Nvidia Jetson Cuda

Cross compilation compiling code on an x86 desktop in a special way so it can execute on the jetson tk1 target device.

Nvidia jetson cuda. Nvidia tegra x1 cuda driver version runtime version 10 0 10 0 cuda capability major minor version number. The development process is simplified with support for cloud native technologies and developers can go even further with gpu accelerated libraries and sdks. Gpu technology conference nvidia today announced the jetson nano an ai computer that makes it possible to create millions of intelligent systems. Native compilation compiling code onboard the jetson tk1.

3957 mbytes 4148756480 bytes 1 multiprocessors 128 cuda cores mp. Nvidia jetson agx xavier starting with cuda 9 x and from xavier on cache coherence between cpus and gpu is done via hardware through the the host cpu cache. Full support for all major cpu architectures including x86 64 arm64 server and power architectures. You have two options for developing cuda applications for jetson tk1.

With cuda developers are able to dramatically speed up computing applications by harnessing the power of gpus. Updates to the nsight product family of tools for tracing profiling and debugging cuda applications. The installation process on the jetson platform is also quite simple. The small but powerful cuda x ai computer delivers 472 gflops of compute performance for running modern ai workloads and is highly power efficient consuming as little as 5 watts.

Native compilation is generally the easiest option but takes longer to compile whereas cross compilation is typically more complex to. In this post i will walk you through the process of remote developing cuda applications for the nvidia. Cuda device query runtime api version cudart static linking detected 1 cuda capable device s device 0. Copy the following code into your terminal then execute.

5 3 total amount of global memory. A cuda kernel function is the c c function invoked by the host cpu but runs on the device gpu. It includes a familiar linux environment and brings to each jetson developer the same nvidia cuda x software and tools used by professionals around the world. Nvidia jetpack enables a new world of projects with fast and efficient ai.

The call functionname num blocks threads per block arg1 arg2 invokes a kernel function. 128 cuda cores gpu max clock rate. In gpu accelerated applications the sequential part of the workload runs on the cpu which is optimized for single threaded. Unveiled at the gpu technology conference by nvidia founder.

Cuda is a parallel computing platform and programming model developed by nvidia for general computing on graphical processing units gpus. The keyword global is the function type qualifier that declares a function to be a cuda kernel function meant to run on the gpu. Nvidia nsight eclipse edition is a full featured integrated development environment that lets you easily develop cuda applications for either your local x86 system or a remote x86 or arm target.