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The Deep Underground Neutrino Experiment (DUNE) is a next-generation neutrino experiment that will probe the properties of these elusive particles with unparalleled precision. It will also act as an observatory for neutrino bursts caused by…

Instrumentation and Detectors · Physics 2024-05-30 Eric L. Flumerfelt

On the path to exascale the landscape of computer device architectures and corresponding programming models has become much more diverse. While various low-level performance portable programming models are available, support at the…

The integrated low-level trigger and data acquisition (TDAQ) system of the NA62 experiment at CERN is described. The requirements of a large and fast data reduction in a high-rate environment for a medium-scale, distributed ensemble of many…

The upcoming PandaX-xT experiment will deploy over 3,000 readout channels operating at a 500 MSa/s sampling rate, generating a sustained data bandwidth up to 1.6 GB/s. To meet this demanding requirement, we present AURORA, a…

Instrumentation and Detectors · Physics 2026-04-21 Yihan Guo , Xiaofeng Shang , Chang Cai , Weihao Wu , Xun Chen

Based on the Arduino development platform, Plasduino is an open-source data acquisition framework specifically designed for educational physics experiments. The source code, schematics and documentation are in the public domain under a GPL…

Meta-software for data acquisition (DAQ) is a new approach to design the DAQ systems for experimental setups in experiments in high energy physics (HEP). It abstracts from experiment-specific data processing logic, but reflects it through…

High Energy Physics - Experiment · Physics 2020-05-15 S. Ryzhikov

Caribou is a versatile data acquisition (DAQ) system developed within several collaborative frameworks (CERN EP R&D, DRD3, AIDAinnova, and Tangerine) to support laboratory and test-beam characterization of novel silicon pixel detectors. It…

A heterogeneous cluster architecture is complex. It contains hundreds, or thousands of devices connected by a tiered communication system in order to solve a problem. As a heterogeneous system, these devices will have varying performance…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-09-16 Gary Lawson , Vaibhav Sundriyal , Masha Sosonkina , Yuzhong Shen

In the framework of the ESPRIT project 28620 "TIRAN" (tailorable fault tolerance frameworks for embedded applications), a toolset of error detection, isolation, and recovery components is being designed to serve as a basic means for…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-01-19 Vincenzo De Florio , Geert Deconinck , Rudy Lauwereins

This paper discusses the latest generation of the MONARC (MOdels of Networked Analysis at Regional Centers) simulation framework, as a design and modelling tool for large scale distributed systems applied to HEP experiments. A…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-06-28 Ciprian Dobre , Corina Stratan

Electronic-photonic integrated circuits (EPICs) offer transformative potential for next-generation high-performance AI but require interdisciplinary advances across devices, circuits, architecture, and design automation. The complexity of…

Optics · Physics 2024-11-22 Ziang Yin , Meng Zhang , Amir Begovic , Rena Huang , Jeff Zhang , Jiaqi Gu

The paper is concerned with the issue of how software systems actually use Heterogeneous Parallel Architectures (HPAs), with the goal of optimizing power consumption on these resources. It argues the need for novel methods and tools to…

Designing low-latency cloud-based applications that are adaptable to unpredictable workloads and efficiently utilize modern cloud computing platforms is hard. The actor model is a popular paradigm that can be used to develop distributed…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-12-10 Bo Sang , Gustavo Petri , Masoud Saeida Ardekani , Srivatsan Ravi , Patrick Eugster

