Skip to main content

Breadcrumb

  1. ACCESS Home
  2. Support
  3. Knowledge Base
  4. Knowledge Base Resources

Knowledge Base Resources

These resources are contributed by researchers, facilitators, engineers, and HPC admins. Please upvote resources you find useful!
Add a Resource

Filters

Topics

  • Show all (4)
  • (-) optimization (1)
  • (-) vectorization (1)
  • parallelization (1)
  • performance-tuning (1)

Topics

  • Show all (4)
  • (-) optimization (1)
  • (-) vectorization (1)
  • parallelization (1)
  • performance-tuning (1)

If you'd like to use more filters, please login to view them all.

Numba: Compiler for Python
0
  • Numba Compiler
Numba is a Python compiler designed for accelerating numerical and array operations, enabling users to enhance their application's performance by writing high-performance functions in Python itself. It utilizes LLVM to transform pure Python code into optimized machine code, achieving speeds comparable to languages like C, C++, and Fortran. Noteworthy features include dynamic code generation during import or runtime, support for both CPU and GPU hardware, and seamless integration with the Python scientific software ecosystem, particularly Numpy.
vectorizationoptimizationperformance-tuningparallelization
0 Likes

Login to like
Type
documentation
Level
Intermediate, Advanced