Introduction to Parallel Programming with CUDA
About this Course
This course will help prepare students for developing code that can process large amounts of data in parallel on Graphics Processing Units (GPUs). It will learn on how to implement software that can solve complex problems with the leading consumer to enterprise-grade GPUs available using Nvidia CUDA. They will focus on the hardware and software capabilities, including the use of 100s to 1000s of threads and various forms of memory.Created by: Johns Hopkins University
Related Online Courses
Welcome to Claude AI! In this course, you will get to know Claude, Anthropic\'s powerful large language model. Through a series of fun coding challenges, you\'ll build practical skills and learn... more
In this course, you will learn to think like a data scientist and ask questions of your data. You will use interactive features in MATLAB to extract subsets of data and to compute statistics on... more
This guided project \"Material Design 3 for Beginners : Customizing Components\" is for UX/UI designers looking to enhance their skills in modern design principles. In this 1-hour long... more
This 90-minute guided-project, \"Pyspark for Data Science: Customer Churn Prediction,\" is a comprehensive guided-project that teaches you how to use PySpark to build a machine learning model for... more
This specialization is designed to be an introduction to additive manufacturing (AM) with exposure to six different AM processes. The field of AM can be broadly divided into three elements:... more
Powered by
