CMDA3634_CUDA_2017_FALL_VT

CMDA3634_CUDA_2017_FALL_VT, information associated with a presentation on CUDA Programming for the Virginia Tech HokieSpeed cluster, given to the class CMDA3634: Computer Science Foundations for Computational Modeling and Data Analytics, 01 November 2017.

Documents:

• handout_cuda.pdf, the handout.
• handout_cuda.tex, the TeX version of the handout.

Some illustations for the documents:

• collatz_sequence_27.png, a plot of an example Collatz sequence.
• julia.png, an illustration of a Julia set.
• numbering.png, an illustration of the thread numbering scheme in the GPU.

Examples:

• collatz.cu, a CUDA program for computing Collatz sequences.
• collatz_gpu.sh, a PBS script to run the Collatz example.
• cuda_tasks.c, C version of the cuda_tasks program.
• cuda_tasks_cpu.sh, a PBS script to run cuda_tasks.
• hello.cu, a CUDA/C version of the "Hello, world!" program.
• hello_gpu.sh, a PBS script to run hello_gpu on the GPU.
• julia_cpu.c, a C version of the julia program.
• julia_cpu.sh, a PBS script to run julia_cpu on the GPU.
• julia_cpu.tga, the TARGA graphics file created by julia_cpu.
• julia_gpu.cu, a CUDA/C version of the julia program.
• julia_gpu.sh, a PBS script to run julia_gpu on the GPU.
• julia_gpu.tga, the TARGA graphics file created by julia_gpu.
• properties.cu, a CUDA/C version of the properties program.
• properties_gpu.sh, a PBS script to run properties on the GPU.
• vecadd.cu, a CUDA/C version of the vector addition program.
• vecadd_gpu.sh, a PBS script to run vecadd on the GPU.

You can go up one level to the WORKSHOPS page.