Accera GPU Support

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Maintainers

kernhanda masonremy microsoft onglisa

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Project description

Accera GPU

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-gpu

The accera-gpu package contains add-ons for GPU support. You can find documentation and examples on Github.

Project details

These details have been verified by PyPI

Maintainers

kernhanda masonremy microsoft onglisa

These details have not been verified by PyPI

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Release history Release notifications | RSS feed

This version

1.2.29

Apr 18, 2023

1.2.28

Apr 4, 2023

1.2.27

Mar 27, 2023

1.2.26

Mar 24, 2023

1.2.25

Mar 16, 2023

1.2.24

Mar 10, 2023

1.2.23

Mar 2, 2023

1.2.22

Feb 24, 2023

1.2.21

Feb 20, 2023

1.2.20

Feb 9, 2023

1.2.19

Feb 3, 2023

1.2.18

Jan 26, 2023

1.2.17

Jan 18, 2023

1.2.16

Jan 16, 2023

1.2.15

Jan 12, 2023

1.2.14

Dec 15, 2022

1.2.13

Dec 14, 2022

1.2.12

Nov 21, 2022

1.2.11

Oct 18, 2022

1.2.10

Sep 29, 2022

1.2.9

Sep 17, 2022

1.2.8

Aug 10, 2022

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accera_gpu-1.2.29-cp310-cp310-win_amd64.whl (7.3 MB view hashes)

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