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Getting Started With Accelerated Computing With CUDA C/C++

Getting Started With Accelerated Computing With CUDA C/C++

NVIDIA NIC-NVI-GSAC

USD 90.00
excl. VAT

Discover how to accelerate and optimize existing C/ C++ CPU-only applications to leverage the power of GPUs using the most essential CUDA techniques and the Nsight Systems profiler.

Course Prerequisites

  • Basic C/C++ competency, including familiarity with variable types, loops, conditional statements, functions, and array manipulations.
  • No previous knowledge of CUDA programming is assumed.

What you will learn

By enrolling in this course you will be learning how to:

  • Parallelize applications to run on GPUs
  • Optimize applications by using CUDA techniques like memory management
  • Use techniques like concurrency and CUDA streams
  • Use tools like Nsight Systems to profile and identify bottlenecks

Additional information

The minimum order quantity for NVIDIA self-paced courses is 10.
When adding a course to the shopping cart, a quantity of 10 is automatically added. It may also take 2-3 working days for your course access to be activated. You will receive an email from us with all the necessary information.

Industry Partners

NVIDIA
Institution
NVIDIA
The institution that is responsible for the courseware (and lab environment, if included) of this learning product.
E-learning Format
Self-paced (SP)
Language
English
Subscription duration
180 days
The time you will have access to the learning product once it has been activated.
Grace Period
30 days
Grace Period is the time between booking and automatic activation. After completing your order, you usually have 30 days until a product is automatically activated and the official subscription period begins.
Total effort
8 hours
The estimated total effort it will take you to complete the learning product.