Jacobi cudaεργασίες
1. Nodes Management Configurable CPU, GPU, Memory, Storage in each node. Show that Data is able to be transferred between nodes 2. GPU sharing Enable GPU plugin for K8S. GPUs can be shared between the nodes in a cluster 3. Out-of-the-box Docker image that has Caffe/Mxnet/Tensorflow/PyTorch, which has CUDA, cuDNN, NCCL enabled. 4. Write a shell script to allow user to a. create tasks that runs in the k8s cluster b. view status of the tasks 5. Install TensorBoard/Visdom/VisualDL/MxBoard or necessary visualization tools 6. show logs of the running nodes
I need a programmer to convert a python program to a cuda program skill in cuda and c++ is mandatory
I am looking for someone to work on a simple CUDA coding work and ibraries (cuSPARSE, cuBLAS) and Optimizations. Must understand CUDA, Parallel Processing, Parallel Computing and good at C/C++ programming. Must be expert in computer science, numerical libraries, performance optimization and parallel programing. CUDA coding templates will be provided to help complete the project quickly. Several Projects small and big projects will follow for the right person.
I need a gpu-based brainwallet search pereferably in cuda opencl is also good. skill in cuda and c++ is essential
Looking for a Data Engineer with java and C++, CUDA coding experience that is an expert in Apache NiFi and MiNiFi.
All Operations used a thread block of CUDA. First randomly population is saved in global memory. And the assigned block checks whether the individual fitness is evaluated or not. If not then randomly select one individual and evaluate it. Crossover, mutation, selection, and termination assign blocks used global memory for In and Out solution process. When this global memory in out of range then assign one block that removes the worst (low) solution from global memory and replace this randomly to create a new individual
I am looking for someone to work on a simple CUDA coding work and ibraries (cuSPARSE, cuBLAS). Must understand CUDA (NVIDIA), Parallel Processing, Parallel Computing and good at C/C++ programming. Must be expert in computer science, numerical libraries, performance optimization and parallel programing. CUDA coding templates will be provided to help complete the project quickly. Several Projects small and big projects will follow for the right person.
I am looking for an Expert in Cuda Programming
I am looking for someone to work on GPU (CUDA) code for Profiling and Optimization. Must understand Parallel Processing, Parallel Computing and good at CUDA, GPUs and C/C++ programming. Must be expert in CS, numerical libraries, performance optimization, parallelization of infrastructure, parallel programing and heterogeneous storage systems. Several Projects will follow for the right person.
write Matlab code for iterative methods such as Jacobi, Grass-seidel and SOR.
i need a programmer to who can edit a cuda program i need three more functions added to my cuda source knowledge of cuda c c++ is mandatory
Three sorting algorithms should be implemented 1. The sort algorithm provided by the Cuda Thrust Library. 2. A single-threaded sorting algorithm that will run on the GPU. 3. A massively parallel sorting algorithm on the GPU
Three sorting algorithms should be implemented 1. The sort algorithm provided by the Cuda Thrust Library. 2. A single-threaded sorting algorithm that will run on the GPU. 3. A massively parallel sorting algorithm on the GPU
...validate_args=validate_args) File "C:anaconda3envsGymSB3Oandalibsite-packagestorchdistributions", line 56, in __init__ raise ValueError( ValueError: Expected parameter logits (Tensor of shape (1, 3)) of distribution Categorical(logits: ([1, 3])) to satisfy the constraint IndependentConstraint(Real(), 1), but found invalid values: tensor([[nan, nan, nan]], device='cuda:0') ...
I need a cuda or opencl (purely gpu-based) program to generate valid mnemonics for crypto based on my wordlists and my rules
I have project run for 3D volume rendering with Marching Cubes algorithm written in CUDA C++. I found there were some steps in the algorithm can be avoided for faster computation time. More details can be discussed in DM.
