Mediacoder opencl jobs
C++ Fractal Image Project Opencl Graphics.h c library There are many types of fractal algorithm. In this assignment, we are using the multi-Julia set to generate our output image. The pseudocode of the algorithm is shown below (extracted from Wikipedia) Ask me for full details.
Parallel and distributed computing (parallel programming, multi threading, OpenCL, GPU, SIMD, MIMD)
I need an expert who is good at the concepts related to parallel and distributed computing. (distributed systems, GPU, SIMD, MIMD etc)
Xilinx SOC expert is required for a line of projects focusing on AI as a service, where we will build a SOC based server accessible from the cloud. The ideal candidate needs to be experienced with VIVADO, VITIS, HLS, and OpenCL. The ideal candidate must be an AXI4 expert and has real life experience with HLS, we will not teach anybody what's HLS and how he is supposed to use it, so please only apply if you have HLS experience not if you think that you are a quick learner. You will be given an Ubuntu machine to RDP the work environment including VIVADO, VITIS, HLS, and the test boards EK-U1-ZCU104-G and 122-EK-U1-ZCU208 will be connected to the RDP machine.
Hi Xhulio K., I noticed your profile and would like to offer you my project. We can discuss any details over chat. I need a program written in OpenCL that will be invoked via Java. It will be doing SHA-256 Proof of work. I will pass the function a String and how many leading 0s are needed. The result returned from the function is the nonce for x leading zeroes. This must be done as efficiently as possible as multiple threads will be using this function at once.
Hi Krishna G., I noticed your profile and would like to offer you my project. We can discuss any details over chat. I need a program written in OpenCL that will be invoked via Java. It will be doing SHA-256 Proof of work. I will pass the function a String and how many leading 0s are needed. The result returned from the function is the nonce for x leading zeroes. This must be done as efficiently as possible as multiple threads will be using this function at once. Thank you.
Hi Sergey P., I noticed your profile and would like to offer you my project. I would like a Google Colab example that calculates using the GPU. Preferrably a batch of secp256k1 hashes is reported back to the host. I've played a bit myself with running cuda in colab which works fine with the %%cu prefix. However most secp256k1 samples i've found are openCL based. Which i have limited knowledge about.. I can give you links of repositories that might be useful.
Hi Suceveanu M., I noticed your profile and would like to offer you my project. I would like an Google Colab example that calculates using the GPU. Preferrably a batch of secp256k1 hashes is reported back to the host. I've played a bit myself with running cuda in colab which works fine with the %%cu prefix. However most secp256k1 samples i've found are openCL based. Which i have limited knowledge about.. I can give you links of repositories that might be useful.
I'm an experienced video editor who is looking for a developer to build a plugin for Adobe After effects and Premiere Pro. Using the After Effects and Premiere Pro SDK. Windows is priority 1. Apple also if possible. Cuda/OpenCL accelleration would be great. Idea: stroke plugin that shows border/stroke around an image or video. Options: - Stroke color (also with pipet) - Stroke thickness (pixels) - Distance from image. - Inside or outside image Optional: - blendmode of stroke - Add multiple strokes with different colors and thickness after each other. - Save combination presets inside plugin - Gradient color stroke (inside to outside) - Feather stroke (so then it becomes sort of a glow outside the image) - (moving) dotted strokes around image I have some more features in min...
I am wanting to mine Bitcoin on my Xbox Series X console. i understand if the console is placed in Developer Mode has UWP support to run a program(OpenCL). Please only accept the job if you have access to a Xbox Series X and get this etup yourself and send the files and guide on howto mine Bitcoin.
Change a program with a for loop, that does Pandas calculations, to do multiple combinations simultaneously (multiprocessing), along with other pertinent optimizations. Bonus for making a OpenCL optimized version.
