Skip to main content

Accera Compilers

Project description

Accera Compilers

Accera

Accera is a programming model, a domain-specific programming language embedded in Python (eDSL), and an optimizing cross-compiler for compute-intensive code. Accera currently supports CPU and GPU targets and focuses on optimization of nested for-loops.

Writing highly optimized compute-intensive code in a traditional programming language is a difficult and time-consuming process. It requires special engineering skills, such as fluency in Assembly language and a deep understanding of computer architecture. Manually optimizing the simplest numerical algorithms already requires a significant engineering effort. Moreover, highly optimized numerical code is prone to bugs, is often hard to read and maintain, and needs to be reimplemented every time a new target architecture is introduced. Accera aims to solve these problems.

Accera has three goals:

  • Performance: generate the fastest implementation of any compute-intensive algorithm.
  • Readability: do so without sacrificing code readability and maintainability.
  • Writability: a user-friendly programming model, designed for agility.

accera-compilers

The accera-compilers package contains pre-compiled compiler binaries used to produce optimized code using the Accera eDSL. It is not designed for standalone use, but is automatically installed when you pip install accera. You can find documentation and examples on Github.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

accera_compilers-1.2.26-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (39.6 MB view hashes)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

accera_compilers-1.2.26-cp310-cp310-macosx_11_0_x86_64.whl (42.6 MB view hashes)

Uploaded CPython 3.10 macOS 11.0+ x86-64

accera_compilers-1.2.26-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (39.6 MB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

accera_compilers-1.2.26-cp39-cp39-macosx_11_0_x86_64.whl (42.6 MB view hashes)

Uploaded CPython 3.9 macOS 11.0+ x86-64

accera_compilers-1.2.26-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (39.6 MB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

accera_compilers-1.2.26-cp38-cp38-macosx_10_15_x86_64.whl (42.6 MB view hashes)

Uploaded CPython 3.8 macOS 10.15+ x86-64

accera_compilers-1.2.26-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (39.6 MB view hashes)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

accera_compilers-1.2.26-cp37-cp37m-macosx_10_15_x86_64.whl (42.6 MB view hashes)

Uploaded CPython 3.7m macOS 10.15+ x86-64

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page