Learn CUDA with Docker! free ebook download.

Home : Book details

Learn CUDA with Docker! free ebook download

Category:
Video (tutorials, how-to, etc.)

Views: 40
Likes: 41

Catalogue

Author(s):	Udemy

Date:	2022	Format:	MP4	Language:	English	ISBN/ASIN:	0000000000
Pages:		OCR:		Quality:		ISBN13:
Uploader:	oblivion	Upload Date:	1/9/2022 1:10:52 AM

To download click on link in the Links Table below

Description: Click to see full description

Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 1 GB
Genre: eLearning Video | Duration: 44 lectures (2 hour, 58 mins) | Language: English
Learrn to Code with CUDA with GPGPU-Simulators & Docker, Kickstart Your Computing and Data Science Career!

What you'll learn
How to code with CUDA, but without a GPU!
Basic knowladge about CUDA programming
Ability to desing and implement CUDA parallel algorithms
Description
WELCOME!
We present you the long waited approach to Learn CUDA WITHOUT NVIDIA GPUS! Finally, you can learn CUDA just on your laptop, tablet or even on your mobile, and that's it! CUDA provides a general-purpose programming model which gives you access to the tremendous computational power of modern GPUs, as well as powerful libraries for machine learning, image processing, linear algebra, and parallel algorithms.
WHAT DO YOU LEARN?

Virtualization basics
Docker Essentials
GPU Basics
CUDA Installation
CUDA Toolkit
CUDA Threads and Blocks in various combinations
CUDA Coding Examples
Based on your earlier feedback, we are introducing a Zoom live class lecture series on this course through which we will explain different aspects of the Parallel and distributed computing and the High Performance Computing (HPC) systems software stack: Slurm, PBS Pro, OpenMP, MPI and CUDA! Live classes will be delivered through the Scientific Programming School, which is an interactive and advanced e-learning platform for learning scientific coding. Students purchasing this course will receive free access to the interactive version (with Scientific code playgrounds) of this course from the Scientific Programming School (SCIENTIFIC PROGRAMMING IO) . Instructions to join are given in the bonus content section.
Who this course is for:
Any one who wants to learn CUDA programming, but does NOT have access to expensive GPUs

Links Table

	Title	Link	Password	Size (MB)	Thank to	Inform Admin
3071861	Part 1	https://nitro.download/view/6A3C38F7A848...		995.00	oblivion
3071862	Part 2	https://nitro.download/view/FF53FEE7C5CA...		34.43	oblivion

Tags: CUDA Docker Learn

Title	Link	Password	Size	Reason

Those who downloaded this book also downloaded the following books:
Comments

New comment: