Package installs all the packages required for cross-platform development on ARMv7. On supported platforms, the cuda-cross-armhf Such as the i386 and x86_64 CUDA libraries. The cuda-cross package installs all the packages required for cross-platform developments, It also includes the NVIDIA driver package. That includes the compiler, the debugger, the profiler, the math libraries.įor x86 patforms, this also include NSight Eclipse Edition and the visual profiler The cuda package installs all the available packages for native developments. Those two packages will install the full set of other CUDA packages required for development and should cover most scenarios
The recommended installation packages are cuda and cuda-cross. This guide will show you how to install and check the correct operation of the CUDA development tools. The on-chip shared memory allows parallel tasks running on theseĬores to share data without sending it over the system memory bus. Resources including a register file and a shared memory. This configuration also allows simultaneousĬomputation on the CPU and GPU without contention for memory resources.ĬUDA-capable GPUs have hundreds of cores that can collectively run thousands of computing threads. The CPU and GPU are treated as separate devices that have their own memory spaces. As such, CUDA can be incrementally applied to existing applications. The CPU, and parallel portions are offloaded to the GPU.
Serial portions of applications are run on
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