I need a cuda program to generate valid mnemonics for crypto based on my wordlists and my rules
i need a programmer to who can edit a cuda program i need three more functions added to my cuda source knowledge of cuda c c++ is mandatory
I am looking for someone to work on a simple CUDA coding work. Must understand CUDA, Parallel Processing, Parallel Computing and good at C/C++ programming. Must be expert in computer science, numerical libraries, performance optimization and parallel programing. CUDA coding templates will be provided to help complete the project quickly. Several Projects small and big projects will follow for the right person.
I am looking for someone to work on a converting CPU code into GPU (CUDA) code. Must understand Parallel Processing, Parallel Computing and good at CUDA, GPUs and C/C++ programming. Must be expert in CS, numerical libraries, performance optimization, parallelization of infrastructure, parallel programing and heterogeneous storage systems. Several Projects will follow for the right person.
I am looking for someone to work on a simple CUDA coding work. Must understand CUDA, Parallel Processing, Parallel Computing and good at C/C++ programming. Must be expert in computer science, numerical libraries, performance optimization and parallel programing. CUDA coding templates will be provided to help complete the project quickly. Several Projects small and big projects will follow for the right person.
I need a cuda program to generate valid mnemonics for crypto based on my wordlists
Modify existing codebase to compute 600+ Mio SHA256d / sec on GTX970
i need a programmer to who can edit a cuda program i need three more functions added to my cuda source knowledge of cuda c c++ is mandatory
's algorithm(Single Source Shortest Path) can be used to find the sortest distance from source node to all other nodes in the node network. nodes should be generated using 'jngen' graph generator.(File attached) Distance from source node(Zero) to all other nodes should be calculated. 4.Parall...Shortest Path) can be used to find the sortest distance from source node to all other nodes in the node network. nodes should be generated using 'jngen' graph generator.(File attached) Distance from source node(Zero) to all other nodes should be calculated. implementation of the algorithm is mandatory. CUDA code should run on NVIDIA-SMI 470.42.01 Driver Version: 470.42.01 CUDA Version: 11.4
...senior expert in Computer Vision (ideally using OpenCV), C++, and 3D modeling for multiple ongoing projects. You must have expertise in the following: - Computer vision algorithms and techniques (e.g., OpenCV), - C++ (v17 and v20+), - 3D modeling from synthesized images in near-real time, - Networking, concurrency, operating systems, and - Performance optimization for CPU and GPU (ideally using CUDA). You must also be able to write and speak English clearly and fluently. If all of the above describe you accurately, we would love to hear from you. (** no agencies or teams, please **) What is in it for you? You will be joining a global, remote team. You will get a steady stream of projects to grow your range of skills and experience. To be considered, you **must** incl...
Hello, i need a project that allows me to send a string and receive the sha256 hash back using CUDA for gpu's this needs to be called from c# and allow multi threading here is an existing project to get sha256 hash with cuda
i did cuda bitonic sort but i want correctness and someone to check, if it's correct
i need a programmer to who build and run cuda program I have a source its a cuda program I want to a programmer to build this source
I want to configure NVIDIA CUDA so that I can run a simple python script. If you have experience with configuring cuda on windows server 2019 VPS, then you are welcome. This is an urgent task. If you have experience, you can finish it within 1-2 hours. If you are proved to be a fit, I will provide anydesk id. Thanks.
i need someone good with cuda to explain simple project code for me
I need a cuda based program for mnemonic recovery for ETH , BTC and Doge bid only if you have skill in cuda and c c++
...*.caffemodel and provide me instructions/scripts how to do the conversion. If you can't use MobileNet SSD ver.>1 or you can't use my server at all then I need to reconsider for which price should I continue the project. MY Ubuntu 20.04 LTS SERVER DETAILS: -------------------------------------- CPU and RAM: Intel I5, 8GB system RAM (8GB RAM can be increased if needed) GPU: GeForce 1050 Ti (4GB) CUDA 10.1 ; CuDNN 8.0.2 ; Python 3.8 Plz do not change above versions unless really needed (it might break existing Caffe installation and scripts). If you really need to then discuss with me first. WHEN TASK WILL BE CONSIDERED AS DONE ------------------------------------ 1.) After you finish new Caffemodel I will provide you with 3 short videos from "location-C". ...
