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RAJA versions of proxy applications Contribute to LLNL RAJAProxies development by creating an account on GitHub
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The RAJA Performance Suite is a companion project to the RAJA C performance portability abstraction library The Performance Suite designed to eplore performance of loop based computational kernels found in HPC applications
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RAJA RAJA 2024 07 0 documentation Read the Docs
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The RAJA Performance Suite code is hosted on the GitHub RAJA Performance Suite project To get the code clone the repository into a local working space using the command
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RAJA Performance Portability Layer C Contribute to LLNL RAJA development by creating an account on GitHub
RAJA is one C abstraction layer that helps address this performance portability challenge RAJA provides portable abstractions for simple and complex loops as well reductions scans atomic operations sorts data layouts views and loop iteration spaces as well as compile time loop transformations
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RAJA is a library of C software abstractions primarily developed at Lawrence Livermore National Laboratory LLNL that enables architecture and programming model portability for HPC applications RAJA has two main goals To achieve performance comparable to using common programming models such as OpenMP CUDA etc directly
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The RAJA code lives in a GitHub repository The RAJA User Guide and Tutorial is the best place to start learning about RAJA and how to use it The tutorial materials in this project complement the online User Guide
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