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-1.2.17-cp310-cp310-win_amd64.whl (27.8 MB view details)

Uploaded CPython 3.10 Windows x86-64

accera_compilers-1.2.17-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (39.5 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

accera_compilers-1.2.17-cp310-cp310-macosx_11_0_x86_64.whl (42.5 MB view details)

Uploaded CPython 3.10 macOS 11.0+ x86-64

accera_compilers-1.2.17-cp39-cp39-win_amd64.whl (27.8 MB view details)

Uploaded CPython 3.9 Windows x86-64

accera_compilers-1.2.17-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (39.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

accera_compilers-1.2.17-cp39-cp39-macosx_11_0_x86_64.whl (42.5 MB view details)

Uploaded CPython 3.9 macOS 11.0+ x86-64

accera_compilers-1.2.17-cp38-cp38-win_amd64.whl (27.8 MB view details)

Uploaded CPython 3.8 Windows x86-64

accera_compilers-1.2.17-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (39.5 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

accera_compilers-1.2.17-cp38-cp38-macosx_10_15_x86_64.whl (42.5 MB view details)

Uploaded CPython 3.8 macOS 10.15+ x86-64

accera_compilers-1.2.17-cp37-cp37m-win_amd64.whl (27.8 MB view details)

Uploaded CPython 3.7m Windows x86-64

accera_compilers-1.2.17-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (39.5 MB view details)

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

accera_compilers-1.2.17-cp37-cp37m-macosx_10_15_x86_64.whl (42.5 MB view details)

Uploaded CPython 3.7m macOS 10.15+ x86-64

File details

Details for the file accera_compilers-1.2.17-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for accera_compilers-1.2.17-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 5cff5619f62dfd0a664bbbf0d284bcf82dae8cd0ec68b64781266becd48e612e
MD5 0d7f2c0db8daa4da89a5717874189656
BLAKE2b-256 250a1df8d90e591fdd1fb97591ae243843b59807d4cbc9bfbae23d7c2b0fb645

See more details on using hashes here.

File details

Details for the file accera_compilers-1.2.17-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for accera_compilers-1.2.17-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e0602e6b43ec4a499dadac79a4c27dcef55383b9b1b0d5de9187405140378cf0
MD5 1c79d1ea5edadcf6df4d3f02dfa5b2f0
BLAKE2b-256 1c9e7551442ef568c2241c26eb2a9d57ea2a1676b48f6655f4fd412e3b1a35cc

See more details on using hashes here.

File details

Details for the file accera_compilers-1.2.17-cp310-cp310-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for accera_compilers-1.2.17-cp310-cp310-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 4706c9341625de390f9ba29b27062d74dcd44da6b43299467c4b865054c8ff06
MD5 a5b35633b4db4b13be5ef697364446b3
BLAKE2b-256 ca7dc16a98978ae490f9c823aa7218316bf53385f7b398b8348eb3466b3313b7

See more details on using hashes here.

File details

Details for the file accera_compilers-1.2.17-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for accera_compilers-1.2.17-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 87b996226a40bf45787febfb1f72354e4f0128dc09adcf3d79ca1be9bc4594b1
MD5 4b4235b9b6c7c6d78e27136736b75507
BLAKE2b-256 ec98e4bca4eb03f6e678984ee9a8aea2d98949f6ada96dcb8280accfe4994a29

See more details on using hashes here.

File details

Details for the file accera_compilers-1.2.17-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for accera_compilers-1.2.17-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 edd4ed6c42749a61e2c980108cf4c715c1e2235bb6f469cd0b51b3b04d00250e
MD5 2245d88ce4c4be7cb21ad0f3c2af69c5
BLAKE2b-256 9cda4b975b218ee3f3a14bcab054d339b0bcb73123ecbac1d146fed5e3e4882b

See more details on using hashes here.

File details

Details for the file accera_compilers-1.2.17-cp39-cp39-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for accera_compilers-1.2.17-cp39-cp39-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 39470309a2ca4a9aa50c2cc54ce7b2551fcc7f6f782179f469a6fdf6a82ad32c
MD5 27475d128eaaedf598dcf86adbb25f51
BLAKE2b-256 93743c21f6ec1935efcaae5bf74a7483f26310c26199391908e36b86b8dfd8c9

See more details on using hashes here.

File details

Details for the file accera_compilers-1.2.17-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for accera_compilers-1.2.17-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 60b9f5f3d506446881663ef4511b3bd182fa78bf509e0481290aaa2c0dcd69e3
MD5 4b20eabda825c04d912bb63d6a06c8e9
BLAKE2b-256 a81f316675c05935f2e3a230906afaea74059b2e587d2b4e340b37241a8bc6e8

See more details on using hashes here.

File details

Details for the file accera_compilers-1.2.17-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for accera_compilers-1.2.17-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 31ab0861889f168e28d88eb1f17a90f746e8a5931f10e6a6c1ff9f616c58b465
MD5 33c0eb413a399f677e945f865040f705
BLAKE2b-256 7ed3ed9ea4ed100b7fc73e6fccc76395a72abb7792e7ed72e58370eabf73be1a

See more details on using hashes here.

File details

Details for the file accera_compilers-1.2.17-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for accera_compilers-1.2.17-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 5b1530da2472826aeccdf1508f2960f18c13ba03f1399d88dcc92eb881bc1f68
MD5 14fe1da642bc3b8f569e612bcabae504
BLAKE2b-256 24ddc17acc1653daadd25bfeec4ae8f12b19639b1b2b1719076a8b29ab7e99e1

See more details on using hashes here.

File details

Details for the file accera_compilers-1.2.17-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for accera_compilers-1.2.17-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 9b446e5926b7bbc478b3446753fde343dfb1af9a7aa677017bd0577bdc0f6d8d
MD5 532267b3ff5ea7303e54f942bde59bc8
BLAKE2b-256 6bb33c034bbef78bff06801744bf758a6963709ad226dd5c7dea55155f7b4b3e

See more details on using hashes here.

File details

Details for the file accera_compilers-1.2.17-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for accera_compilers-1.2.17-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 89b709e069fc69c69168ee74284847fa8631c15e1a54da40fec79d0cc0ec6972
MD5 6673cb5af2c0d74c7a949615370fb341
BLAKE2b-256 8bfb1195deaaaf85767f4fdb602f44a7569f8e0d302d6f62500c53c7f09736d0

See more details on using hashes here.

File details

Details for the file accera_compilers-1.2.17-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for accera_compilers-1.2.17-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 f6686d03b0b416381eca750325423644de64829db32849a4e9fea10a3e8f45c7
MD5 49c7b228683ebe64f92fcc85a7739c72
BLAKE2b-256 ce7c136681da6ebd46f1636d9b53eb2fe023d7c989d58b044950b0098a0a9dce

See more details on using hashes here.

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