='color:#808030; '>]</span><span style='color:#808030; '>,</span> CHUNKSIZE <span style='color:#800080; '>}</span><span style='color:#800080; '>;</span> SimCalc <span style='color:#808030; '><</span><span style='color:#808030; '><</span><span style='color:#808030; '><</span> numBlocks_<span style='color:#808030; '>,</span> numThreads_<span style='color:#808030; '>,</span> shared_ <span style='color:#808030; '>></span><span style='color:#808030; '>></span><span style='color:#808030; '>></span><span style='color:#808030; '>(</span>ba<span style='color:#808030; '>)</span><span style='color:#800080; '>;</span> cudaThreadSynchronize<span style='color:#808030; '>(</span><span style='color:#808030; '>)</span><span style='color:#800080; '>;</span> SimTick <span style='color:#808030; '><</span><span style='color:#808030; '><</span><span style='color:#808030; '><</span> numBlocks_<span style='color:#808030; '>,</span> numThreads_<span style='color:#808030; '>,</span> shared_ <span style='color:#808030; '>></span><span style='color:#808030; '>></span><span style='color:#808030; '>></span><span style='color:#808030; '>(</span>ba<span style='color:#808030; '>,</span> timeStep<span style='color:#808030; '>)</span><span style='color:#800080; '>;</span> cudaThreadSynchronize<span style='color:#808030; '>(</span><span style='color:#808030; '>)</span><span style='color:#800080; '>;</span> index <span style='color:#808030; '>+</span><span style='color:#808030; '>=</span> CHUNKSIZE<span style='color:#800080; '>;</span> <span style='color:#808030; '>-</span><span style='color:#808030; '>-</span>chunks<span style='color:#800080; '>;</span> <span style='color:#800080; '>}</span> chunks <span style='color:#808030; '>=</span> arr<span style='color:#808030; '>.</span>size <span style='color:#808030; '>/</span> CHUNKSIZE <span style='color:#808030; '>+</span> <span style='color:#008c00; '>1</span><span style='color:#800080; '>;</span> index <span style='color:#808030; '>=</span> <span style='color:#008c00; '>0</span><span style='color:#800080; '>;</span></div>
/* IF (direction.GT.0) THEN */ if (*direction > 0) { /* p=turnnow/dturns+1 */ cp = t / *dturns + 1; /* DO i=1,nrep */ for(i = 1; i <= *nrep; i++) { /* forall(mm=1:size(xp)) dphi(mm)=dphi(mm)-c1(turnnow)*denergy(mm) */ for(mm=0;mm<l;mm++) { dphi[mm] =Getting Started on Macdphi[mm] - c1[t] *denergy[mm]; } /* turnnow=turnnow+1 */ t=t+1;http /* forall(mm=1:size(xp)) xp(mm)=dphi(mm)+phi0(turnnow)-& xorigin*h*omegarev0(turnnow)*dtbin */ for(mm=0;mm<l;mm++) { xp[mm] = dphi[mm] + phi0[t] - \ *xorigin * *h * omegarev0[t] * *dtbin; } /* forall(mm=1:size(xp)) xp(mm)=(xp(mm)-& phiwrap*FLOOR(xp(mm)/developer.download.nvidia.comphiwrap))/(h*omegarev0(turnnow)*dtbin) */ for(mm = 0; mm < l; mm++) { xp[mm] = (xp[mm] - \ *phiwrap * floor(xp[mm] / *phiwrap)) / (*h * omegarev0[t] * *dtbin); } /* forall(mm=1:size(xp)) selfvolt(mm)=vself(p,FLOOR(xp(mm))+1) */ for(mm = 0; mm < l; mm++) { int itemp = floor(xp[mm]); selfvolt[mm] = vself[(*vselfDimRow * (itemp)) + (cp-1)]; } /* forall(mm=1:size(xp)) denergy(mm)=denergy(mm)+q*((& (VRF1+VRF1dot*tatturn(turnnow))*SIN(dphi(mm)+phi0(turnnow))+& (VRF2+VRF2dot*tatturn(turnnow))*& SIN(hratio*(dphi(mm)+phi0(turnnow)-phi12)))+selfvolt(mm))-c2(turnnow) */ for(mm = 0; mm < l; mm++) { denergy[mm] = denergy[mm] + *q *(( \ (*VRF1 + *VRF1dot * tatturn[t]) * sin(dphi[mm] + phi0[t]) + \ (*VRF2 + *VRF2dot * tatturn[t]) * \ sin(*hratio * (dphi[mm] + phi0[t] - *phi12))) + selfvolt[mm]) -c2[t]; } /* END DO */ } } else { // p=turnnow/dturns cp = t / *dturns; // DO i=1,nrep for (i=1;i<=*nrep;i++) { // forall(mm=1:size(xp)) selfvolt(mm)=vself(p,FLOOR(xp(mm))+1) for(mm = 0; mm < l; mm++) { int itemp = (int)floor(xp[mm]); selfvolt[mm] = vself[(*vselfDimRow*(itemp)) + (cp-1)]; } /* forall(mm=1:size(xp)) denergy(mm)=denergy(mm)-q*((& (VRF1+VRF1dot*tatturn(turnnow))*SIN(dphi(mm)+phi0(turnnow))+& (VRF2+VRF2dot*tatturn(turnnow))*& SIN(hratio*(dphi(mm)+phi0(turnnow)-phi12)))+selfvolt(mm))+c2(turnnow) */ for(mm = 0; mm < l; mm++) { denergy[mm]=denergy[mm] - *q *(( \ (*VRF1 + *VRF1dot * tatturn[t]) *sin(dphi[mm] + phi0[t]) + \ (*VRF2 + *VRF2dot * tatturn[t]) * \ sin(*hratio * (dphi[mm] + phi0[t] - *phi12))) + selfvolt[mm]) + c2[t]; } // turnnow=turnnow-1 t--; /* forall(mm=1:size(xp)) dphi(mm)=dphi(mm)-c1(turnnow)*denergy(mm) */ for(mm = 0; mm < l; mm++) { dphi[mm]=dphi[mm] + c1[t] * denergy[mm]; } /* forall(mm=1:size(xp)) xp(mm)=dphi(mm)+phi0(turnnow)-& xorigin*h*omegarev0(turnnow)*dtbin */ for(mm = 0; mm < l; mm++) { xp[mm] = dphi[mm] + phi0[t] - \ *xorigin * *h * omegarev0[t] * *dtbin; } /* forall(mm=1:size(xp)) xp(mm)=(xp(mm)-& phiwrap*FLOOR(xp(mm)/phiwrap))/(h*omegarev0(turnnow)*dtbin) */compute for(mm = 0; mm < l; mm++) { xp[mm] = (xp[mm] - \ *phiwrap * floor(xp[mm] /DevZone*phiwrap)) /docs(*h * omegarev0[t] * *dtbin); } } } /html/Cyp=denergy/docdEbin+yat0 for(mm=0; mm<l; mm++) { yp[mm] = denergy[mm] /CUDA_Getting_Started_Mac.pdf*dEbin + *yat0; }
=Visual Studio 2017 and CUDA 9.1 Problem =I ran into this problem when trying to build '''thrust_sort.cu''' in the Thrust lecture. The only way I was able to build and run successfully was to create a '''CUDA 9.1 project'''. However, in the current version of Visual Studio 2017, unless you set the '''Platform Toolset''' to '''Visual Studio 2015 (v140)''', you will not be able to build and run CUDA 9.1 projects. This can be done by going to project properties, then to the General section, then changing the '''Platform Toolset'''. However, this is where I ran into a problem where Visual Studio would display an error and would not let me change the platform toolset. So I came up with the following workaround and it works:*If you haven't already done so, install the optional '''Visual Studio 2015 (v140)''' component which is available from the Visual Studio 2017 installer.*From Visual Studio, create a CUDA 9.1 project, then close the solution.*Using a text editor, open <project name>.vcxproj*Add the following as the first element in the XML under the '''Project''' tag: <nowiki><PropertyGroup> <CUDAPropsPath Condition==Troubleshooting=="'$(CUDAPropsPath)'==''">$(VCTargetsPath)\BuildCustomizations</CUDAPropsPath> </PropertyGroup></nowiki>*Replace all occurrences (there are 2 of them) of v141 with v140.Problem *Search for "CUDA 9.1" (you will find 2 occurrences). Then replace the first entire line with <code><nowiki><Import Project="$(CUDAPropsPath)\CUDA driver version 59.01.24 on MacBook Pro 2012 [http:props" /></nowiki></blogscode> and the second entire line with <code><nowiki><Import Project="$(CUDAPropsPath)\CUDA 9.adobe1.comtargets" /premiereprotraining></2012nowiki></08/known-issues-with-cuda-5-0-17-driver-including-crashescode>.*Close the file in the text editor then re-open the solution in Visual Studio. You should now be able to add your .cu files, build and-kernel-panicsrun.html Fix]
