CUDA LLVM Compiler
NVIDIA's CUDA Compiler (NVCC) is based on the widely used LLVM open source compiler infrastructure. Developers can create or extend programming languages with support for GPU acceleration using the NVIDIA Compiler SDK. Add GPU Acceleration To Your Language You can add support for GPU acceleration to a new or existing language by creating a language-specific frontend that compiles your language to
Tutorial - pycuda 2024.1 documentation
Tutorial¶ Getting started¶ Before you can use PyCuda, you have to import and initialize it: import pycuda.driver as cuda import pycuda.autoinit from pycuda.compiler import SourceModule Note that you do not have to use pycuda.autoinit– initialization, context creation, and cleanup can also be performed manually, if desired. Transferring Data¶ The next step in most programs is to transfer data onto
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http://www.culatools.com/dense/performance/
Google Code Archive - Long-term storage for Google Code Project Hosting.
https://docs.google.com/viewer?url=http://www.sgi.com/global/fr/synergie/episodeXII/pdf/04_Accelerators_NVIDIA_29Mai_2008.pdf
https://docs.google.com/viewer?url=http://gpgpu.org/wp/wp-content/uploads/2009/06/03-Toolkit.pdf
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