Course Description

Welcome to "Introduction to Parallel Programming with CUDA," a course offered by Johns Hopkins University. This course is designed to provide students with a comprehensive understanding of parallel programming using CUDA, a popular parallel computing platform developed by NVIDIA. In today's world, where data is growing exponentially and traditional computing methods are becoming inadequate, parallel programming has become a crucial skill for any software developer. This course will equip you with the necessary knowledge and skills to harness the power of parallel programming and accelerate your applications. Through a combination of lectures, hands-on exercises, and assignments, you will learn the fundamentals of parallel programming with CUDA. This includes understanding the basic concepts of parallel computing, such as threads, blocks, and grids, and how to use them to write efficient parallel code. You will also learn how to optimize your code for performance and use advanced features of CUDA, such as shared memory and warp-level primitives. In addition to learning the technical aspects of parallel programming, this course will also cover real-world applications of CUDA