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Instructor-Led Workshop
Fundamentals of Accelerated Computing with CUDA C/C++

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This workshop teaches the fundamental tools and techniques for accelerating C/C++ applications to run on massively parallel GPUs with CUDA^®. You’ll learn how to write code, configure code parallelization with CUDA, optimize memory migration between the CPU and GPU accelerator, and implement the workflow that you’ve learned on a new task—accelerating a fully functional, but CPU-only, particle simulator for observable massive performance gains. At the end of the workshop, you’ll have access to additional resources to create new GPU-accelerated applications on your own.

Learning Objectives

At the conclusion of the workshop, you’ll have an understanding of the fundamental tools and techniques for GPU-accelerating C/C++ applications with CUDA and be able to:

Write code to be executed by a GPU accelerator
Expose and express data and instruction-level parallelism in C/C++ applications using CUDA
Utilize CUDA-managed memory and optimize memory migration using asynchronous prefetching
Leverage command-line and visual profilers to guide your work
Utilize concurrent streams for instruction-level parallelism
Write GPU-accelerated CUDA C/C++ applications, or refactor existing CPU-only applications, using a profile-driven approach

Download workshop datasheet (PDF 70 KB)

Workshop Outline

Introduction (15 mins)	Meet the instructor. Create an account at courses.nvidia.com/join
Accelerating Applications with CUDA C/C++ (120 mins)	Learn the essential syntax and concepts to be able to write GPU-enabled C/C++ applications with CUDA: Write, compile, and run GPU code. Control parallel thread hierarchy. Allocate and free memory for the GPU.
Break (60 mins)
Managing Accelerated Application Memory with CUDA C/C++ (120 mins)	Learn the command-line profiler and CUDA-managed memory, focusing on observation-driven application improvements and a deep understanding of managed memory behavior: Profile CUDA code with the command-line profiler. Go deep on unified memory. Optimize unified memory management.
Break (15 mins)
Asynchronous Streaming and Visual Profiling for Accelerated Applications with CUDA C/C++ (120 mins)	Identify opportunities for improved memory management and instruction-level parallelism: Profile CUDA code with NVIDIA Nsight Systems. Use concurrent CUDA streams.
Final Review (15 mins)	Review key learnings and wrap up questions. Complete the assessment to earn a certificate. Take the workshop survey.

Workshop Details

Duration: 8 hours

Price: Contact us for pricing.

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

Technologies: NVIDIA^® Nsight^™, nsys

Certificate: Upon successful completion of the assessment, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency and support professional career growth.

Hardware Requirements: Desktop or laptop computer capable of running the latest version of Chrome or Firefox. Each participant will be provided with dedicated access to a fully configured, GPU-accelerated server in the cloud.

Languages: English, Japanese, Korean, Simplified Chinese, Traditional Chinese

Upcoming Workshops

Pacific Time

GTC

Tue, Apr 13, 2021

9:00 a.m.–5:00 p.m.

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Central European Time

GTC

Tue, Apr 13, 2021

9:00 a.m.–5:00 p.m.

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Pacific Time

Tue, Jun 8, 2021

9:00 a.m.–5:00 p.m.

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Upcoming Public Workshops

North America / Latin America

Thursday, November 18, 2021
7:00 a.m.–3:00 p.m. PST

If your organization is interested in boosting and developing key skills in AI, accelerated data science, or accelerated computing, you can request instructor-led training from the NVIDIA DLI.

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Instructor-Led Workshop
Fundamentals of Accelerated Computing with CUDA C/C++

Learning Objectives

Workshop Outline

Workshop Details

Upcoming Workshops

Tue, Apr 13, 2021

Tue, Apr 13, 2021

Tue, Jun 8, 2021

Upcoming Public Workshops

North America / Latin America

Questions?

Contact Us for Questions on
Deep Learning Training

Read our FAQs.

Inquire about NVIDIA Deep Learning Institute services.

For technical questions, check out the NVIDIA Developer Forums.

Instructor-Led Workshop Fundamentals of Accelerated Computing with CUDA C/C++

Learning Objectives

Workshop Outline

Workshop Details

Upcoming Workshops

Tue, Apr 13, 2021

Tue, Apr 13, 2021

Tue, Jun 8, 2021

Upcoming Public Workshops

North America / Latin America

Questions?

Contact Us for Questions on Deep Learning Training

Read our FAQs.

Inquire about NVIDIA Deep Learning Institute services.

For technical questions, check out the NVIDIA Developer Forums.

Instructor-Led Workshop
Fundamentals of Accelerated Computing with CUDA C/C++

Contact Us for Questions on
Deep Learning Training