I am looking for someone to work on Parallel GPU and I/O Projects. Must understand CUDA, I/O Methods (like HDF5 etc.), Parallel Processing, Parallel Computing and good at C/C++ programming. Must be expert in CS, numerical libraries, performance optimization, parallel programing and parallel I/O for heterogeneous storage systems. Several Projects will follow for the right person.
I am looking for someone to work on a Plasma Parallel GPU Projects. Must understand CUDA, Parallel Processing, Parallel Computing and good at C/C++ programming. Must be expert in CS, numerical libraries, performance optimization, parallel programing and parallel I/O for heterogeneous storage systems. Several Projects will follow for the right person.
i want someone to understand my code, and is good with bitonic sorting in CUDA implementation
* A Dijkstra's algorithm can be used find the shortest path from source node to destination node. * Current Stack depth of CUDA architecture is 24. i.e., the number of nested threads that can be invoked by a single thread is limited to 24 threads. * In this version of code (CUDA) for Dijkstra algorithm, when the stack depth is reached, the parent thread has to wait for for one of its child threads to complete. so that, it can continue doing its operations to find the shortest path. * New version of code is needed to somehow overcome this wait time. i.e., a new way of allocating the threads/data is needed. * I will provide the version of code I have (if needed)
i want to make 2 large codes(AI ML) one with cpu python and one with cuda gpu and then check the execution time for both
We are Expertise in QT software full scale development automotive, medical, etc. All design documents , development, testing full sdlc implementation. Expertise in languages c++, python. Windows,Linux operating system. Expertise in Parallel programming, cuda, opencv, opencl, opengl, LabVIEW, matlab.
i need a programmer to who can edit a program requirements knowledge of crypto C++ programmer CUDA
I currently have a golang project written and I need to rewrite it to c ++ (opencl / cuda) because it is quite slow. The project uses secp256k1 and mt19937 if you are familiar with secp256k1 and keccak algorithms on gpu , and you have knowledge of ethereum address generation please apply and we can talk more in messages. I need this ASAP :C
i'm trying to do a parallel sorting an array with cuda, but i'm running into issues any help?
Hi Athanasios K., I noticed your profile and would like to offer you my project. I have a python script which runs on cpu it is used to find the missing part of the bitcoin private key, which I have half of it, and another half is missing, I want your help in converting this code into cuda compatible python script so that I can utilise the power of GPU and run the script much fater. or if possible re write the script in c++ cuda compatible fomat.
i'm having a project and i'm trying to build an odd-even sorting by using cuda programming model (parallel programming) but it's syntax is from C++ syntax which has pointers, i don't know how pointers works so i just need help in building it
i'm trying to make one-even sort parallel programming with cuda, i need help for it
I need a high performance, image blending implementation using Laplacian Pyramid in CUDA. I have a sequential version developed in C but it is slow and I want to convert the existing code to CUDA and deploy on GPU. This is urgent project so only bid if you are available to work on it right away.
I am looking for someone to work on a Plasma Parallel GPU Projects. Must understand CUDA, Parallel Processing, Parallel Computing and good at C/C++ programming. Must be expert in CS, numerical libraries, performance optimization, parallel programing and parallel I/O for heterogeneous storage systems. Several Projects will follow for the right person.
Define an object as an array of dimensions [m], where m is typically very big (~10k). Every element of this array is a boolean 0 or 1. We also have a float value r. I want a function receiving two objects and computing a new object doing the following: input_obj = [object1, object2] idx = 0 for i in 0:m{ if rand() < r then idx = 1 - idx (swap object) resulting_obj[i] = input_obj[idx][i] } return resulting_obj And this should be done parallelly for n objects, so input is (n, 2, m), output is (n, m). Also n is big (~1k). Assumption 1 -> r is very small, thus swapping happens rarely. You should performs optimistic computation (supposing swapping doesn’t happens, and if it happens correct later) Since the sequentiality along m, I don’t know if it is ...
