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CUDA (Compute Unified Device Architecture) refers to a parallel programming model by NVIDIA. The platform is implemented by graphics processing units by the same company. CUDA enables users to gain access to virtual instruction sets and parallel computation elements memory. You can practice your skills in this field as you earn money on Freelancer.com.

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    Hello. I am looking to use GPU support in Opencv for my project. Currently, OpenCV provides OpenCL and CUDA support which is great for a majority of the functions i need. However, i have a pretty exotic match template function. Each point in the template is warped by a given homography and the SQ_DIFF_NORM is calculated for that point in the template and added to the result. The method needs to do the following. For an image patch in the template, warp each point using perspective transform with a given homography and perform the square difference between the source and target images. Match template, point by point for specifically warped points. Known search ROI. Known template ROI. Known homography. Find best match point in search ROI which is warped by homography H. Each template point needs to be warped by the homography and matched against the search image location. Interpolation should be required for the warped point. How much can this be accelerated in OpenCV using the GPU? OpenCV CUDA OpenCL C++ Regards, Daniel

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    Hi Athanasios K., I noticed your profile and would like to offer you my project. We can discuss any details over chat.

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    implement a project in QT 14h left
    VERIFIED

    write a libraray in C langauge in QT

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    Can you help us? We need build plugin for maya [url removed, login to view] http://help.autodesk.com/view/MAYAUL/2018/ENU//?guid=__files_GUID_C122F8DA_431C_4094_BA54_60B80495A734_htm Thanks, Richard

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    I have already completed for clustering with density peak. I find someone who is related to this field. Only man who is related to this field will be connected. Thank you.

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    This project involves setting up slave nodes, load balancers, ssh automation. Only bid if you have expertise in AWS. More details in Chat.

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    Hi Athanasios K., I noticed your profile and would like to offer you my project. We can discuss any details over chat.

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    I am a quantititative analyst, specialized on simulation intensive computational problems. For that I want to have an automatic (script-based) provisioning of an MPI Cluster, on EC2 or GCE. On these MPI nodes I want to run my libraries which use Python/C++/Cuda. The libraries build on my custom docker image, hence I guess containerized platforms like Kubernetes, Juju or else can be interesting to use (but I am open to hear about your proposals). Therefore, I would expect to work with a DevOps/HPC professional that can provide me with a working scripted solution: - to deploy automatically an MPI cluster on the cloud, with my library dependencies or my docker image. - to run and debug from my laptop or any other PC against the cluster I am happy to provide more info, if it is required.

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    This project deadline is 24 hours and requires a highly skilled c++ developer who knows opencv , opengl with good writing skills. He will be helping my code compile on my ubuntu system and has to read the code and understand the algorithms. This is highly urgent and must start working immediately. More details when we connect.

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    I need someone who knows cuda Programming

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    I want to learn how to run cuda MATLAB code.

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    1) Must be EU based due to nature of the project. Do not apply if not. 2) No agencies. Whatsoever. Freelancers only. • Applied knowledge of IBM z/OS; experience using ISPF, SDSF, JCL and SMP/e (*) • Applied knowledge of Advanced system-level z/OS Assembler (HLASM) Programming skills (*) • Applied knowledge of Advanced system-level z/OS XL C/C++; Metal C Programming skills; including use of POSIX Threads (*) • Advanced z/OS system level diagnostics, problem determination and debugging with experience in the use of z/OS console commands, IPCS and XDC (*) • Applied knowledge of IBM z/OS Assembler Programming – using 24, 31, and 64-bit memory models (*) • Applied knowledge of IBM z/OS Authorized Assembler Services (*) • Applied knowledge of z/OS DFSORT Application Exits (E15,E35) (*) • Demonstrable skills in debugging multi-tasking, multi-address space environments (*) • Applied knowledge or z/series I/O technology and z/OS implementation to include (*): • In-depth knowledge of z/OS DASD and Tape systems configurations • Knowledge of EXCP, Channel Programs and IO traces. • Applied Knowledge of Dataspaces, use of Coupling Facility structures and XCF; IP Socket layer communications including SNMP, SMTP (*) • Applied knowledge of z/OS TSO/E REXX (*) • Applied knowledge of z/OS UNIX System Services (*) • Applied knowledge of z/OS V2R2 ISPF Dialog development (*) • Web Development experience (*) • Strong English communication skills (*) • Commercial software vendor experience

