A Generic Data Acquisition Framework For High Performance 2D X-RAY Detectors

TL;DR

This paper introduces RASHPA, a flexible, high-performance data acquisition framework for 2D X-ray detectors, optimized for high throughput and adaptable to various detector types in advanced scientific applications.

Contribution

It presents a novel, generic framework utilizing RDMA for efficient data transfer, supporting multiple destinations and parallel links, tailored for high-performance 2D X-ray detectors.

Findings

Supports high data throughput in modular detectors

Optimized for synchrotron and free-electron laser applications

Flexible and agnostic to detector types

Abstract

This paper presents the design criteria and the current implementation of a generic and functionally rich data acquisition framework for high performance detectors called RASHPA. The framework is based on the use of RDMA mechanisms for optimized data transfer and supports multiple destinations and simultaneous transfer operations through multiple parallel data links. Although RASHPA is somehow agnostic in what respects to the type of detector and can deal with different types of data and metadata, it implements selection and dispatching rules that are optimized for the efficient manipulation and distribution of images. For all the previous reasons, the full potential of RASHPA comes up when implemented in very high data throughput modular 2D detectors as most of the advanced new area detectors that are in development for synchrotron and free-electron laser applications.