English
Related papers

Related papers: CompHEP 4.5 Status Report

200 papers

In high-energy physics, Monte Carlo event generators (MCEGs) are used to simulate the interactions of high energy particles. MCEG event records store the information on the simulated particles and their relationships, and thus reflects the…

High Energy Physics - Phenomenology · Physics 2021-01-07 Andy Buckley , Philip Ilten , Dmitri Konstantinov , Leif Lönnblad , James Monk , Witold Pokorski , Tomasz Przedzinski , Andrii Verbytskyi

In the steady-state contingency analysis, the traditional Newton-Raphson method suffers from non-convergence issues when solving post-outage power flow problems, which hinders the integrity and accuracy of security assessment. In this…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-04-08 Rui Yao , Feng Qiu , Kai Sun

In this paper, we propose TAPA, an end-to-end framework that compiles a C++ task-parallel dataflow program into a high-frequency FPGA accelerator. Compared to existing solutions, TAPA has two major advantages. First, TAPA provides a set of…

Hardware Architecture · Computer Science 2024-10-18 Licheng Guo , Yuze Chi , Jason Lau , Linghao Song , Xingyu Tian , Moazin Khatti , Weikang Qiao , Jie Wang , Ecenur Ustun , Zhenman Fang , Zhiru Zhang , Jason Cong

We address the stochastic transmission expansion planning (STEP) problem under uncertainty in renewable generation capacity and demand. STEP's objective is to minimize total transmission investment and generation costs. To tackle the…

Optimization and Control · Mathematics 2026-05-12 Yure Rocha , Teobaldo Bulhões , Anand Subramanian , Joaquim Dias Garcia

In High Energy Physics (HEP), experimentalists generate large volumes of data that, when analyzed, helps us better understand the fundamental particles and their interactions. This data is often captured in many files of small size,…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-05-04 Sunwoo Lee , Kai-yuan Hou , Kewei Wang , Saba Sehrish , Marc Paterno , James Kowalkowski , Quincey Koziol , Robert Ross , Ankit Agrawal , Alok Choudhary , Wei-keng Liao

Apache Hive is an open-source relational database system for analytic big-data workloads. In this paper we describe the key innovations on the journey from batch tool to fully fledged enterprise data warehousing system. We present a hybrid…

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…

Mathematical Software · Computer Science 2017-11-17 A. A. Alves , M. D. Sokoloff

Parallel programming remains one of the most challenging aspects of High-Performance Computing (HPC), requiring deep knowledge of synchronization, communication, and memory models. While modern C++ standards and frameworks like OpenMP and…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-03-16 Patrick Diehl , Noujoud Nader , Deepti Gupta

We present additions and improvements in Version 7.5 of FormCalc, most notably OPP methods, Output in C, MSSM initialization via FeynHiggs, and Analytic tensor reduction, as well as a parallelized Cuba library for numerical integration.

High Energy Physics - Phenomenology · Physics 2012-10-10 S. Agrawal , T. Hahn , E. Mirabella

For clinical data integration and healthcare services, the HL7 FHIR standard has established itself as a desirable format for interoperability between complex health data. Previous attempts at automating the translation from free-form…

Computation and Language · Computer Science 2026-04-21 Johann Frei , Nils Feldhus , Lisa Raithel , Roland Roller , Alexander Meyer , Frank Kramer

With the rapid evolution of GPU architectures, the heterogeneity of model training infrastructures is steadily increasing. In such environments, effectively utilizing all available heterogeneous accelerators becomes critical for distributed…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-05 Antian Liang , Zhigang Zhao , Kai Zhang , Xuri Shi , Chuantao Li , Chunxiao Wang , Zhenying He , Yinan Jing , X. Sean Wang

Privacy-preserving machine learning (PPML) is an emerging topic to handle secure machine learning inference over sensitive data in untrusted environments. Fully homomorphic encryption (FHE) enables computation directly on encrypted data on…

Cryptography and Security · Computer Science 2025-10-24 Yu Hin Chan , Hao Yang , Shiyu Shen , Xingyu Fan , Shengzhe Lyu , Patrick S. Y. Hung , Ray C. C. Cheung

Although benefits from caching in US HEP are well-known, current caching strategies are not adaptive i.e they do not adapt to changing cache access patterns. Newer developments such as the High-Luminosity - Large Hadron Collider (HL-LHC),…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-04-24 Venkat Sai Suman Lamba Karanam , Sarat Sasank Barla , Byrav Ramamurthy , Derek Weitzel

After an introduction to event generators we give an overview of developments in the field of joining matrix elements with parton showers. Starting with matrix element corrections, we also discuss implementations that match LO and NLO…

High Energy Physics - Phenomenology · Physics 2007-05-23 Stefan Gieseke

The Rivet toolkit is the primary mechanism for phenomenological preservation of collider-physics measurements, containing both a computational core and API for analysis implementation, and a large collection of more than a thousand…

High Energy Physics - Phenomenology · Physics 2024-08-14 Christian Bierlich , Andy Buckley , Jonathan Butterworth , Christian Gutschow , Leif Lonnblad , Tomasz Procter , Peter Richardson , Yoran Yeh

In this paper, we present the new FPGA EMUlation (FEMU), an open-source and configurable emulation framework for prototyping and evaluating TinyAI heterogeneous systems (HS). FEMU leverages the capability of system-on-chip (SoC)-based FPGAs…

We present the latest developments of the MadGraph/MadEvent Monte Carlo event generator and several applications to hadron collider physics. In the current version events at the parton, hadron and detector level can be generated directly…

High Energy Physics - Phenomenology · Physics 2014-11-18 Johan Alwall , Pavel Demin , Simon de Visscher , Rikkert Frederix , Michel Herquet , Fabio Maltoni , Tilman Plehn , David L. Rainwater , Tim Stelzer

We present libsharp, a code library for spherical harmonic transforms (SHTs), which evolved from the libpsht library, addressing several of its shortcomings, such as adding MPI support for distributed memory systems and SHTs of fields with…

Computational Physics · Physics 2015-06-15 Martin Reinecke , Dag Sverre Seljebotn

Current inference systems for Mixture-of-Experts (MoE) models primarily employ static parallelization strategies. However, these static approaches cannot consistently achieve optimal performance across different inference scenarios, as they…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-08-28 Haoran Lin , Xianzhi Yu , Kang Zhao , Han Bao , Zongyuan Zhan , Ting Hu , Wulong Liu , Zekun Yin , Xin Li , Weiguo Liu
‹ Prev 1 3 4 5 6 7 10 Next ›