Hello, I'm looking to build a ETH mining app for Universal Windows Platform (UWP) in C#. This is a proof-of-concept only and so I only need porting of existing open-source miners to UWP and translate code into C#. Existing open-source miners to reference are: ethminer ikminer CUDA support is to be removed, keeping only OpenCL. Are you interested in working together? Peter Deliverables The final deliverable will be a Visual Studio project with well-documented source code in C#, a UWP build, and video calls with me to help me understand the code
help with qucik opencl project (clGetDeviceInfo)
ETH: 1 pool is specified Main Ethereum pool is DCR: 0 pool is specified AMD OpenCL platform not found Be careful with overclocking, use default clocks for first tests Press "s" for current statistics, "0".."9" to turn on/off cards, "r" to reload pools, "e" or "d" to select current pool, "x" to select GPU CUDA initializing... NVIDIA Cards available: 1 CUDA Driver Version/Runtime Version: 11.1/8.0 GPU #0: GeForce GTX 1050 Ti, 4096 MB available, 6 compute units, capability: 6.1 (pci bus 1:0:0) Total cards: 1 Please consider using "-strap" option to increase mining speed, check Readme for details. NVIDIA NVML library not found, temperature monitoring for NVIDIA GPUs disabled. Driver is not installed! Tr...
I have a project written by Java. This project is hashing with Sha256 first, and than hashing with curve25519. For example password is "name123" name123 --->hashing with sha256--->hashing with curve25519---> public key I need more than million calculating power. I prefer to use cuda or opencl. But if you are expert with another language, It's okay. If programs work, I don't care about what language you use. (pytorch,keras, tensorflow....etc) This work is make code faster as you can using GPU. I have file, so if you don't know about curve25519, I will send you. If this work is feel hard, maybe converting curve25519 to cuda is hard. It's not about deep learning or machine learning. I think it's similar to crypto mining. If you interest i...
The description has been attached I need it before Friday 6am (Eastern Time Zone)
In my hobby open source project I'ld ...I'ld like to implement a public key generation via OpenCL for secp256k1. I think something must be wrong and the result is wrong. I stuck currently. It could be possible that I've used the OpenCL implementation wrong and the OpenCL implementation might doesn't provide this feature. I've written a unit test. With maven installed and the simple mvn test command you can run the part where I need help and it fails currently. I hope it is just a minor issue. Here is my project: I've posted more detailed questions already here:
I have a project written by Java. This project is hashing with Sha256 first, and than hashing with curve25519. For example password is "name123" name123 --->hashing with sha256--->hashing with curve25519---> public key I need more than million calculating power. I prefer to use cuda or opencl. But if you are expert with another language, It's okay. If programs work, I don't care about what language you use. (pytorch,keras, tensorflow....etc) This work is make code faster as you can using GPU. I have file, so if you don't know about curve25519, I will send you. If this work is feel hard, maybe converting curve25519 to cuda is hard. It's not about deep learning or machine learning. I think it's similar to crypto mining. If you interest i...
...execution of compute kernels. The CUDA platform is designed to work with programming languages such as C, C++, and Fortran. This accessibility makes it easier for specialists in parallel programming to use GPU resources, in contrast to prior APIs like Direct3D and OpenGL, which required advanced skills in graphics programming CUDA-powered GPUs also support programming frameworks such as OpenACC and OpenCL; and HIP by compiling such code to CUDA. When CUDA was first introduced by Nvidia, the name was an acronym for Compute Unified Device Architecture, but Nvidia subsequently dropped the common use of the acronym....
Hi Karteek S., i would like to continue working with you on the same code we work on before , but this time i would like to convert it to openCL.
