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Code Coverage for CUDA NVIDIA: Host and GPU Device Testing Made Simple

Code Coverage for CUDA NVIDIA GPU Host and Device. Code coverage for CUDA NVIDIA ( GPU code) is crucial for several reasons, especially given the increasing complexity and criticality of GPU-accelerated applications in this age. Here’s why it’s important and how it helps in the context of software development related…

GTest Tutorials
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Gtest Tutorial

Google test is Google’s C++ test framework for creating unit tests, and is also known as GTest. It is based on xUnit architecture, where xUnit architecture is a set of frameworks for creating and executing unit tests. The Gtest framework helps in creating and executing C++ unit tests. Since it…

Tools for Code Coverage
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Tools for Code Coverage

Code coverage measures the extent to which your source code has been tested. It’s crucial to evaluate the quality of your tests and their effectiveness on your software source code, ultimately determining the quality of your project. Code Coverage analysis is performed with the help of software, which is called…