CUDA stands for Compute Unified Device Architecture, it is an extension of the C programming language, created by nVidia. This is a parallel computing platform and programming model that simplifies using a GPU for general purpose computing. CUDA provides the utilizing of multiple computing cores in the GPU to perform general-purpose mathematical calculations, achieving significant dramatic speedups in computing performance. CUDA is used for scientific and research applications in such areas as medical imaging, financial modeling, and energy exploration. It also helps to develop a new generation of end-user consumer applications in such areas as video conversion for mobile devices and improved video quality on a PC. CUDA architecture supports various programming environments, including OpenCL and DirectX Compute and standard programming languages such as C, C++, and Fortran. Scattered readings, which mean that the code can be read from arbitrary addresses in memory, unified memory, shared memory, faster loading and readbacks to and from the GPU, full support for integer and bitwise operations are among the advantages of CUDA.
CUDA Development Services
Need a CUDA developer for your business? You clearly came to the relevant vendor. “Echo Ukraine” provides IT staffing services and project based programming. We pleasantly help you to get the relevant worker or a team for remote development. All our coders are accomplished experts proficient in creating custom-built apps using the most recent trends, including CUDA, .NET, Erlang, Opencart, Moodle, Cucumber, ASP.NET MVC, iBeacon, ABAP, JQuery, Chrome Extension. You can also select us as a CUDA development partner and delegate full-cycle development services to us.
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We help you execute your ideas by preparing proved CUDA programmers who can contribute to your forces and promptly start delivering first-rate service. Get in touch with us and look over the CVs of candidates available for employment at the moment. Also, you can read “CUDA Developer Salary in the US and UK compare to Ukraine” to reveal the true cost of hiring.
TOP5 CUDA Programmers in May 2019
1 Mykola P.,Age: 25, E-mail: email@example.com,
Skills: C++, C++ (STL), CUDA
Contact Us to Get the Full CV (ID 554851)
2 Dmitrii M.,Age: 24, E-mail: firstname.lastname@example.org,
Skills: Java, C++, CUDA
Contact Us to Get the Full CV (ID 552924)
3 Vtali P.,Age: 25, E-mail: email@example.com,
Skills: Python, C++, CUDA
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4 Kostiantyn B.,Age: 32, E-mail: firstname.lastname@example.org,
Skills: C++, CUDA
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Questions and Answers related to CUDA Development
What are the advantages of learning Nvidia Cuda and what are the career options for CUDA Developers?
“Basically CUDA is one of the Parallel Computing language through which you can make programs faster. I mean you can achieve Speed Up in computing. CUDA is dependent on NVIDIA’s GPU card. If you have interest to pursue Parallel Computing then you need to know about CUDA, as it helps you to get a job related to it.”
What are some CUDA tricks and optimizations?
“Understanding the CUDA memory model is key to many optimizations. Consider accesses to global memory. Whenever possible, it is much better for threads in the same warp to access adjacent memory locations on a given instruction than it is for them to access non-adjacent locations. This is because accesses to adjacent locations can be coalesced into one single request for a cache line, which will service all the individual requests in one go.”
What is the best way to learn CUDA?
“If you want to quickly accelerate your application code, then try the Accelerated Libraries like CUBLAS, CuFFT, CuDNN, CULA, ArrayFire, CuSPARSE, OPENCV, etc. This is highly recommended.If you want to learn from the basics, try coursera course “Heterogeneous Parallel Programming”. There are assignments, quiz etc. For a beginner, the book “CUDA by Example” is good to start. As you get comfortable of syntax and pointers, try “Programming Massively Parallel Processors: A Hands-on Approach” book. NVIDIA CUDA Resources will help in getting started.”
Parallel Computing: CUDA vs OpenCL: what is the most efficient?
“Currently CUDA is more efficient in terms of development cost and execution time since it has more uniform structure with its unique CUDA devices and environment. OpenCL tries to keep up all the GPU devices thus their doing is even longer for all the configuration needs and the execution time is relatively more costly. I suggest to go with CUDA if you have compatible device otherwise the only choice is OpenCL…”
What are the best books to study CUDA?
Consider asking some of these questions during a job interview to assess candidate’s skills.
Big Names Using CUDA
What Fortune 500 companies are using CUDA in production among other popular technologies? A good example is Bayer (www.bayer.com).
Bayer – Global Home. We exist to help people thrive – Advancing health and nutrition is what we do best and care about most.
Typical Programming Projects and Tasks for CUDA Developers
Devops Engineer For Server And Application Management
I have several applications which uses AI frameworks (Python, Tensorflow etc) Big Data Frameworks, (Hadoop Mapreduce etc) and Web/Mobile (Rails,Angular, React etc) applications . Taking these ... (United States)
CUDA Integration For Industrial Application
Integrate CUDA C++ application into robust services architecture. Improve start-up performance related to loading calibration data into memory Improve multithreaded performance Improve logging ... (United States)
Virtual Camera Video Distortion For Close To Lens Action
We need development for a natural look & feel of our stitched video from 2 ip cameras. The problem we are facing is that the end result of our virtual camera doesn't look very natural. We are facing ... (Netherlands)
Parallel Programming Using CUDA
I would like someone to have proper knowledge of CUDA and parallel programming and must be deliver work on time ... (United States)
These results are based on the freelance CUDA jobs extracted from Upwork in May 2019.
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What is CUDA? CUDA Architecture Expose GPU computing for general purpose Retain performance CUDA C/C++ Based on industry-standard C/C++ Small set of extensions to enable heterogeneous programming Straightforward APIs to manage devices, memory etc. This session introduces CUDA C/C++ Software Engineering Stack Exchange is a question and answer site for professionals, academics, and students working within the systems development life cycle. Join them; it only takes a minute: Is there a good site to hire programmers for little projects? [closed] How important is a good coding style for the decision to hire a Post your C++ project for free and connect with professionals from around the world. Skip to main content. Upwork Close navigation. Submit search Hire the best C++ Developers Work with expert freelancers on Upwork — the top freelancing website for short-term tasks, recurring development and coding experience. I have a deep Using Template classes in cuda / c++ code. I’m new to coding in cuda, (and not massively experienced in c++) so i’ve been reading around to try and find a solution to this problem, but dont generally understand what people try and explain, and have yet to get it working. Performance Standards for Coding Professionals Coding professionals should be given an incentive to learn and retain coding rules and tidbits that will optimize their coding and reduce the time spent using references or depending on technology. Respondents were from approximately 28 organizations including clients of First Class Hire the top 3% of freelance CUDA developers. Toptal is a marketplace for top CUDA developers, engineers, programmers, coders, architects, and consultants. Top companies and start-ups choose Toptal CUDA freelancers for their mission-critical software projects. CPC (Certified Professional Coder) program is our most popular program. We offer CPC classroom courses, CPC boot camps, CPC online courses, and onsite CPC training. COC (Certified Outpatient Coder) is also a popular course preparing coders for entry into the outpatient hospital world of coding.