I have a project written by Java. This project is very simple. Hashing with Sha256, and curve25519. ex) password = name123 name123 --->sha256--->curve25519--->hash I need more than million calculating power. I don't care about language if program works. ( python, c++, c, java etc) Maybe openCL or cuda is required ( in my opinion )
Following this tutorial of FPGA acceleration through Vitis platform: The Host Program is written...through Vitis platform: The Host Program is written by C/C++. The Kernel Program is written by C/C++. OpenCL API is the bridge to connect the Host Program and Kernel Program under Vitis execution environment. Now, while keeping the Kernel Program (C/C++) of the tutorial, I want to rewrite the Host Program by using Java code. Objective: The Java Host Program must connect successfully with the Kernel Program as the example of tutorial. To be clear, the Java Host Program could use Java Native Interface (JNI) to integrate the native code of OpenCL.
...51a752 We would need the OpenCL modified and delivered as a MS Visual Studio C++ DLL + C# test in one Visual Studio solution. This is the OpenCL portion: The C++ DLL's would get the work as an input: bool CheckSeed (string Seed, string Passhrase, string DerivationPath, int KeyDepth, string sPublicAddressToFind, out byte[] privKeyFound) (small modifications allowed if performance justifies or OpenCL implementation needs it, like Seed could be int[] or byte[] and DerivationPath could be int[]) DerivationPath is a string: Would return false if not found and true + byte[] of private key if found. Performance should not slower than 80% of the original OpenCL code. You can test with
I have written one code in opencv(c++) for performing some task. It now runs about 6ms on my windows pc. The code will be further reused on Android devices, so I need someone to speed up the whole function, especially dilate and erode functions. I need solutions other than simply change mat to UMat. Supporting OpenCL
We are looking for a freelance developer to help us develop a filter based on a mix of OpecnCL and Python to enhance vessels in CT volumetric images. The job is cool and intriguing. The job might become an ongoing contract.
I have written one code in opencv(c++) for performing some task. It now runs about 6ms on my windows pc. The code will be further reused on Android devices, so I need someone to speed up the whole function. Some opencv functions are used, like dilate, erode, findContours, drawContours, etc. Supporting OpenCL
Create optimised Kernel(ISA,BIN) for the RX 5700 GPU's. OpenCL ,GNC3 and GNC5 exist. The System runs on linux (Ubuntu 18) with the newest AMDGPUPro driver (20.50). I can give access to test benches
Development Framework The development framework for th a) Process Standard: IEEE 12207 Process standard and (RUP) b) Architecture Variants: GIS Server with Thin client (3 Tier server and Standalone) c) Development methodolo d) Development Model: Iterative and Incremental with periodic builds e) CASE Tools: Rational Suite f) Software Configuration Management: git ...Operating System Red Hat Enterprise Linux v7.x & v8.x Windows 10.x PostGIS (for Server & Rich Client) Spatialite (for Rich Client) Server Apache Tomcat web server Mozilla Firefox, Chrome, Internet Explorer development Qt5.x/6.x Programming Languages C++ (Core functionalities for Rich client, Server) Java, Java Servlets, JSP (Server) JavaScript, HTML5 (Thin client) GPGPU Programming OpenCL...
Hello, I need help with parallel computing, topics cover openMPI and openCL. OpenCL is similar to CUDA (GPU programming) I have some questions that I need help with. Please message me asap for details.
