Contrata a los mejores Desarrolladores de CUDA

Los 6 principales Desarrolladores de CUDA contratados este mes

  • Foto de perfil de ThanassisKalv
    Freelancer en Thessaloniki, Greece
    Comentarios de 51

    Mostly interested and motivated in parallel computing ( OpenCL/CUDA/Multithreading, HPC) on concepts about DSP, AI, image processing, machine learning, cryptography. I have experience using libraries targeted for fast GPU development like Cublas/CuFFT/Thrust. Other objective is to expand my experience in other...

  • Foto de perfil de usamamw141
    Freelancer en Lahore, Pakistan
    Comentarios de 27

    Hi there! We are a team of freelancers are we are here to solve your problems related to programming, web, graphic designing and much more. Our services are: - C and C++ Programming/Projects. - Java Programming/Projects. - Bug Fixing - Android development - E commerce site development or online store - Graphic...

  • Foto de perfil de nurutrip
    Freelancer en georgetown, Malaysia
    Comentarios de 83

    I have the high skills in the following fields, pattern recognition, image processing, C++ and Matlab algorithm, statistical analysis. I have the rich experiences in the license plate recognition, the handwriting identification, fingerprint recognition, the Matlab programming. I'll do the best for you.

  • Foto de perfil de tamnt027
    Freelancer en Ho Chi Minh, Vietnam
    Comentarios de 8

    GPUGPU Developer Parallel Algorithm C/C++ Programming _______________________________________________________________________________________

  • Foto de perfil de taingocnguyen12
    Freelancer en ho chi minh city, Vietnam
    Comentarios de 3

    Dear, I'm a senior CUDA C/C++ developer about more 3 years. I have good skill and full experiences to use CUDA C/C++ , IPP( Intel parallel) and SIMD. In besides, my Matlab & Mathematics and skills are well. Also, I have understanding the software process, unit test, interactions test. And analytical different data...

  • Foto de perfil de lingung525
    Freelancer en hongkon, China
    Comentarios de 1

    We are very professional in following language: -PHP/MySQL/JSON/XML/HTML5/Jquery/Javascript/CSS/Ajax... - ObjectiveC, XCode, Java, Cocos2D, Box2D, Unity3D, Cocos2D-X -Matlab, C/ C++/ C#, fortran, VB, Java, Python, R language. What is your Idea? We can implement your idea with high level. Web and, mobile app ...


Encontrando Desarrolladores de CUDA en Freelancer

In simple terms “CUDA is an API Model and parallel computing platform which has been developed by NVIDIA”. CUDA enabled graphic processing unit which is used to carry out all-purpose function processing and is normally known as GPGPU.

Designing of CUDA is done to ensure its smooth compatibility and working with a number of programming languages including FORTRAN, C++, C and others. Direct 3D and OpenGL which were the formerly launched products of API solutions demanded highly developed and sophisticated set of skills in graphic programming. CUDA was released into market to provide an uncomplicated alternative for parallel programming experts to make the most of GPU resources. Programming frameworks like Open ACC and OpenCL are also supported by CUDA.

Windows XP, Windows Vista, Windows7, Linux and OS x are the supported operating systems with CUDA. Both 32-bit and 64-bit versions are well aided and facilitated by these operating systems. CUDA supports a range of applications like Badaboook (video calling), MotionDSP (vReal), Arcsoft (simHD), Cyberlink (PowerDirector &) and Pegasys (TMPGEnc 4.0 Xpress).

Benefits and Application of CUDA

Using graphic APIs CUDA is found to have numerous benefits over traditional purpose computation:

  • Amalgamated essential memory present in CUDA 4.0 version and succeeded versions.

  • Incorporated memory present in CUDA 6.0 version and latest versions

  • Pooled/ shared memory available to be mutually used amongst threads

  • Enabling quicker downloads and rapid checking of readbacks with GPU

  • It contains integer texture lookup offering complete help for bitwise and integers operations and working

  • Scattered reads enabling the code to be read from any arbitrary location in memory

CUDA has profound applications in countless fields including:

  • Biology

  • Chemistry

  • Physics

  • Data mining

  • Astronomy

  • Manufacturing

  • Finance and other calculation demanding fields


Due to an immensely rising need of CUDA experts 350 universities around the globe are offering relevant certifications. Hundreds and thousands of papers related to CUDA have been published and following programs are the latest upgrades to help improve individual skills and knowledge base.

  • CUDA Certification Program - the program aims at certifying specialists in massively parallel programming on GPUs. The certification is designed to meet up the rising demand of GPGPU engineers

  • CUDA Research Centres - this program acknowledges establishments that hold GPU Computing across multiple research fields

  • CUDA Teaching Centres - this officially imply institutions that have included GPU Computing techniques into their mainstream computer programming core curriculum

Facing Difficulty in Finding The CUDA Expert?

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