Two Days Workshop on “Fundamentals of Accelerated Computing with CUDA C/C++”

PHCET > IT Seminars & Workshops > Two Days Workshop on “Fundamentals of Accelerated Computing with CUDA C/C++”

Theme

The NVIDIA Deep Learning Institute (DLI) and Pillai HOC College of Engineering and Technology, Rasayani, has organized Two days Workshop on “Fundamentals of Accelerated Computing with CUDA C/C++”. Workshop is organized by Department of Information Technology; this is scheduled on 16th and 17th April 2021 exclusively for verifiable academic students, staff, and researchers.

In this Workshop 51 participants registered and actively participated for the course.
14 participants successfully completed and received certificate from NVIDIA as they have cleared final test of Fundamentals of Accelerated Computing with CUDA C/C++ by NVIDIA(DLI). This workshop conducted online with google meet mode.

This Workshop is practical oriented beneficial to UG and PG students. To recognize their subject matter competency and support professional career growth.

The objective of this workshop is to learn fundamental tools and techniques for accelerating C/C++ applications to run on massively parallel GPUs with CUDA®.

The workshop also looks at optimize memory migration between the CPU and GPU accelerator, and implement the workflow.

The course further examines the actions and processes that can be used to Accelerate Applications with CUDA C/C++

NVIDIA DLI offers hands-on training for developers, data scientists, and researchers looking to solve challenging problems with deep learning and accelerated computing.

About This Workshop:

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.