Write a simple OpenCL program for coaching purposes. need a word document explaining the code
Need a image editor constructed in OpenCL using C++, I have plenty of material available to use
Need a image editor constructed in OpenCL using C++, I have plenty of material available to use
need help with generating a histogram based off of an image Need someone experience with OpenCL
The task is to develop a Perceptron-based Neural Network program in C to classify images of cats and dogs using the FANN library. Project Requirement - Must use only 2 hidden layers. And then implement the Neural Network using OpenCL. (i.e. Parallelize the Serial FANN code in OpenCL) Compare the parallel OpenCL execution time with serial execution (FANN). FANN Library -
An OpenCL program that searches a set of words in a text file and reports how many times the word appears in the file
Make a serial code of Gaussian Elimination and then convert it into Parallel code in OpenCL programming language. If you are intrested in doing that, then i will provide you with further details
Looking for a programmer to optimize my existing Python 3 code and implement multiple gpu acceleration. Existing script is functional but non-gpu. Program needs optimized to achieve maximum calculation speed (numpy?) in conjunction with GPU acceleration. AMD hardware is being used therefore OpenCL, PyOpenCL or the like will need to be utilized. In most cases, my computing system utilizes anywhere from 2-14 gpu’s therefore once completed program must recognize and utilize ALL available hardware automatically. System: Windows 10 64 bit, Python 3, AMD RX580 gpu's
Looking for a programmer to optimize my existing Python 3 code and implement multiple gpu acceleration. Existing script is functional but non-gpu. Program needs optimized to achieve maximum calculation speed (numpy?) in conjunction with GPU acceleration. AMD hardware is being used therefore OpenCL, PyOpenCL or the like will need to be utilized. In most cases, my computing system utilizes anywhere from 2-14 gpu’s therefore once completed program must recognize and utilize ALL available hardware automatically. System: Windows 10 64 bit, Python 3, AMD RX580 gpu's
Looking for a programmer to optimize my existing Python 3 code and implement multiple gpu acceleration. Existing script is functional but non-gpu. Program needs optimized to achieve maximum calculation speed (numpy?) in conjunction with GPU acceleration. AMD hardware is being used therefore OpenCL, PyOpenCL or the like will need to be utilized. In most cases, my computing system utilizes anywhere from 2-14 gpu’s therefore once completed program must recognize and utilize ALL available hardware automatically. System: Windows 10 64 bit, Python 3, AMD RX580 gpu's
You shall perform both development and research. Your role is to help in designing and building a high performance memory-based storage server platform and system. *Strong Knowledge of C/C++ programming and Apache/ Ngnix is a must. Knowledge of memory storage technologies is an added bonus* * Experience of 10 years * Understanding of the fo...in system design. 4) Experience with micro service technologies. 5) Familiar with python web framework 6) Strong experience in web services design and implementation. 7) Knowledge of GPU virtualization. 8) Hands on development experience in OpenStack. 9) Experience with openflow, ovsdb, openvswitch and OVN. 10) Experience in GUI frameworks QT/GTK+/OpenGL. 11) Experience in ZMQ/ RabbitMQ/ CUDA/ OpenCL 12) Knowledge of ESXi / KVM / XEN /...
As described in order, existing Python Program is attached. Please query me with any questions. Order: Optimize my existing Python 3 code and implement multiple gpu acceleration. Existing script is functional but non-gpu. Program needs optimized to achieve maximum calculation speed (numpy?) in conjunction with GPU acceleration. AMD hardware is being used therefore OpenCL, PyOpenCL or the like will need to be utilized. In most cases, my computing system utilizes anywhere from 2-14 gpu’s therefore once completed program must recognize and utilize ALL available hardware automatically. System: Windows 10 64 bit, Python 3, AMD RX580 gpu's
looking for a programmer to optimize my existing Python 3 code and implement multiple gpu acceleration. Existing script is functional but non-gpu. Program needs optimized to achieve maximum calculation speed (numpy?) in conjunction with GPU acceleration. AMD hardware is being used therefore OpenCL, PyOpenCL or the like will need to be utilized. In most cases, my computing system utilizes anywhere from 2-14 gpu’s therefore once completed program must recognize and utilize ALL available hardware automatically. System: Windows 10 64 bit, Python 3, AMD RX580 gpu's
looking for a programmer to optimize my existing Python 3 code and implement multiple gpu acceleration. Existing script is functional but non-gpu. Program needs optimized to achieve maximum calculation speed (numpy?) in conjunction with GPU acceleration. AMD hardware is being used therefore OpenCL, PyOpenCL or the like will need to be utilized. In most cases, my computing system utilizes anywhere from 2-14 gpu’s therefore once completed program must recognize and utilize ALL available hardware automatically. System: Windows 10 64 bit, Python 3, AMD RX580 gpu's