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    cuda parallel programing. i have a school project that runs on visual studio 2010 in c languague. so far i developed the project with openMp. i need to parallel 3 or 2 functions from my code to cuda . i allready started the cuda ([url removed, login to view]) inside the sln project so you can start from there. i attach my project to here. no git copies will accepted and the cuda code should run in the project from the visual studio 2010 . i also attach inside the rar : the input([url removed, login to view]) and the output that should stay the same after using cuda!!! the functions that need to be convered to cuda are: evaluateQM(), calculateDiamisterOfClusters(), assignProductsToClusters()

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    We require a Python coded silent exploit builder to convert executable files extensions to .doc and PDF file extensions that can be opened with any version of MS office Word and adobe reader. Nowadays, organizations set Cyber Security as a major priority. We want to be aware of the vulnerabilities our systems may have, as they should. We want to be steps ahead and have the ability to expose all the vulnerabilities inside a PDF Reader and enhance your our security. Milestone will be created and will be released after you provide the full source code.

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    I would like to check the speedup when performing an interpolation of data in my shared memory. All the required data are available on the shared memory. Just interpolation is required followed by storing them to the global memory.

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    I am researcher in teh field of medical imaging and parallel computing. Ineed help for coding in implementing denoising filter for MR image. The dead line is 30th nov.

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    I want a perfect project running in Mininet / Opnet, that shows DDoS attack with some attacking tools. The model should consists of 100 nodes, where 35 are attacker PCs and rest are legitimate users. Legitimate users and attackers should be differentiated on the basis of their IP address / MAC address. A list of attackers should be generated. This list than should be used for mitigation of DDoS in future, by implementing a genetic algorithm. I wish to implement either Ant Colony algorithm or a Differential algorithm. Still implementing any genetic algorithm / machine learning algorithm other then the mentioned two is also okay! I want an original algorithmic set up in Cloud environment. Preferable coding is in JAVA and R studio programming is also acceptable. Working model with testbed setup, with documentation about explaining the steps of implementation are mandatory submission with the working project code. I even expect a paper or material the model must have been thought of implementing with a comparative analysis about how the model prepared is better than the other model that is already implemented. The above work in original is expected in 15 days.

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    link a python program and c++ programs involving graphs, creating a random generator that sends input to these programs.

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    This is straightforward assignment to derive secret using Quadratic Residue knowledge. Formula: c = (s ^ r) mod p - s is the secret (an integer) to be encrypted using above formula - r is a random 500-bit number - p is a random 500-bit prime number - c is the ciphertext computed using this formula Above design is vulnerable, because attacker can calculate the value of s if he/she got enough pairs of <c, p> values. There are 3 tasks: Part 1: Later, I will provide a text file of 30 groups of <c, p> values. We only know s is an integer in the interval of [2410, 2459], but do not know which value is it. The mission is to write a Python program to derive the value of s, using those 30 groups of <c, p> values as inputs. Remarks: 1. Hint: you MUST use the knowledge of Quadratic residue. I can provide some reference to explain Quadratic residue if you need. 2. I can provide a short and simple Python code that how c, r, and p are generated. 3. This is not a brute force mission. You cannot simply compute the values from 2410 to 2459 and compare the outputs. 4. After last, write a concise and clear summary of algorithm at comment or in a separate file. Part 2: In part 1, the 30 random r’s were chosen so that s can be identified. Actually, if the 30 r’s are chosen uniformly and randomly, then there is a chance that we cannot uniquely identify s using 30 tuples. The probability of successful identification increases with large number of <c, p> tuples. Based on part 1, the mission is to give the least number of tuples required in order to achieve 99% of success, and explain it. You can write down the answer analytically without writing a new code. Part 3: Same as part 2, but the interval size of s increases into 10^6. The mission is still to write down the answer analytically.

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    Cuda Expert Needed Ended
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    Hi. How are you? I need a senior cuda developer needed for ongoing project. Will share Details on PM. Looking forward to hear from you back soon.

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