Nvidia Cuda Ppt

Expose gpu parallelism for general purpose computing.

Nvidia cuda ppt. 27 cudnn v2 performance cpu is 16 core haswell e5 2698 at 2 3 ghz with 3 6 ghz turbo gpu is nvidia titan x 28. Cuda is a parallel computing platform and programming model developed by nvidia for general computing on graphical processing units gpus. Gtc is the must attend event for developers researchers engineers and innovators looking to exchange ideas enhance their skills and discover the latest breakthroughs in ai hpc data science graphics and more. A quiet revolution and potential build up g80 numbers calculation 544 gflops vs.

But cuda programming has gotten easier and gpus have gotten much faster so it s time for an updated and even easier introduction. Introduction to nvidia cuda 1 introduction to nvidia cuda 2 why massively parallel processor gtx 680. Using cuda one can utilize the power of nvidia gpus to perform general computing tasks such as multiplying matrices and performing other linear algebra operations instead of just doing graphical calculations. Seminar 11 cudawhat is cuda.

In gpu accelerated applications the sequential part of the workload runs on the cpu which is optimized for single threaded. 264 96 gflops fp 64 memory bandwidth 153 6gb s vs. Opengl can use a registered buffer only as a source unregister the buffer prior to rendering to it by opengl map the buffer object to cuda memorymap the buffer object to cuda memory cudaglmapbufferobject void devptr gluint buffobj. Cuda compute unified device architecture hardware and software architecture for computing on the gpu developed by nvidia in 2007 gpu do massive amount of task simultaneously and quickly by using several alus alus are programmable by graphics api3 17 2012 3.

11 image classification object. 2010 2011 nvidia corporation cuda programing system for machines with gpus programminglanguage. With cuda developers are able to dramatically speed up computing applications by harnessing the power of gpus. Until recently programmed through graphics api.

Register a buffer object with cuda cud glr i t b ff obj t gl i t b ffobj daglregisterbufferobject gluint buffobj. Accelerating machine learning cuda for deep learning 11. Based on industry standard c c. This post is a super simple introduction to cuda the popular parallel computing platform and programming model from nvidia.

Cuda is a parallel computing platform and an api model that was developed by nvidia. Join us online this week october 5 9 for hundreds of live and on demand sessions available in multiple time zones.