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Get hands-on practice working with cloud technologies and software. Train on-demand and learn at your own pace. Choose from a variety of Learning Quests to guide you.

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Learn how to program GPUs with C/C++. With millions of GPU compute enabled GPUs sold to date, software developers, scientists and researchers are finding broad-ranging uses for GPU computing - Learn More

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Total Labs: 4
Total Lab Credits: 55
Total Time: 05 h:42 m
Badge Earned:
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Learn how to program GPUs with Python. With millions of GPU compute enabled GPUs sold to date, software developers, scientists and researchers are finding broad-ranging uses for GPU computing - Learn More

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Total Labs: 2
Total Lab Credits: 30
Total Time: 01 h:48 m
Badge Earned:
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Learn how to program GPUs with Fortran. With millions of GPU compute enabled GPUs sold to date, software developers, scientists and researchers are finding broad-ranging uses for GPU computing - Learn More

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Total Labs: 3
Total Lab Credits: 40
Total Time: 04 h:26 m
Badge Earned:
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Using MATLAB for GPU computing lets you accelerate your applications with GPUs more easily than by using C or Fortran. With the familiar MATLAB language you can take advantage of the CUDA GPU computing technology without having to learn the intricacies of GPU architectures or low-level GPU computing libraries.

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Total Labs: 1
Total Lab Credits: 10
Total Time: 00 h:53 m
Badge Earned:
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Learn how to program GPUs with Libraries in C/C++. With millions of GPU compute enabled GPUs sold to date, software developers, scientists and researchers are finding broad-ranging uses for GPU computing - Learn More

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Total Labs: 3
Total Lab Credits: 40
Total Time: 04 h:09 m
Badge Earned:
Badge-nvidia-libraries-cpp
Learn how to program GPUs with CUDA C/C++. With millions of GPU compute enabled GPUs sold to date, software developers, scientists and researchers are finding broad-ranging uses for GPU computing - Learn More

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Total Labs: 3
Total Lab Credits: 45
Total Time: 04 h:39 m
Badge Earned:
Badge-nvidia-cuda-cpp
OpenACC is an accelerator programming standard that enables scientific and technical Fortran, C and (increasingly) C++ programmers to easily take advantage of the power of heterogeneous CPU/accelerator systems. OpenACC allows programmers to use simple compiler directives to identify which areas of code to accelerate, without requiring modification to the underlying code itself. By identifying parallel code segments, OpenACC directives allow the compiler to do the detailed work of mapping the computation onto the accelerator.

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Total Labs: 2
Total Lab Credits: 30
Total Time: 03 h:06 m
Badge Earned:
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The “Introduction to AWS” series of labs helps you get started with new AWS services in minutes. Choose from 3 introductory labs to learn about AWS Cloud Services and Software.

Available anywhere, anytime. Online self-paced labs give you freedom to take training on-demand and learn at your own pace. Try one today!


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