CArMA » Historique » Révision 7
Révision 6 (Damien Gratadour, 10/11/2013 15:13) → Révision 7/8 (Damien Gratadour, 10/11/2013 15:23)
h1. CArMA
CArMA is the C++ API for Massively parallel Applications. It provides a set of C++ classes for an easy integration of GPU accelerated numerical tools into complex applications.
CArMA is built on top of the CUDA toolkit from NVIDIA. CUDA provides a large collection of tools to perform scientific computing (CuFFT, CuBLAS, CuRAND). Moreover, several libraries like MAGMA have been developed using CUDA and provide additional features very useful for scientific computing.
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The goal of CArMA is to provide an easy access to rather low level GPU features through the use of C++ classes. 3 classes are used to control the CUDA context:
* the CArMA device providing information on a specific device
* the CArMA context itself, regrouping the information about the overall system configuration
* the CArMA streams, containers for a collection of wrappers to CUDA streams
CArMA provides also 2 main classes for the handling of data on the GPU memory and the system memory:
* the CArMA object providing a container for the manipulation of data on the GPU
* the CArMA host object, providing a container for data on the system memory tagged and aligned so as to be accessed by the GPU DMA engine
Additionally, CArMA provides a set of wrappers to various libraries part of or based on the CUDA toolkit to manipulate CArMA objects and perform optimized computations.