Cuda fractal jobs
I need a strategy that will look at 3 time frames and take trades when SMI is up or down on all 3 at the same time. The strategy will stop taking trades when a specified profit or loss has been reached. The strategy will issue audio and visual alerts when each time frame specified, indicates SMI up or SMI down. Strategy will enter an adjustable position when all three time frames are in alignment. Tell me what you think. Trade platform to be used is NT7. Thank you Pete
Hi Our company is looking for a CUDA program: (1) to transfer an existing matlab function into a CUDA program, so that better performance can be achieved. (2) can show benchmark result compare the CUDA program with the original Matlab program, in terms of speed (3) the matlab program involves complex operation, typically: the 'pmcov' function (a extracted matlab function) for a randomized vector (contains Doubles, size of 2048).
please find attachment ............
Hi Our company is looking for a CUDA program: (1) to transfer an existing matlab function into a CUDA program, so that better performance can be achieved. (2) can show benchmark result compare the CUDA program with the original Matlab program, in terms of speed (3) the matlab program involves complex operation, typically: the 'pmcov' function (a extracted matlab function) for a randomized vector (contains Doubles, size of 2048).
My company is looking for a CUDA program: (1) to transfer an existing matlab function into a CUDA program, so that better performance can be achieved. (2) can show benchmark result compare the CUDA program with the original Matlab program, in terms of speed (3) the matlab program involves complex operation, typically: the 'pmcov' function (a extracted matlab function) for a randomized vector (contains Doubles, size of 2048).
...funciones que tengo puestas abajo de c# en cuda, de forma que se acelere el proceso bastante, ya que el metodo actual es extremadamente lento debido a la cantidad SHA256 que aparecen en el bucle principal. Lo único que quiero es que la librearia exporte dos funciones una de SHA256( data) y otra de user_key("test",salt,result_key) para poderlas llamar desde mi aplicación y acelerar dicho proceso por gpu // ******************************************************************************* i want to call a method from c# code. this is the code that has to be translated in CUDA (SHA256 its very slow method) I only need a library (with source), to call in my c# code to this library, so it will be able to do the slow work (all of them in CUDA...
Creating a High Performance (Computing) Cluster from scratch using CUDA ToolkIT (use of a GPGPU- Might be a 3-4 node cluster) It needs to be done on both virtual and physical machines. Will tell you in more detail.
***This is more about getting things running then optimizing a world-class algorithm*** I have the model and the following documentation: Compiling -- how to check out and compile this code. Data -- what kind of data this net can train on. LayerParams -- how to specify an architecture for the net. NeuronTypes -- types ...arguments that the net takes. ViewingNet -- how to look inside the checkpoints saved by the net. CheckingGradients -- how to numerically test the gradients for correctness. The individual will need to use TeamViewer to access the machine. In addition, the machine has a NVIDIA geforce GTX 750 Ti GPU. Please take a look here: This should be a simple process for individuals who know C++/CUDA. All the code is supplied.
I have an ITK for 2D Image segmentation. I would like to extend it to 3D image segmentation with fast execution (using CUDA), with a high visualization using VTK and in an interface using QT. Please, note that, whom not experts in this field, don't contact me.
I need cutting edge CV algorithms implemented that uses TBB, IPP and CUDA 7.0 for a security system to perform the following: 1) facial features extraction, 2) face recognition, 3) eye gaze detection 4) near-duplicates detection 5) licence plate recognition 6) Image mosaicing 7) camera calibration and would also like to know what kind of additional Video analytics for surveillance systems have you implemented that you would recommend incorporating into the system. To support real-time analysis of the above features for very high resolution feeds the code will be running on AWS large GPU instance with 32 CPU cores and Quad Nvidia-Grid GPUs (1500 cores each) and 64 GB of RAM. So use of IPP and CUDA7.0 to accelerate the performance is essential. The platform will be run...
im looking for someone to create Fractal animation videos - Must have experience in creating fractal videos Please send me link of examples - Flam3 would be best but any similar would be great
Develop a python/php/mysql parser engine. Analogy to parser (everything that this parser offers + additional features: database integration, gpu libraries acceleration (opencl, cuda), improved threads (linux) and proxy optimization, API/JSON) Details in private...
