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.
WHY YOU SHOULD WORK WITH US :
- Top-rated Ukrainian experts with over 3 yrs of business experience.
- Talent retention best methods to make sure your developers stay contented.
- Dedicated client supervisors to ensure smooth communication.
- Flexible agreement with predictable bi-weekly payments.
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 February 2018
1 Mykola P.,Age: 24, E-mail: firstname.lastname@example.org,
Skills: C++, C++ (STL), CUDA
Contact Us to Get the Full CV (ID 554851)
2 Dmitrii M.,Age: 23, E-mail: email@example.com,
Skills: Java, C++, CUDA
Contact Us to Get the Full CV (ID 552924)
3 Vtali P.,Age: 24, E-mail: firstname.lastname@example.org,
Skills: Python, C++, CUDA
Contact Us to Get the Full CV (ID 552916)
4 Kostiantyn B.,Age: 31, E-mail: email@example.com,
Skills: C++, CUDA
Contact Us to Get the Full CV (ID 552914)
5 Viacheslav K.,Age: 28, E-mail: firstname.lastname@example.org,
Skills: Java, C++, CUDA
Contact Us to Get the Full CV (ID 552911)
Questions and Answers related to CUDA Development
“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.”
“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.”
“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.”
“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…”
Consider asking some of these questions during a job interview to assess candidate’s skills.