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Jacket is a run-time platform to execute your code faster on GPUs. It includes:

  • Automatic detection of memory transfers
  • Optimized kernel launch configurations
  • Just-in-time (JIT) compilation allowing code to efficiently run on the GPU
  • Simultaneous access to multiple GPUs
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Getting Started

Licensing

Base Libraries

Premium Libraries

  • DLA: Dense linear algebra library
  • SLA: Sparse linear algebra library

Premium Features

  • MGL: 2 to 8 GPUs in a single computer
  • HPC: 8+ GPUs in multiple computers
  • SDK: Integrate custom CUDA code
  • JMC: Deploy with MATLAB CompilerTM

Extra Resources


If you are interested in contributing to this wiki documentation, you may request access by sending an email to support@accelereyes.com. Also, we invite you to share your feedback, questions, and experiences on the Jacket Forums.

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