hi, i want a program for some of custom calculations including cointegartion calculation between time series of stocks data available in sql. It should use CUDA for fast calculation and no. of combinations will be more and language to be c#. and finally filter the results and store in excel or sql format
hi, i want a program for some of custom calculations including cointegartion calculation between time series of stocks data available in sql. It should use CUDA for fast calculation and no. of combinations will be more and language to be c#. and finally filter the results and store in excel or sql format
Video segmentation and KeyFrame Extraction using CUDA 7.0 and OpenCV on AWS instance running multiple GPUs . Will provide research paper(2 papers) containing the algorithms which needs to be implemented and will also provide limited access to AWS instance running multiple GPUs with required software installed. Sample code for reference : Thanks, Abhi
Am trying to follow the instructions on this blog: Was able to launch the EC2 instance with the Dock...'phase' make: *** [.build_release/src/caffe/test/test_power_layer.o] Error 1 and when i try to run the MNIST LeNet Example using: ./examples/mnist/ i get an error: libdc1394 error: Failed to initialize libdc1394 I0607 05:45:00.897014 832 ] Use GPU with device ID 0 F0607 05:45:00.899353 832 ] Check failed: error == cudaSuccess (38 vs. 0) no CUDA-capable device is detected *** Check failure stack trace: *** I need someone to run through these steps to complete the steps in the instructions and show me where i am making a mistake so that mine will work.
I need someone to rewrite a class in cuda. Please see message for detailed requirements. Deliverable is a QT project in c++
I need to recreate this project in high resolution. Not only resize image, but recreate for clear image.
Hi, Looking for an experienced GPU programming with expertise in parallel scientific computing to write a very brief high-level plan. I have a scientific application, with a local "greedy" algorithm. Key questions I am trying to address in this brief "opinion letter." I will describe my application, and I am looking for a high-level opinion on the order of < 1 hour of effort. ...have a scientific application, with a local "greedy" algorithm. Key questions I am trying to address in this brief "opinion letter." I will describe my application, and I am looking for a high-level opinion on the order of < 1 hour of effort. -- How many programmers and time my application is likely to require -- What type of hardware (GPU server) would I want to selec...
Hi, Looking for an experienced GPU programming with expertise in parallel scientific computing to write a very brief high-level plan. I have a scientific application, with a local "greedy" algorithm. Key questions I am trying to address in this brief "opinion letter." I will describe my application, and I am looking for a high-level opinion on the order of < 1 hour of effort. ...have a scientific application, with a local "greedy" algorithm. Key questions I am trying to address in this brief "opinion letter." I will describe my application, and I am looking for a high-level opinion on the order of < 1 hour of effort. -- How many programmers and time my application is likely to require -- What type of hardware (GPU server) would I want to selec...
opencv has a library to do exposure compensation, i need someone that can rewrite it on cuda to make it faster and deliver a qt project. the first part of the project is to do it for images and then do it for video. if you know cuda, qt and know a bit about images/video processing please bit.
There is an opensource project which is big. It has a part that gets frames from a video and process them using cuda. I want to get that part of the code and compile it as a separated project. currently the projects get the live frames from several cameras, you will replace that to get it from 4 video files. then use the processing part to get the output file. The project is made on cuda with multi processing. If you have experience in cuda and can use qt please bid.
I have an image processing algorithm already written in Matlab and tested. I need someone to help me to parallelize it and test it on GPU because I am not familiar with CUDA and need help.
Hi, Looking for an experienced GPU programming with expertise in parallel scientific computing to write a very brief high-level plan. I have a scientific application, with a local "greedy" algorithm. Key questions I am trying to address in this brief "opinion letter." I will describe my application, and I am looking for a high-level opinion on the order of < 1 hour of effort. ...have a scientific application, with a local "greedy" algorithm. Key questions I am trying to address in this brief "opinion letter." I will describe my application, and I am looking for a high-level opinion on the order of < 1 hour of effort. -- How many programmers and time my application is likely to require -- What type of hardware (GPU server) would I want to selec...
Hi, Looking for an experienced GPU programming with expertise in parallel scientific computing to write a very brief high-level plan. I have a scientific application, with a local "greedy" algorithm. Key questions I am trying to address in this brief "opinion letter." I will describe my application, and I am looking for a high-level opinion on the order of < 1 hour of effort. ...have a scientific application, with a local "greedy" algorithm. Key questions I am trying to address in this brief "opinion letter." I will describe my application, and I am looking for a high-level opinion on the order of < 1 hour of effort. -- How many programmers and time my application is likely to require -- What type of hardware (GPU server) would I want to selec...
I have two applications. Server application wrote for Windows, and uses NVIDIA CUDA graphic card to encode H.264 video stream. And client application for Raspberry pi, it can be compiled on Raspbian (Debian version for raspberry). It is a kind of RDP viewer, and uses OpenMAX to display video stream. I need this client application on Android, with simple design. Only one screen: field for entering ip filed tor entering port and connect button
Hi, need to write essay in apa format on the book fractal time by Gregg Braden.
