CUDA Parallel Programming on NVIDIA GPUs (HW and SW)
Performance Optimization and Analysis for High-Performance Computing
4.56 (112 reviews)
1 330
students
23 hours
content
Apr 2025
last update
$84.99
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What you will learn
Comprehensive Understanding of GPU vs CPU Architecture
learn the history of graphical processing unit (GPU) until the most recent products
Understand the internal structure of GPU
Understand the different types of memories and how they affect the performance
Understand the most recent technologies in the GPU internal components
Understand the basics of the CUDA programming on GPU
Start programming GPU using both CUDA on Both windows and linux
understand the most efficient ways for parallelization
Profiling and Performance Tuning
Leveraging Shared Memory
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4267614
udemy ID
28/08/2021
course created date
19/12/2024
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