HPC Practical 4 | CUDA Programming: Vector Addition & Matrix Multiplication | CUDA | Anuj Barve

Learn how to harness the power of GPU Computing by implementing CUDA C programs for Large Vector Addition and Matrix Multiplication in High Performance Computing (HPC) Practical 4.
This video is specially designed for Computer Engineering students under Savitribai Phule Pune University (SPPU) or any course covering CUDA Programming and Parallel Algorithms.

Github Repository :
https://github.com/anujbarve/youtube_video_codes

📌 In this HPC Practical 4 Tutorial, you will learn:
✅ How to perform Addition of two large vectors using CUDA
✅ How to implement Matrix Multiplication using CUDA C
✅ Understanding CUDA kernels, threads, blocks, and memory management
✅ Step-by-step code walkthroughs, Output demonstration, and Performance comparison
✅ How to setup and compile CUDA C programs with nvcc compiler

🖥️ Technologies & Tools Used:
• CUDA C / C++ Programming
• NVIDIA CUDA Toolkit
• nvcc (NVIDIA CUDA Compiler)
• Compatible NVIDIA GPU

🎓 Ideal for:
• SPPU Computer Engineering SEM 8 HPC Practicals
• High Performance Computing Assignments
• CUDA Programming Beginners
• Final Year Engineering Projects
• GPU Computing & Parallel Processing Enthusiasts

Видео HPC Practical 4 | CUDA Programming: Vector Addition & Matrix Multiplication | CUDA | Anuj Barve канала Anuj Barve