Mr. Vasily Volkov ( Department of Computer Science, University of California, Berkeley)

1. Understanding performance bottlenecks in numerical kernels on GPU

2. Programming inverse memory hierarchy: case of stencils on GPU

Slides: [01_pdf] [02_pdf]

Mr. Yu-kai Hung ( Department of Mathematics, National Taiwan University)

洪郁凱先生（台灣大學數學系）

1. Parallel concept and hardware architectures

2. CUDA programming model Overview

• Slides: [01_pdf] [01_pptx]
• Audio: [01a_aac] [01b_aac] [01c_aac]
• Video: [01a_wmv] [01b_wmv] [01c_wmv]
• Code Examples: [ce_vec_addition.cu]

3. Hardware Hierarchy and Optimization

• Slides: [02_pdf] [02_pptx]
• Slides with Audio: [02a_mov] [02b_mov] [02c_mov] [02d_mov]

4. Memory Hierarchy and Optimization

• Slides: [03_pdf] [03_pptx]
• Slides with Audio: [03a_mov] [03b_mov] [03c_mov]

5. CUDA Advanced Memory Usage and Optimization

• Slides: [04_pdf] [04_pptx]
• Slides with Audio: [04a_wmv] [04b_mov] [04c_mov]
• Code Example: [ce_04.tar]

6. CUDA Asynchronous Memory Usage and Execution

• Slides: [05_pdf] [05_pptx]
• Slides with Audio: [05a_mov] [05b_mov]
• Code Example: [ce_05.tar]
• Reference: [intel_write_combining_memory.pdf]

7. CUDA Linear Algebra Library and Next Generation Architecture

• Slides: [06_pdf] [06_pptx]
• Slides with Audio: [06a_mov] [06b_mov]
• Reference: [CUDPP] [CULA] [MAGMA] [THRUST] [CUSP] [OpenNL] [GATLAS] [Efficient Sparse Matrix-Vector, Multiplication on CUDA 2008] [Imple. Sparse Mtx-Vec Mult on Throughput-Oriented Processors] [Sparse Matrix-Vector Multiplication Toolkit for GPUs]

8. Portable Operating System Interface Thread

• Slides: [07_pdf] [07_pptx]
• Video: [07a_wmv] [07b_wmv] [07c_wmv]
• Code Example: [ce_07.tar]

• CIS 665: GPU Programming and Architecture, UPenn
• GPU Programming (Wei-Chao Chen), NTU
• CUDA Programming Course (Chen-Mou Cheng), NCHC
• CUDA Programming and Optimization (Mark Harris), NCHC