Gpgputrabajos

ABSTRACT: Ray tracing using GPGPU computing is a hot topic that aims to dramatically increase speed at which computer graphics are rendered for numerous markets (like vehicle manufacturing industries and various medical applications to diagnose the disease) and using a wide variety of techniques that are capable of producing a high degree of visual realism and realistic images. In our project, we aim to render static scenes using GPGPU computing on CUDA platform. For this we have been able to: 1. Develop a final algorithm for ray tracing that contains several modules. 2. Study and practice parallel programming language i.e. CUDA. 3. Explore various libraries in the latest CUDA toolkit 5.0 that are required for ray tracing. 4. Come up with basic design structures and r...

I have two hybrid exact string matching algorithms. I need them to be paralleled using GPGPU (CUDA). The algorithms are ready which needed to be executed in this models by Window and Linux. The requirements are first designing the model with explanations and second implementation in large and small databases (200 MB and 1 GB). The standard databases can be obtained from ().

I have two hybrid exact string matching algorithms. I need them to be paralleled using Two models; first GPGPU (CUDA) and second Hybrid of MPI/ OpenMP. The algorithms are ready which needed to be executed in these models by Window and Linux. The requirements are first designing the models with explanations and second implementation in large and small databases (200 MB and 1 GB).

I have two hybrid exact string matching algorithms. I need them to be paralleled using Two models; first GPGPU (CUDA) and second Hybrid of MPI/ OpenMP. The algorithms are ready which needed to be executed in these models by Window and Linux. The requirements are first designing the models with explanations and second implementation in large and small databases (200 MB and 1 GB).

I require someone to set up a VirtualBox appliance with Ubuntu 12.04 Desktop with PCI-pass-through to Nvidia GPU cards and configured to use the gputools in R. Note: This is to access the Nvidia GPU cards on the hardware directly. According to some documentation, you must have a motherboard with IOMMU to obtain PCI-pass-through in VirtualBox (if it turns out not to be possible in VirtualBox, I would accept a VMWare appliance). This project requires someone good with Linux as getting the CUDA portion to work in Ubuntu is not straight forward. The VirtualBox applicance should have the following applications installed and tested: R and RStudio Server with gputools installed and working (example test below). I will also require documentation (command line instructions for how the configu...

...algorithm in C++ but I am dealing with such large datasets that it would be silly do use a interpreted language. The heavy calculations in the program consist of calculating the 1st 4 statistical movments of a dataset that has now around 200,000 Integers but will grow to at least 2M integers in time. So calculating the mean,stdev,skewness and curtosis of a large dataset from what I have seen of GPGPU code then this has already been done in some libraries like array fire. If you are interested in this project I can sent you a much more detailed description. Right now the code is in visual studio C++ I do not care about the development environment, but I would like to build the end code on both windows and linux. The priorities are Code clearness, maintainability (I will h...

I require someone to set up a VirtualBox appliance with Ubuntu 12.04 Desktop with PCI-pass-through to Nvidia GPU cards and configured to use the gputools in R. Note: This is to access the Nvidia GPU cards on the hardware directly. According to some documentation, you must have a motherboard with IOMMU to obtain PCI-pass-through in VirtualBox (if it turns out not to be possible in VirtualBox, I would accept a VMWare appliance). This project requires someone good with Linux as getting the CUDA portion to work in Ubuntu is not straight forward. The VirtualBox applicance should have the following applications installed and tested: R and RStudio Server with gputools installed and working (example test below). I will also require documentation (command line instructions for how the c...

Good morning, I require the assistance of a developer to build a mySQL database to house specific datasets. Also, I require a .net application that processes files to have the same processing capabilities redeveloped to make use of Nvidia GPGPU - for performance enhancement. Further details and data/code samples available via pm. Regards, Sam

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I want to develop Histogram comptation on NVIDIA graphics card using GLSL .it should work on NVIDIA GT425 mcard with 512 MB memory. It should for more 1000 bins , if not what should be the maximum limit . what is memory constraint for creating gpgpu applications with GLSL. It should have to work with windows 7 64 bit os. I would accept 32 bit application also.

This project seeks an experienced CUDA programmer to implement a specific algorithm using GPGPU technologies. The algorithm is known as "[longest common subsequence][1]" (LCS). Your implementation should meet the following requirements: * Programmed in C++ or Java (via jCUDA) * Should take only two arguments--the two strings that are being compared. You may assume only that the two strings contain characters in the lower 127 ASCII set. The strings may be the same or different lengths, and could be over 64kb. * Should return only the length of the LCS--not the sequence itself. You should use this requirement to increase efficiency over implementations that return the entire string. * Should utilize modern CUDA-enabled GPUs to calculate the LCS at least 4 times fast...

