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.
Release files for accera-compilers 1.2.29
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 271.5 MB
Release files / accera_compilers-1.2.29-cp310-cp310-win_amd64.whl
| Download URL | accera_compilers-1.2.29-cp310-cp310-win_amd64.whl |
|---|---|
| Size | 28.1 MB |
| Tags | CPython 3.10 Windows x86-64 |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.11
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Release files / accera_compilers-1.2.29-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | accera_compilers-1.2.29-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 39.8 MB |
| Tags | CPython 3.10 Linux glibc 2.17+ x86-64 |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.4
|
Release files / accera_compilers-1.2.29-cp39-cp39-win_amd64.whl
| Download URL | accera_compilers-1.2.29-cp39-cp39-win_amd64.whl |
|---|---|
| Size | 28.1 MB |
| Tags | CPython 3.9 Windows x86-64 |
|
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.13
|
Release files / accera_compilers-1.2.29-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | accera_compilers-1.2.29-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 39.8 MB |
| Tags | CPython 3.9 Linux glibc 2.17+ x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.12
|
Release files / accera_compilers-1.2.29-cp38-cp38-win_amd64.whl
| Download URL | accera_compilers-1.2.29-cp38-cp38-win_amd64.whl |
|---|---|
| Size | 28.1 MB |
| Tags | CPython 3.8 Windows x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.10
|
Release files / accera_compilers-1.2.29-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | accera_compilers-1.2.29-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 39.8 MB |
| Tags | CPython 3.8 Linux glibc 2.17+ x86-64 |
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SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.13
|
Release files / accera_compilers-1.2.29-cp37-cp37m-win_amd64.whl
| Download URL | accera_compilers-1.2.29-cp37-cp37m-win_amd64.whl |
|---|---|
| Size | 28.1 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Windows x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.7.9
|
Release files / accera_compilers-1.2.29-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | accera_compilers-1.2.29-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 39.8 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-64 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.7.13
|