Seeking software engineer located preferably in Eastern Europe with experience in developing for CUDA for writing custom rendering solutions.
Fractal Conversion Introduction You are required to take the provided Java program, which produces a zoomable fractal, and convert it to C#. You may compile the Java code and then run it. To run it just unzip all the files into a directory and double click on Fractal.html. Note that this is a Java Applet, which means it runs in a browser. You will be creating a C# Windows Application. Converting from one programming language to another is a common exercise for programmers. It may be that you are updating a program to run under a new operating system or converting from one platform to another. It may be that you are taking some code and improving upon it. you will also give you a practical insight into the similarities and differences between languages. You are pr...
Finish some already implemented code. Further details will be provided further this day.
Fill up some function of the ethash mining algorithm.
We have a spreadsheet with an array of cellular automata. The intention is to simulate flood. What we need is a c# dll which will take the contents of each block, load them into the GPU, do maths on them as needed (they must reference their neighbours and then we must be able to retrieve the values. The arrays are built like this: ID As Long 'ID of this gridpoint (probably will become a pointer) x As Single 'scientific variable y As Single 'scientific variable e As Single 'scientific variable ID1 As Long 'Pointer to cell above ID3 As Long 'Pointer to cell below ID5 As Long 'Pointer to cell on right ID7 As Long 'Pointer to cell on left ManningsN As Single 'scientific variable SurfaceRunoff As Single 'scienti...
I am looking to hire someone to help me with an assignment only on cuda part. I will be assigning the project shortly. Let me know if you are up for it. Please see the following link for the description of the assignment.
I am looking to hire someone to help me with an assignment only on cuda part. I will be assigning the project shortly. Let me know if you are up for it. Please see the following link for the description of the assignment.
scale invariant feature transform. Find scale space,detect key points, and key point descriptors between CPU and GPU. And find sample out.key. Using in cuda it in cuda and reading for read .. during README, it shows we have to work for convolution and difference of Gaussian and prepareGrad() function.
Contract: thrust-based SIMD filter library for compressed data. This document describes the interface and functionality of a CUDA/thrust-based library for same-instruction-multiple-data (SIMD) filtering on large compressed data arrays. Introduction: In columnar databases, a data table is decomposed by column, such that the set of corresponding rows across the columns represents a record from the original table. Large-scale data analytics on columnar databases requires the computation of predicates against these columns, such as the comparison of each element in a column against a literal. Further, these columns are often stored on disk in compressed form. In order to optimize analytics performance, we require a means of acting on compressed columns in such databases, without de...
I need some Oracle virtual machines created so that I can build some software. Specifically, I would like to use Ubuntu 14.04 then have Cuda installed. After that I need three software libraries installed, Theano, Torch7, and Caffe. One machine for each, and one with all of them. Oracle Virtualbox: Cuda: Caffe: Theno: Torch7:
Need to write an essay of 15-20 pages on a Book name - Fractal Time by Gregg Braden. It must be original and TurnItIn similarity index score must be less than 20%. Essay and Bibliography must be in APA format. Bibliography must be in alphabetical order as per APA. Time to submit project is 3-4 days.
Work from one of the fractal images I have as a file. Recreate it as a 3D design in 3D Max or Solidworks so that it can be made into an .stl file.
(BUY AND SELL = simultaneously) EMAİL and SOUND ALERT
Disparity calculation using segmented images from PSO algorithm in CUDA
I am looking for an expert on CUDA to rewrite a small library that is part of OpenCV. My problem is that the library that comes with OpenCV is slow so I want to rewrite it using CUDA to make it faster. The libary makes 16 steps when processing images. If you are a CUDA expert please make a bid to discuss detailed requirements. Will add all details as a message.
I am looking for an expert on CUDA to rewrite a small library that is part of OpenCV. My problem is that the library that comes with OpenCV is slow so I want to rewrite it using CUDA to make it faster. The libary makes 16 steps when processing images. If you are a CUDA expert please make a bid to discuss detailed requirements. Will add all details as a message.
Disparity calculation using segmented images (left and right view) and particle Swarm optimization algorithm implementation.
I want a code that can run,it is a realiziation of topswaps algorithm on cuda,that can get at least 10 speed up.vs2010+cuda6.5
I want a code that can run,it is a realiziation of sift algorithm on cuda,that can get at least 10 speed up.vs2010+cuda6.5
I would like to write a volume rendering program using CUDA and I am a new in the parallel concept I need help immediately, I want the code to be simple and efficient
rewrite a software in cuda to make it faster. see message for detailed description. the goal is to optimize as much as possible
