<TODO>

July 25th - July 26th 2015.

DAY 1 (July 25th, 2015)

• GPGPUs and GPU computing
• GPU computing APIs
• GPU hardware architecture
• The accelerator programming model
• CUDA C
• The NVCC compiler
• Threading model
• GPU-specific memory types
• Compute capabilities
• GPU computing demos
• The CUDA SDK
• Hands-on: Implemeting “Hello World!” using CUDA

DAY 2 (July 26th, 2015)

• Hands-on: Vector addition using CUDA
• Using NSIGHT for CUDA debugging and profiling
• Hands-on: 1D convolution (naive implementation)
• Hands-on: 1D convolution (optimized implementation)
• Discussing the performance difference between the 2 1D convolution implementations
• Conclusions

• basic to intermediate C / C++ programming knowledge
• basic knowledge of parallel programming concepts (threads, barriers etc.)
• basic notions of a computing system's architecture (CPU, RAM, GPU etc.)

This workshop is addressed to people who are curious to learn how a modern GPU can be programmed to run numerically-intensive non-graphical applications. Knowledge of a typical computing system's architecture is necessary to better understand how the GPU fits in as a high-performance computing accelerator. C / C ++ programming knowledge and parallel programming concepts will be needed during the hands-on sessions.

Please fill in the following form in order to register: Registration form. Enrollment will be based on a first-come, first-serve principle.

Andrei Trandafir

E-mail: andrei.tra@gmail.com