Hydra: a C++11 framework for data analysis in massively parallel platforms

TL;DR

Hydra is a C++11 framework optimized for high-performance data analysis on massively parallel platforms, leveraging modern C++ features and libraries to improve efficiency in high-energy physics computations.

Contribution

It introduces a header-only, templated C++11 framework that integrates with Thrust, OpenMP, CUDA, and TBB for efficient parallel data analysis in high-energy physics.

Findings

Demonstrates performance improvements in HEP data analysis tasks.

Provides a flexible, user-friendly interface for parallel computing.

Achieves compatibility across Linux systems with various parallel hardware.

Abstract

Hydra is a header-only, templated and C++11-compliant framework designed to perform the typical bottleneck calculations found in common HEP data analyses on massively parallel platforms. The framework is implemented on top of the C++11 Standard Library and a variadic version of the Thrust library and is designed to run on Linux systems, using OpenMP, CUDA and TBB enabled devices. This contribution summarizes the main features of Hydra. A basic description of the overall design, functionality and user interface is provided, along with some code examples and measurements of performance.