Top 7 Programming Languages Used In Video Games
The most commonly used programming languages and tools for creating video games
Hi Usama, Do you have experience with CUDA? I am looking to port over a small parallelized optimization procedure from PyTorch to CUDA. I think for someone with experience with these languages this should take a couple hours or less. I'm willing to negotiate on the rate though. Best,
Hi Milind, Do you have experience with CUDA? I am looking to port over a small parallelized optimization procedure from PyTorch to CUDA. I think for someone with experience with these languages this should take a couple hours or less. I'm willing to negotiate on the rate though. Best,
Hi Loyid, Do you have experience with CUDA? I am looking to port over a small parallelized optimization procedure from PyTorch to CUDA. I think for someone with experience with these languages this should take a couple hours or less. I'm willing to negotiate on the rate though. Best,
Hi Mohamed, Do you have experience with CUDA? I am looking to port over a small parallelized optimization procedure from PyTorch to CUDA. I think for someone with experience with these languages this should take a couple hours or less. I'm willing to negotiate on the rate though. Best,
Hi Shivam, Do you have experience with CUDA? I am looking to port over a small parallelized optimization procedure from PyTorch to CUDA. I think for someone with experience with these languages this should take a couple hours or less. I'm willing to negotiate on the rate though. Best,
Hi Sergey P., I noticed your profile and would like to offer you my project. We can discuss any details over chat. I would like to invite you to bid a simple project. I posted on https://www.freelancer.com/projects/cuda/CUDA-programmer-needed/details
Hi Choudhury R., I noticed your profile and would like to offer you my project. We can discuss any details over chat. I would like to invite you to bid a simple project. I posted on https://www.freelancer.com/projects/cuda/CUDA-programmer-needed/details
Hi William M., I noticed your profile and would like to offer you my project. We can discuss any details over chat. I would like to invite you to bid a simple project. I posted on https://www.freelancer.com/projects/cuda/CUDA-programmer-needed/details
Hi Athanasios K., I noticed your profile and would like to offer you my project. We can discuss any details over chat. I would like to invite you to bid a simple project. I posted on https://www.freelancer.com/projects/cuda/CUDA-programmer-needed/details
A Cuda program is to be developed #####TO RUN IN GPU#### for speeding up our current operation in SQL server. Experienced CUDA developer would be needed. There are three phrases (procedure1, 2, 3) from the specification. Please kindly quote your price for each phrase and leadtime. Also please feel free to send me feedback about the specificiation.
Hi Usama Z., I noticed your profile and would like to offer you my project. We can discuss any details over chat. I am looking for a cuda developer. Would you be interested in bidding my project? https://www.freelancer.com/projects/cplusplus-programming/CUDA-programmer-needed/details Also can you recognize where i take the photo?
Hi Usama Z., I noticed your profile and would like to offer you my project. We can discuss any details over chat. Would you be interested in my open project? https://www.freelancer.com/projects/cplusplus-programming/CUDA-programmer-needed/details Also, did you see my profile pic? Where is it?
A Cuda program is to be developed #####TO RUN IN GPU#### for speeding up our current operation in SQL server. Experienced CUDA developer would be needed. There are three phrases (procedure1, 2, 3) from the specification. Please kindly quote your price for each phrase and leadtime. Also please feel free to send me feedback about the specificiation.
needed expert in Cuda C/C++ source code for 4 programming tasks with small report
1. For successful completion of the project we need a Dockerfile that builds an environment for ultimateALPR with OpenVINO and TensorRT/CUDA support. The project has to contain all the necessary files to build the Docker image. 2. We wish to use ultimateALPR API in Golang so you also need to create Golang bindings for the ultimateALPR’s C++ api. The 3 functions that need to be usable in Golang are: init, process and deInit. Golang should be installed in the Dockerfile as well. 3. To simplify the implementation you need to create a small example app in Golang successfully implementing the ultimateALPR API to detect license plates. The example app can use local pictures but the API has to support raw data from rtsp camera streams. The example app must be included in the same D...
1. For successful completion of the project we need a Dockerfile that builds an environment for ultimateALPR with OpenVINO and TensorRT/CUDA support. The project has to contain all the necessary files to build the Docker image. 2. We wish to use ultimateALPR API in Golang so you also need to create Golang bindings for the ultimateALPR’s C++ api. The 3 functions that need to be usable in Golang are: init, process and deInit. Golang should be installed in the Dockerfile as well. 3. To simplify the implementation you need to create a small example app in Golang successfully implementing the ultimateALPR API to detect license plates. The example app can use local pictures but the API has to support raw data from rtsp camera streams. The example app must be included in the same D...
