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https://devtalk.nvidia.com/default/topic/391310/cuda-programming-and-performance/cuda-nvidia-gpus-and-microsoft-excel-can-cuda-improve-speed-of-ms-excel/
Aug 07, 2008 · I also focus on excel with CUDA... ^^ I have some experiences working mathematica, matlab and C, fortran with excel. from the experience, the critical issue is overhead of function call in excel. Therefore you need make few numbers of subroutine instead you insert many same functions in each cells. I'll illustrate using cuda in excel.
https://streamhpc.com/blog/2016-09-19/accelerating-excel-opencl/
The precision-problems are with all spreadsheet softwares, as Excel alternative Gnumeric discusses it nicely. The demo. We wanted to make clear that OpenCL is much faster and integrated OpenCL in Excel – this can be any acceleration language from CUDA to HCC. The latest version of our Excel-demo did a financial calculation, namely Monte Carlo.
https://developer.nvidia.com/cuda-toolkit-31-downloads
CUDA Toolkit 3.1 Download Quick Links [ Windows ] [ Linux ] [ MacOS ] For the latest releases see the CUDA Toolkit and GPU Computing SDK home page For older releases, see theCUDA Toolkit Release Archive Release Highlights GPUDirect(tm) gives 3rd party devices direct access to CUDA Memory Support for 16-way concurrency allows up to 16 different kernels to run at the same time on Fermi ...
https://developer.nvidia.com/cuda-gpus
Recommended GPU for Developers NVIDIA TITAN RTX NVIDIA TITAN RTX is built for data science, AI research, content creation and general GPU development. Built on the Turing architecture, it features 4608, 576 full-speed mixed precision Tensor Cores for accelerating AI, and 72 RT cores for accelerating ray tracing. It also includes 24 GB of GPU memory for training neural networks with large batch ...
https://www.youtube.com/watch?v=74dkVlQ8tPg
Jul 06, 2015 · Excel speed up using CUDA. No sheet modifications, standard Excel formulas. Functions used include VLOOKUP, CONCATENATE, IFERROR amongst others. https://gith...
https://answers.microsoft.com/en-us/msoffice/forum/msoffice_excel-mso_win10-mso_2016/how-to-utilize-multiple-cores-in-excel-2016/76fef7bb-750d-42f7-95ca-91d2694479c1
May 05, 2017 · Tech support scams are an industry-wide issue where scammers trick you into paying for unnecessary technical support services. ... How to utilize multiple cores in Excel 2016 How can I get Excel to operate on multiple cores consistently? Whatever I do, only 5-8% of the CPU gets used, and everything takes a very long time. ...
https://stackoverflow.com/questions/12910902/opencv-error-no-gpu-support-library-is-compiled-without-cuda-support
From here: "To enable CUDA support, configure OpenCV using CMake with WITH_CUDA=ON .When the flag is set and if CUDA is installed, the full-featured OpenCV GPU module is built." – Robert Crovella Oct 16 '12 at 14:23
https://en.infogestion.ch/
Excel is the best tool to complete your software or to create a tool from A to Z. Infogestion develops or optimizes your Excel management applications tailor-made for your company. For almost 15 years, we have been simplifying data entry for maximum speed and easy of use while maximizing the readability and relevance of your analyzes.
https://streamhpc.com/blog/2018-06-19/how-to-speed-up-excel-in-6-steps/
How to speed up Excel in 6 steps Posted by Vincent Hindriksen on 19 June 2018 with 0 Comment After the last post on Excel (“ Accelerating an Excel Sheet with OpenCL “), there have been various request and discussions how we do “the miracle”.
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