https://github.com/zhujun98/foamalgo

Algorithms for blazingly fast data analysis at scientific user facilities
https://github.com/zhujun98/foamalgo

Last synced: 4 months ago
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Algorithms for blazingly fast data analysis at scientific user facilities

• Host: GitHub
• URL: https://github.com/zhujun98/foamalgo
• Owner: zhujun98
• License: gpl-3.0
• Created: 2020-08-17T12:49:35.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2023-04-28T07:04:54.000Z (almost 2 years ago)
• Last Synced: 2024-08-02T05:12:08.355Z (7 months ago)
• Language: C++
• Homepage:
• Size: 389 KB
• Stars: 7
• Watchers: 2
• Forks: 0
• Open Issues: 6
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-blazingly-fast - foamalgo - Algorithms for blazingly fast data analysis in accelerator and photon science (C++)

README

        
foamalgo

========

[![Lates Release](https://img.shields.io/github/v/release/zhujun98/foamalgo)](https://github.com/zhujun98/foamalgo/releases)

[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)

[![Build Status](https://dev.azure.com/zhujun981661/zhujun981661/_apis/build/status/zhujun98.foamalgo?branchName=master)](https://dev.azure.com/zhujun981661/zhujun981661/_build/latest?definitionId=2&branchName=master)

[![Documentation](https://img.shields.io/readthedocs/foamalgo)](https://foamalgo.readthedocs.io/en/latest/)

![Language](https://img.shields.io/badge/language-c++-red)

![Language](https://img.shields.io/badge/language-python-blue)

## Introduction

`foamalgo` is a head-only C++20 library with Python binding `pyfoamalgo`, 

which is meant to be used in numerical analysis in photon science and 

accelerator physics. It leverages SIMD and multi-threaded parallelism

to increase algorithm performance by up to 2 orders of magnitude compared to 

the implementations in other libraries like [numpy](https://numpy.org/).

`foamalgo` has been developed based on the algorithm package in [EXtra-foam](https://github.com/European-XFEL/EXtra-foam),

which is the framework for real-time (online) data analysis and visualization 

of big data from various large detectors at European XFEL and has stood 

the test of 24/7 operations. By separating the algorithm code in a 

stand-alone library, it facilitates the maintanance of the large code base

and benefits the offline analysis as well.

Relevant articles, presentations and papers:

- [Data Analysis Approaches at EuXFEL](https://indico.cern.ch/event/881752/)  by *P. Schmidt*

## Installation

Install the Python package

```sh

conda install -c conda-forge pyfoamalgo

```

Install the head-only C++ library

```sh

conda install -c conda-forge foamalgo

```

## Documentation

For more information on `foamalgo` and `pyfoamalgo`, please checkout the documentation

https://foamalgo.readthedocs.io/en/latest/index.html