Need someone to check if is working and fix any issues. Some requirement Linux Tensorflow 1.7, NVIDIA GPU (12G or 24G memory) + CUDA cuDNN.
We have already written cuda and one api code. I need someone to optimize for better performance. I already attached the cuda and one api code along with file please check it.
1. For successful completion of the project we need a Dockerfile that builds an environment for ultimateALPR with OpenVINO and TensorRT/CUDA support. The project has to contain all the necessary files to build the Docker image. 2. We wish to use ultimateALPR API in Golang so you also need to create Golang bindings for the ultimateALPR’s C++ api. The 3 functions that need to be usable in Golang are: init, process and deInit. Golang should be installed in the Dockerfile as well. 3. To simplify the implementation you need to create a small example app in Golang successfully implementing the ultimateALPR API to detect license plates. The example app can use local pictures but the API has to support raw data from rtsp camera streams. The example app must be included in the same D...
convert C program into Cuda and One API programming language
I need someone to fill in blank a simple code in CUDA ( there are a specified areas in the code to fill it), Please follow the requirements down bellow in the attachments. Have a look to the code and requirements.
Write Cuda code for parallel quicksort ( please write both kernel and main ), with C language.
i need c++ or Cude Programmer which has enough experince in c++ or Cude
1- I need an expert programmer in CUDA and GPU to Write a GPU kernel histogram () 2- Also, write a GPU kernel privatized_histogram() The code already exists in the attached files, only few lines of code have to complete. ** down below the attachments and requirements, please have a look and send me a message if you can do it.
I need someone who knows how to code in C usign multithreading and has a knowledge on CUDA for my projects the tasks are very basic and i need the work very urgent (2 days) pls place a bid who are serious and can perfom the work in this amount of time (Budget is fixed)
Point Cloud to Mesh based on CUDA: The project needs to be written in C++. Please ONLY apply IF you had exprience in mesh reconstruction + refrence work. We need a parallel surface reconstruction algorithm that runs entirely on GPU. Requirements: Package should not be licensed under any commercial license. it should be free for our compnay to use and change and distribute without any limitation in functionality or time limit. Package should be able to reconstruct mesh for 3d point cloud in size of few thousand up to ~1.5 M for variable number of point cloud with different size, in proper time. As example for 8 scanned object with two point cloud around 1M and 6 point cloud with 400K, 500K point per each in less than 8 second. As input package will receive 3 vector of Eige...
convert C program into Cuda and One API programming language
Hi, I try to run Coqui TTS on Ubuntu installed in WSL2. - nvidia-smi works - nvcc -V works but when I try to run CUDA app I get: > Using CUDA: False > Number of GPUs: 0 User provided device_type of 'cuda', but CUDA is not available I need someone who will connet to me via anydesk and help configure it.
I am looking for someone to work on a Matrix Multiply-Accumulate (Tensor Core) for CPU and GPU Project. Must understand CUDA, Tensor Core, Parallel Processing, Parallel Computing and good at Python and C/C++ programming. Must be expert in CS, Jupyter notebook, numerical libraries, performance optimization, parallelization Python infrastructure, parallel programing and parallel I/O for heterogeneous storage systems. Several Projects will follow for the right person.
Cuda 11.2 on Ubuntu 20.04 installation remote assistance needed
0 I am trying to solve this problem where I am trying to combine all separate functions into one big function call. There are now 3 function calls that need to be one. At this point, the code works good and I am getting the correct result but with merging With the second function called "GPUmatmul_nosqr_portion2_real" into the function "GPUmatmul_element". the code gives the wrong answer. From my debugging, after the function call "GPUmatmul_element" the next function has the issue of accessing the memory as if I debug, I cannot access the values of the first function in the immediate widow as it shows . However, when I use the cudaDeviceSynchronize(); before the second function call, I can access the values. But, interestingly, even though in the debugging ...
I am trying to solve this problem where I am trying to combine all separate functions into one big function call. There are now 3 function calls that need to be one. At this point, the code works good and I am getting the correct result but with merging With the second function called "GPUmatmul_nosqr_portion2_real" into the function "GPUmatmul_element". the code gives the wrong answer. From my debugging, after the function call "GPUmatmul_element" the next function has the issue of accessing the memory as if I debug, I cannot access the values of the first function in the immediate widow as it shows. However, when I use the cudaDeviceSynchronize(); before the second function call, I can access the values. But, interestingly, even though in the debugging mode,...
I need to slightly truncate/change this code - just to convert bitcoin PrivKey (WIF) to public address. For example: stdIn: 13tsSJrjL6T71X3k4j7ppffjMCNoPhbSGf stdOut: 5JksNm1VfRVX3DzLkT615zV34LYojYnEHTWmYz2oujFMsT4CXvi 13tsSJrjL6T71X3k4j7ppffjMCNoPhbSGf It should work - as VanitySearch - with GPU (nvidia/cuda) under ubuntu 18/20 and must be compilable by me (no exe code).