-Reliability, Availability and Serviceability Apart from traditional supercomputer systems which include thousands of processors, Jipsam system uses CUDAs for computation, resulting in much higher MTTR (Mean Time To Repair) due to reduced number of system components. Should any node fails, the failover mechanism keep the system functioning by re-assigning tasks to available nodes. Jipsam System Management Workstation notifies upon such a failure with diagnostic information to help identify the problem. Combined with flexible system architecture which allows hot-swap of system components, Jipsam supercomputing system enables continuous availability as well as high serviceability. -Compactness Built on proven CUDA computing technology, Jipsam supercomputing system provides drastically im...

I have a project that will last 3-6 months based in London. I need a Graphics engineer to work on the graphics that will be implemented on a mobil...Graphics engineer to work on the graphics that will be implemented on a mobile phone. The candidates must have experience within: • C++ development on an embedded platform • Compiler front-end design, construction, back-end interfacing, • Code generation optimisation: data flow, register allocation, test, benchmarking • LLVM • 3D graphics shader language programming (e.g. OpenGL, DirectX) • GPGPU compute language programming (e.g. OpenCL, Renderscript, DirectCompute) The project will be paying £30- 35 per hour and you must be able to work onsite in London staines. A full job description ...

ALL IMPLEMENTATIONS SHOULD NOT BE COPIED OR TAKEN FROM INTERNET ! ALL SHOULD BE MADE BY FREELEANCER STARTING FROM EMPTY PROJECT FILE. THE SOURCE SHOULD BE AS SIMPLE TO UNDERSTAND AS POSSIBLE ! NO ERR...algorithms and optimalizations and what thay do etc. There will be a lot of comparisons in the algorithm as far as i know. The final app should first do the algorithm on CPU than on GPU and show results and compare computing times. In points: 1> create a detailed tutorial about programming CUDA in our Project. 2> analyze the Algorithm Implementation and how to program it and optimize for GPGPU 3> implement the algorytmik on CPU. 4> implement the algorithm on GPU. 5> compare and create performance function for both the implementations and also mention optimi...

I need a very detailed tutorial how to implement a dynamic programming algorithm (of my choose) first normally on CPU and than how to make it work faster as a praller application on a GPU. I need it to b...algorithms and optimalizations and what thay do etc. There will be a lot of comparisons in the algorithm as far as i know. The final app should first do the algorithm on CPU than on GPU and show results and compare computing times. In points: 1> create a detailed tutorial about programming CUDA in our Project. 2> analyze the Algorithm Implementation and how to program it and optimize for GPGPU 3> implement the algorytmik on CPU. 4> implement the algorithm on GPU. 5> compare and create performance function for both the implementations and also mention optimi...

I need a very detailed tutorial how to implement a dynamic programming algorithm (of my choose) first normally on CPU and than how to make it work faster as a praller application on a GPU. I need it to b...algorithms and optimalizations and what thay do etc. There will be a lot of comparisons in the algorithm as far as i know. The final app should first do the algorithm on CPU than on GPU and show results and compare computing times. In points: 1> create a detailed tutorial about programming CUDA in our Project. 2> analyze the Algorithm Implementation and how to program it and optimize for GPGPU 3> implement the algorytmik on CPU. 4> implement the algorithm on GPU. 5> compare and create performance function for both the implementations and also mention optimi...

Optimization of various image processing functions on sgx 535 gpu (gma500 used in Intel Atom). Requires knowledge in gpgpu and shaders since the processor doesn't support cuda or opencl. If the results of some basic functions are satisfactory the project will be prolonged for more complicated functions.

The assignment is develop to improve parallel programming skills by implementing an algorithm on a GPGPU device using CUDA. The task is to implement the computation of the power of a n-by-n square matrix A described in the PDF file attached. Since your assignment will be automatically marked, it is crucial that you follow our instructions carefully. Your output will need to be in exactly the right format. To assist with this, we have made available some sample test cases. The sample test cases are by no means exhaustive. You will need to test your code more thoroughly by thinking carefully about the specifications and writing your own tests. Note: The program needs to pass all the test cases available and pass the performance bench marks. The programmer needs to test the prog...

We use code derived from: plus some other code. This is a sparse matrix least squares solver. We suspect this algorithm can be expressed on a GPGPU at much higher performance. We wish to purchase the development of a GPGPU version of LSQR which will be drop in compatible with our current version. While our code is a little different from the linked code, the code in the previous link is completely sufficient for you to consider bidding on this contract. We will provide actual code to convert on contract. The resulting code must execute on x32 and x64 bit versions of Windows, Linux and (eventually) MacOS. Versions for both ATI and nVidia compatible chipsets must be provided. Ideally we would like completion

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What I am looking for is a program that will take .ts, .m2ts, .264 HD A/V files and transcode them into a .mp4 or .mkv file that Windows Media Play can play natively. I want the program to do what RipBot264(e.g ) does but I want it written in CUDA so the encoding processes can utilize the GPU's processing power.