GPGPU Programming

Course Info

• Department: Mathematics and Computer Science, University of Calabria (Italy)
• Degree: Master Degree in Computer Science and Artificial Intelligence
• Curriculum: Data Science
• Lecturer: Donato D'Ambrosio

Course Material

• David B. Kirk, Wen-mei W. Hwu, Programming Massively Parallel Processors: A Hands-on Approach (Third Edition). Morgan Kaufmann, 2017

• CUDA Toolkit Documentation
• Grid-Stride Loops
• CUDA Unified Memory
• CUDA GPU Compute Capability
• Matching CUDA Architectures and Gencodes
• Query Device Properties and Handle Errors in CUDA
• CUDA Occupancy Calculator
• Unified L1/Texture Cache in Maxwell GPUs (see Section 1.4.2.1)
• Constant Memory (see Section 9.2.6)
• How to Implement Performance Metrics in CUDA C/C++
• Difference between dram_read_transactions and gld_transactions in CUDA profiler

• Archlinux
• Slurm quick start guide
• A Quick and Easy Guide to tmux
• gpumembench

Slides

• Slides can be found in the Files section of the Lecture channel of the GPGPU Programming cours on Microsoft Teams
• You can join the GPGPU Programming team by using the following code: 3d98qzr