scikit-cuda

scikit-cuda provides Python interfaces to many of the functions in the CUDA device/runtime, CUBLAS, CUFFT, and CUSOLVER libraries distributed as part of NVIDIA’s CUDA Programming Toolkit, as well as interfaces to select functions in the CULA Dense Toolkit. Both low-level wrapper functions similar to their C counterparts and high-level functions comparable to those in NumPy and Scipy are provided.

Python wrappers for cuDNN by Hannes Bretschneider are available here.

Contents

• Installation
  • Quick Installation
  • Obtaining the Latest Software
  • Installation Dependencies
  • Platform Support
  • Building and Installation
  • Running the Unit Tests
  • Getting Started
• Reference
  • Library Wrapper Routines
  • High-Level Routines
  • Other Routines
• Authors & Acknowledgments
• License
• Change Log
  • Release 0.5.3 (Under Development)
  • Release 0.5.2 (November 6, 2018)
  • Release 0.5.1 - (October 30, 2015)
  • Release 0.5.0 - (July 14, 2015)
  • Release 0.042 - (March 10, 2013)
  • Release 0.041 - (May 22, 2011)
  • Release 0.04 - (May 11, 2011)
  • Release 0.03 - (November 22, 2010)
  • Release 0.02 - (September 21, 2010)
  • Release 0.01 - (September 17, 2010)

Index

• Index