Aurora is Argonne National Laboratory's pioneering Exascale supercomputer, designed to accelerate scientific discovery with cutting-edge architectural innovations. Key new technologies include the Intel(TM) Xeon(TM) Data Center GPU Max…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-12-09 William E. Allcock , Benjamin S. Allen , James Anchell , Victor Anisimov , Thomas Applencourt , Abhishek Bagusetty , Ramesh Balakrishnan , Riccardo Balin , Solomon Bekele , Colleen Bertoni , Cyrus Blackworth , Renzo Bustamante , Kevin Canada , John Carrier , Christopher Chan-nui , Lance C. Cheney , Taylor Childers , Paul Coffman , Susan Coghlan , Tanima Dey , Michael D'Mello , Ashok Emani , Murali Emani , Kyle G. Felker , Sam Foreman , Olivier Franza , Longfei Gao , Marta García , María Garzarán , Balazs Gerofi , Yasaman Ghadar , Subrata Goswami , Neha Gupta , Kevin Harms , Väinö Hatanpää , Brian Holland , Carissa Holohan , Brian Homerding , Khalid Hossain , Xue Hu , Louise Huot , Huda Ibeid , Joseph A. Insley , Sai Jayanthi , Hong Jiang , Wei Jiang , Xiao-Yong Jin , Jeongnim Kim , Christopher Knight , Panagiotis Kourdis , Kalyan Kumaran , JaeHyuk Kwack , Janghaeng Lee , Ti Leggett , Ben Lenard , Chris Lewis , Nevin Liber , Johann Lombardi , Raymond M. Loy , Ye Luo , Bethany Lusch , Nilakantan Mahadevan , Beth Markey , Victor A. Mateevitsi , Gordon McPheeters , Ryan Milner , Jerome Mitchell , Vitali A. Morozov , Servesh Muralidharan , Tom Musta , Mrigendra Nagar , Vikram Narayana , Marieme Ngom , Anthony-Trung Nguyen , Nathan Nichols , Aditya Nishtala , James C. Osborn , Michael E. Papka , Scott Parker , Saumil S. Patel , Julia Piotrowska , Adrian C. Pope , Sucheta Raghunanda , Esteban Rangel , Paul M. Rich , Katherine M. Riley , Silvio Rizzi , Kris Rowe , Varuni Sastry , Adam Scovel , Filippo Simini , Haritha Siddabathuni Som , Patrick Steinbrecher , Rick Stevens , Xinmin Tian , Peter Upton , Thomas Uram , Archit K. Vasan , Álvaro Vázquez-Mayagoitia , Kaushik Velusamy , Brice Videau , Venkatram Vishwanath , Brian Whitney , Timothy J. Williams , Michael Woodacre , Sam Zeltner , Chuanjun Zhang , Gengbin Zheng , Huihuo Zheng

We describe the architecture and functionalities of a C++ software framework, coined PARTONS, dedicated to the phenomenology of Generalized Parton Distributions. These distributions describe the three-dimensional structure of hadrons in…

High Energy Physics - Phenomenology · Physics 2018-04-04 B. Berthou , D. Binosi , N. Chouika , L. Colaneri , M. Guidal , C. Mezrag , H. Moutarde , J. Rodríguez-Quintero , F. Sabatié , P. Sznajder , J. Wagner

This paper presents the rAIson platform, a high-level technological environment for the development of automated, reliable and explainable decision-making agents. The research underlying the platform and its technological progress has now…

Multiagent Systems · Computer Science 2026-05-05 Pavlos Moraitis , Nikolaos Spanoudakis , Antonis Kakas

Trigger and data acquisition (TDAQ) systems for modern HEP experiments are composed of thousands of hardware and software components depending on each other in a very complex manner. Typically, such systems are operated by non-expert shift…

EUDAQ is a generic data acquisition software developed for use in conjunction with common beam telescopes at charged particle beam lines. Providing high-precision reference tracks for performance studies of new sensors, beam telescopes are…

The new Data Acquisition system for the gravitational wave detector AURIGA has been designed from the ground up in order to take advantage of hardware and software platforms that became available in recent years; namely, i386 computers…

Instrumentation and Detectors · Physics 2007-05-23 A. Ceseracciu , G. Vedovato , A. Ortolan

Galvatron is a distributed system for efficiently training large-scale Foundation Models. It overcomes the complexities of selecting optimal parallelism strategies by automatically identifying the most efficient hybrid strategy,…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-05-01 Xinyi Liu , Yujie Wang , Shenhan Zhu , Fangcheng Fu , Qingshuo Liu , Guangming Lin , Bin Cui
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