jared law cuda: super-computing made easy. jared law nvidia cuda: why cuda? what is cuda? where/how...
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Jared Law
CUDA:Super-Computing Made Easy
Jared Law
NVidia CUDA:
• Why CUDA?
• What is CUDA?
• Where/how is CUDA being used?
• What does CUDA mean to programmers?
Jared Law
NVidia CUDA: Timeline
• 1999 – First NVidia Graphics Processing Unit (GPU)
Jared Law
NVidia CUDA: Timeline
• 1999 – First NVidia Graphics Processing Unit (GPU)• 2003 –
Jared Law
NVidia CUDA: Timeline
• 1999 – First NVidia Graphics Processing Unit (GPU)• 2003 – GPGPU Computing
Jared Law
NVidia CUDA: GPGPU Programming
• Using GPUs as general parallel processors
• Languages– OpenGL– DirectX– Cg
• Programmers had to . . .– Have an intimate knowledge
of GPUs– Learn new languages– Translate input to vertex data
and shader programs
Jared Law
NVidia CUDA: Timeline
• 1999 – First NVidia Graphics Processing Unit (GPU)• 2003 – GPGPU Computing• 2006 – First CUDA-Enabled GPU (GeForce 8800)
Jared Law
NVidia CUDA: What is it?
• CUDA- Compute Unified Device Architecture- Departs from the GPGPU model
• New architecture – G80 (2006)– GT200 (2008)– Fermi (2009)
• Simplified API using C abstractions – C++– Fortran– Nexus IDE
Jared Law
NVidia CUDA: Getting Started
• CUDA-Enabled Card Required.- www.nvidia.com/object/cuda_gpus.html
• Download the “free” CUDA toolkit and driver.- http://developer.nvidia.com/cuda-downloads
• Start coding.
Jared Law
NVidia CUDA: CUDA C Example
Jared Law
NVidia CUDA: Timeline
• 1999 – First NVidia Graphics Processing Unit (GPU)• 2003 – GPGPU Computing• 2006 – First CUDA-Enabled GPU (GeForce 8800)• 2011 – CUDA is EVERYWHERE!
Jared Law
NVidia CUDA: Silver Screen
• 2009 - Avatar• 2010 - Iron Man 2, Inception, The Last Airbender, Black
Swan
Jared Law
NVidia CUDA: Consumer Software
• Video Conversion and Editing (Adobe, Cyberlink)• Operating Systems (Windows 7)• Design Tools (Agilent)• Education (MATLAB)
Plenty more at http://www.nvidia.com/object/cuda_app_tesla.html
Jared Law
NVidia CUDA: Research
• Physics Simulation
• Medical Imaging
• Life Sciences
• Computational Fluid Dynamics– www.nvidia.com/object/cuda_apps_flash_new.html#
Jared Law
NVidia CUDA: Conclusion
Visit www.nvidia.com for more information.
Any questions?
REFERENCES
Boyd, C. 2008. Data-parallel computing. ACM Queue 6, 2 (March/April), 30-39.Fatahalian, K. and Houston, M. 2008. Gpus: A closer look. ACM Queue 6, 2 (March/April), 18-28.Mark, W. 2008. Future graphics architectures. ACM Queue 6, 2 (March/April), 54-64.Nickolls, J., Buck, I., Garland, M., and Skadron, K. 2008. Scalable parallel programming. ACM Queue 6, 2
(March/April), 40-53.NVidia 2009. NVIDIA's Next Generation CUDA Compute Architecture: Fermi. NVidia.NVidia 2010. NVIDIA CUDA C Programming Guide. NVidia.Senocak, I., Thibault, J., and Caylor, M. 2009. Rapid-response urban cfd simulations using a gpu computing paradigm
on desktop supercomputers. Eighth Symposium on the Urban Environment 19.2 (January).Wilkinson, B. and Allen, M. 2005. Parallel Programming: Techniques and Applications Using Networked Workstations
and Parallel Computers, 2 ed. Pearson Prentice Hall.