Hello, I have quite simple C code which computes public address out of bitcoin privkey. It works parallel at CPU threads. I want to have it working on GPU (nvidia CUDA) what should make it about 1000 faster. Are you interested? 10 USD price is just to start conversation of course.
Hello, I have quite simple C code which computes public address out of bitcoin privkey. It works parallel at CPU threads. I want to have it working on GPU (nvidia CUDA) what should make it about 1000 faster. Are you interested? 10 USD price is just to start conversationa of course.
Hello, I have quite simple C code which computes public address out of bitcoin privkey. It works parallel at CPU threads. I want to have it working on GPU (nvidia CUDA) what should make it about 1000 faster. Are you interested? 10 USD price is just to start conversationa of course.
Hello, I have quite simple C code which computes public address out of bitcoin privkey. It works parallel at CPU threads. I want to have it working on GPU (nvidia CUDA) what should make it about 1000 faster. Are you interested? 10 USD price is just to start conversationa of course.
Need to perform matrix multiplication on GPU in matlab and CUDA, the matrices are saved in CSV file format that is imported from matlab simulation. The equation will be provided as long with the matrices. The goal is to create a code on matlab then on CUDA in Visual Basic Studio to run the four matrices multiplication on GPU!
i am looking to create a website on face swap technology , using artificial intellegence , Work is 80% ready only last steps I have API ready as per my website requirement's , i want to test it on a server ,we need a GPU server on which there will be an API. > Setup for the GPU, cuda and cudnn versions. Any one having this type of server access to help us to test our API function's thank you
I need a simple program that must run on a gpu. This program should create a set (or array) with a range of numbers. This array can contain billions of numbers. After creating the array, I must be able to check if any of the numbers in the created array is in another array I will provide. If so, I must save this number in a txt file. Remember about concurrency, because the array I will provide will be accessed by multiple threads at the same time.
I have API ready as per my website requirement's , i want to test it on a server ,we need a GPU server on which there will be an API. > Setup for the GPU, cuda and cudnn versions. Any one having this type of server access to help us to test our API function's thank you
Make CUDA available for using easyocr fastly in pycharm
Hi Athanasios. I would like to modify an existing software to meet my specific needs. The project is CUDA based.
I'm looking for good talents who: 1. familiar with GPU/CUP 2. Professional knowledge of HPC(High-Performance Computing) 3. CUDA or OpenCL
...CSI-2/MIPI cameras and output a panoramic video in realtime, ideally output to something that can be handled via gstreamer or ffmpeg (gstreamer preferred) pipe. - Requires use of CUDA (Xavier NX has both CUDA cores and discrete encoder and decoder), minimal use of CPU (20% or less) Information about system - Jetson Xavier NX (non dev kit) 8GB ram - Hosted on custom carrier board, cameras are operational on board (/dev/video0, video1, video2) - OpenCV 4.5.3 /w CUDA is built - FFMPEG with NVMPI enabled is built - Python 3.6 Do not bid on this project if you have no experience in - Real time camera stitching - OpenCV / CUDA coding Advantage if you have experience with Jetson Multimedia API Successful bider will have access to one of our development un...
3d reconstruction on cuda.. must have a gpu to run and debug.
Hello Mr. Suceveanu. I would be interested in a very fast implementation of the secp256k1 library for CUDA. Keep in mind that this would be used mostly for bitcoin puzzles, so speed is crucial. There are already several projects that have this implemented in a form or another, but a lot of people are asking for ability to create their own private keys, as opposed to the available software, which generates keypairs in a specific range. Puzzle:
Hi. Sergey. I am interested in a CUDA implementation of the SECP256k1 library. It should be fast as it will be used for brute-forcing. To meet my requirements, the final code should be able to do : let crackingCandidates = <cracking candidates>; let privateKey = SHA256(randomValueGeneratedFromGlobalIdx); let pubKey = (privateKey); if ((pubKey)) return 1; There are similar things implemented, I could give you references. Thanks
Hi. Tam. I am interested in a CUDA implementation of the SECP256k1 library. It should be fast as it will be used for brute-forcing. To meet my requirements, the final code should be able to do : let crackingCandidates = <cracking candidates>; let privateKey = SHA256(randomValueGeneratedFromGlobalIdx); let pubKey = (privateKey); if ((pubKey)) return 1; There are similar things implemented, I could give you references. Thanks.
The most commonly used programming languages and tools for creating video games
This article is a guide for anyone interested in using machine learning frameworks in their organization.