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GPU Programming

42,570 +

  • TollFree (USA/CANADA) : 1-877-962-3568


    NOTE- You will be given a reference e-book to read which has 226 pages And the test will be based on that e-book , you can take the test only after 10 days Of purchase.

    What is GPU (Graphics Processing Units) Programming?

    GPU Programming is related to programming for systems that is supported across multiple platforms for computer graphics rendering applications programming interface development as well as using the graphics modules of the hardware infrastructures in best and efficient ways. Algorithms which run over GPU can be boosted up-to 100 times just like we can observe in the case of CPU algorithms by including many existing application of simulations for Physics, signal processing, neural networks, financial modeling and so many other fields. GPU programming with CUDA toolkit from NVIDIA is used with best programming with incorporation of C/C++ codes as well as efficient graphics acceleration techniques. GPU can effectively be used for massive parallel power capturing with few syntactic elements as well as calling functions from the CUDA API. GPU Programming can also be used to boost or get the optimal performance of 3D rendered hard-wares and soft-wares.

    Brainmeasures GPU Programming Certification Program

    Becoming a certified GPU Programmer is a unique one in the field of programming and graphics hardware acceleration development. Brainmeasures is the platform that provides you with the best certification program to enhance your capabilities in the field of graphics enhancement techniques and programming skills. GPU Programming certification is a different in terms of its techniques and delivery of knowledge with best expertise. In addition to course mechanics, an online exam is also covered to hone your knowledge and skills of GPU Programming understanding and its efficient application.

    Highlights of the GPU Programming Certification Program from Brainmeasures

    The comprehensiveness and detailed nature of the GPU Programming certification program developed by Brainmeasures are among the major reasons that attracts the experts and researchers of this field. The course is designed by the experts of computer graphics with strong background of electronics and IT. So, don’t miss this opportunity and get enrollment in the course after registering yourself at Brainmeasures if you want to go through its detailed syllabus with study guidelines. Mentioned below are some important topics of the course that you will study during the journey of GPU Programming at Brainmeasures:

    • Introduction to GPU Programming
    • Major uses of GPU Programming
    • What are different programming techniques for GPU
    • How GPU Programming can be best utilized in open source environment
    • Introduction about CUDA
    • How CUDA handbook library can be used efficiently and effectively for GPU Programming
    • Understanding about different coding styles and CUDA software development toolkit
    • Guidelines about hardware architecture
    • Front-end and back-end functions
    • Integration with GPUs and role of multiple GPUs
    • A brief introduction about virtual addressing
    • Mapping techniques
    • Difference between CPU/GPU environment
    • How CPU and GPU interact with each other
    • GPU architecture and synchronization procedure
    • Inter and intra GPU platforms
    • Software layering and architecture synchronization with GPU
    • GPU Programming and processing in absence of CUDA
    • CUDA driver and API
    • What is cuodjdump and nvidia-smi
    • What are different command line tools
    • Key pairing procedure
    • EC2 and it environment for Linux and Windows
    • Memory types and mapping techniques
    • How to enhance and optimize memory bandwidth
    • Correction codes for errors (ECC)
    • What is the difference between constant and access memory and how to use them efficiently and effectively
    • Streaming and events handling in GPU Programming
    • CPU/GPU synchronization and blocking events
    • What is the syntax for kernel execution
    • Coherent and cache analysis
    • Streaming multiprocessors procedure
    • Concept of memory and registers
    • What is funnel shift
    • Role of floating point support
    • Understanding about different types of precisions (i.e. single, double and half)
    • Conditional coding for prediction, divergence and convergence
    • What are the different types of primitives
    • Working with multiple GPUs and how to program them efficiently
    • Peer-to-Peer memory copy and addressing procedure
    • Texturing and its procedure in GPU Programming
    • Effectively use 2D and 3D texturing
    • How to efficiently manage the streaming workloads
    • Understanding about scan and circuit design
    • CUDA and reduce then scan strategies
    • What is instructions counts and stream compaction
    • Understanding about the concept of Naïve forecasting and implementation in GPU Programming
    • Scalability and CPU optimization
    • Image processing techniques
    • Complete guide for CUDA and its environment

    Beneficiaries of the GPU Programming Certification Program

    As GPUs are becoming important especially in embedded and smart technology based devices, so enrolling the course of GPU Programming will give an exposure and deep understanding of efficient programming for graphics rendering and related hardware acceleration for computer applications, smart phones applications and video game consoles etc. This certification program especially designed for computer graphics experts, video games programmers, software engineers, GPU programmers, smart phones and tablets programmers, windows utility software programmers, web programmers, web masters, IT experts and students who are eager to develop their career in the field of hardware graphics acceleration and software engineering.

    Job Opportunities after Completing the GPU Programming Certification Course

    This is one fastest growing area in graphics, hardware and software engineering as well as in the area of mobile applications development. So, getting the certification of GPU Programming guarantees you a promising future with lot of opportunities for career development. You may entitled one of the following designation after completing the certification course at Brainmeasures:

    • GPU Programming Developer
    • GPU Architecture Designer
    • Certified GPU Programming Expert
    • GPU Graphics Acceleration Programmer
    • Graphics Programming Mentor
    • GPU Software Engineer
    • GPU Architect
    • Hardware Acceleration Graphics Engineer
    • GPU Programming Consultant
    • 2D and 3D Video Games Graphics Expert
    • Web Programmer
    • Webmaster
    • CUDA Toolkit Expert
    • CUDA SDK Expert
    • GPU and CPU Optimizer

    Expected Salary for GPU Programming Certification Holders

    As this certification holds its multidimensional and multidisciplinary applications, therefore expected salary will be varied according to each industry and field of the certificate holder. However, an average expected salary for a GPU Programmer or GPU Expert with comprehensive command over advanced features is expected around $88,000-$145,000 per year which varies according to the nature of business, related field and reputation of the company in the related field, level of competition as well as experience of the individuals who are providing their services or employed in different companies.

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