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HEP-Frame is a new C++ package designed to efficiently perform analyses of data sets from a very large number of events, like those available at the Large Hadron Collider (LHC) at CERN, Geneva. It mainly targets high performance servers and…

High Energy Physics - Experiment · Physics 2023-03-10 A. Pereira , A. Onofre , A. Proenca

Traditionally, high energy physics (HEP) experiments have relied on x86 CPUs for the majority of their significant computing needs. As the field looks ahead to the next generation of experiments such as DUNE and the High-Luminosity LHC, the…

Today's world of scientific software for High Energy Physics (HEP) is powered by x86 code, while the future will be much more reliant on accelerators like GPUs and FPGAs. The portable parallelization strategies (PPS) project of the High…

HEP data-processing software must support the disparate physics needs of many experiments. For both collider and neutrino environments, HEP experiments typically use data-processing frameworks to manage the computational complexities of…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-03-29 Christopher D. Jones , Kyle Knoepfel , Paolo Calafiura , Charles Leggett , Vakhtang Tsulaia

HEP Cluster is designed and implemented in Scientific Linux Cern 5.5 to grant High Energy Physics researchers one place where they can go to undertake a particular task or to provide a parallel processing architecture in which CPU resources…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-10-30 Vivek Chalotra , Anju Bhasin , Anik Gupta , Sanjeev Singh Sambyal

High Energy Physics (HEP) needs a huge amount of computing resources. In addition data acquisition, transfer, and analysis require a well developed infrastructure too. In order to prove new physics disciplines it is required to higher the…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-08-14 Gábor Bíró , Gergely Gábor Barnaföldi , Endre Futó

High-energy physics (HEP) experiments have developed millions of lines of code over decades that are optimized to run on traditional x86 CPU systems. However, we are seeing a rapidly increasing fraction of floating point computing power in…

High Energy Physics (HEP) experiments are making increasing use of GPUs and GPU dominated High Performance Computer facilities. Both the software and hardware of these systems are rapidly evolving, creating challenges for experiments to…

High Energy Physics - Experiment · Physics 2025-05-15 Mohammad Atif , Pengfei Ding , Ka Hei Martin Kwok , Charles Leggett

Next generation High-Energy Physics (HEP) experiments are presented with significant computational challenges, both in terms of data volume and processing power. Using compute accelerators, such as GPUs, is one of the promising ways to…

The road map to the FCC Feasibility Study Report, for submission to the next Update of the European Strategy for Particle Physics, will require detailed simulation and advanced reconstruction algorithms to explore and maximise the physics…

High Energy Physics - Experiment · Physics 2021-11-19 Gerardo Ganis , Clément Helsens , Valentin Völkl

Modern operating system kernels are written in lower-level languages such as C. Although the low-level functionalities of C are often useful within kernels, they also give rise to several classes of bugs. Kernels written in higher level…

Operating Systems · Computer Science 2016-03-18 Harshal Sheth , Aashish Welling

Research in high energy physics (HEP) requires huge amounts of computing and storage, putting strong constraints on the code speed and resource usage. To meet these requirements, a compiled high-performance language is typically used; while…

Computing plays an essential role in all aspects of high energy physics. As computational technology evolves rapidly in new directions, and data throughput and volume continue to follow a steep trend-line, it is important for the HEP…

Monte Carlo simulations play a crucial role in all stages of particle collider experiments. There has been a long-term trend in HEP of both increasing collision energies and the luminosity. As a result, the requirements for MC simulations…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-04-27 Felix Hoffmann , Udo Kebschull

The prospect of quantum computing with a potential exponential speed-up compared to classical computing identifies it as a promising method in the search for alternative future High Energy Physics (HEP) simulation approaches. HEP…

Quantum Physics · Physics 2024-04-30 Florian Rehm , Sofia Vallecorsa , Michele Grossi , Kerstin Borras , Dirk Krücker

The Large Hadron Collider (LHC) at CERN will see an upgraded hardware configuration which will bring a new era of physics data taking and related computational challenges. To this end, it is necessary to exploit the ever increasing variety…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-12-06 Monica Dessole , Jolly Chen , Axel Naumann

HepLib is a C++ Library for computations in High Energy Physics, it works on top of GiNaC, a well-established C++ library used to perform symbolic computations. HepLib combines serval well-known packages to get high efficiency, including…

High Energy Physics - Phenomenology · Physics 2021-05-19 Feng Feng , Yi-Fan Xie , Qiu-Chen Zhou , Shan-Rong Tang

Within the next decade, experimental High Energy Physics (HEP) will enter a new era of scientific discovery through a set of targeted programs recommended by the Particle Physics Project Prioritization Panel (P5), including the upcoming…

Data Analysis, Statistics and Probability · Physics 2022-03-23 S. C. Tognini , P. Canal , T. M. Evans , G. Lima , A. L. Lund , S. R. Johnson , S. Y. Jun , V. R. Pascuzzi , P. K. Romano

The Large Hadron Collider (LHC) at CERN has generated in the last decade an unprecedented volume of data for the High-Energy Physics (HEP) field. Scientific collaborations interested in analysing such data very often require computing power…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-06-03 Jacek Kuśnierz , Vincenzo Eduardo Padulano , Maciej Malawski , Kamil Burkiewicz , Enric Tejedor Saavedra , Pedro Alonso-Jordá , Michael Pitt , Valentina Avati

Particle physics has an ambitious and broad global experimental programme for the coming decades. Large investments in building new facilities are already underway or under consideration. Scaling the present processing power and data…

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