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A new scheme of proton acceleration from a laser-driven near-critical-density plasma is proposed. Plasma with a tailored density profile allows a two-stage acceleration of protons. The protons are pre-accelerated in the laser-driven…

Plasma Physics · Physics 2019-02-13 Y. Wan , I. A. Andriyash , J. F. Hua , C. -H. Pai , W. Lu , W. B. Mori , C. Joshi , V. Malka

Diffusion models achieve remarkable generative quality, but computational overhead scales with step count, model depth, and sequence length. Feature caching is effective since adjacent timesteps yield highly similar features. However, an…

Computer Vision and Pattern Recognition · Computer Science 2025-12-16 Tingyan Wen , Haoyu Li , Yihuang Chen , Xing Zhou , Lifei Zhu , Xueqian Wang

Plasma wakefield acceleration (PWFA) holds much promise for advancing the energy frontier because it can potentially provide a 1000-fold or more increase in acceleration gradient with excellent power efficiency in respect with standard…

The objective of our research is to demonstrate the practical usage and orders of magnitude speedup of real-world applications by using alternative technologies to support high performance computing. Currently, the main barrier to the…

Astrophysics · Physics 2007-11-22 Robert J. Brunner , Volodymyr V. Kindratenko , Adam D. Myers

The applications being developed within the U.S. Exascale Computing Project (ECP) to run on imminent Exascale computers will generate scientific results with unprecedented fidelity and record turn-around time. Many of these codes are based…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-08-04 Lipeng Wan , Axel Huebl , Junmin Gu , Franz Poeschel , Ana Gainaru , Ruonan Wang , Jieyang Chen , Xin Liang , Dmitry Ganyushin , Todd Munson , Ian Foster , Jean-Luc Vay , Norbert Podhorszki , Kesheng Wu , Scott Klasky

Creating a highly parallel and flexible discrete element software requires an interdisciplinary approach, where expertise from different disciplines is combined. On the one hand domain specialists provide interaction models between…

Software Engineering · Computer Science 2019-06-27 Sebastian Eibl , Ulrich Rüde

Wakefield accelerators are under development in many laboratories worldwide. They bring the promise of a high accelerating gradient, orders of magnitude higher than current machines. The reduction in the overall length of the accelerators…

Accelerator Physics · Physics 2020-05-19 Alessandro Cianchi

In laser illuminated dielectric accelerators (DLA) high acceleration gradients can be achieved, due to high damage thresholds of the materials at optical frequencies. This is a necessity in developing more compact particle accelerator…

Accelerator Physics · Physics 2018-12-26 Willi Kuropka , Frank Mayet , Ulrich Dorda , Ralph Assmann

Laser-plasma accelerators outperform current radiofrequency technology in acceleration strength by orders of magnitude. Yet, enabling them to deliver competitive beam quality for demanding applications, particularly in terms of energy…

Los Alamos is currently developing novel particle accelerator controls and diagnostics algorithms to enable higher quality beams with lower beam losses than is currently possible. The purpose of this workshop was to consider tuning and…

Accelerator Physics · Physics 2020-01-16 Alexander Scheinker , Claudio Emma , Auralee L. Edelen , Spencer Gessner

Propagation distances of intense laser pulses and high-charge electron beams through the plasma are, respectively, limited by diffraction and self-deceleration. This imposes severe constraints on the performance of the two major advanced…

Plasma Physics · Physics 2020-12-30 Tianhong Wang , Vladimir Khudik , Gennady Shvets

exa-AMD is a Python-based application designed to accelerate the discovery and design of functional materials by integrating AI/ML tools, materials databases, and quantum mechanical calculations into scalable, high-performance workflows.…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-06-27 Maxim Moraru , Weiyi Xia , Zhuo Ye , Feng Zhang , Yongxin Yao , Ying Wai Li , Cai-Zhuang Wang

This document is one of the deliverable reports created for the ESCAPE project. ESCAPE stands for Energy-efficient Scalable Algorithms for Weather Prediction at Exascale. The project develops world-class, extreme-scale computing…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-08-20 Cyril Mazauric , Erwan Raffin , David Guibert

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

Dedicated hardware accelerators are suitable for parallel computational tasks. Moreover, they have the tendency to accept inexact results. These hardware accelerators are extensively used in image processing and computer vision…

Signal Processing · Electrical Eng. & Systems 2020-01-14 Mahmoud Masadeh , Osman Hasan , Sofiene Tahar

Machine-learning-based interatomic potentials enable accurate materials simulations on extended time- and lengthscales. ML potentials based on the Atomic Cluster Expansion (ACE) framework have recently shown promising performance for this…

Computational Physics · Physics 2024-08-02 Daniel F. Thomas du Toit , Yuxing Zhou , Volker L. Deringer

We aim to implement a Big Data/Extreme Computing (BDEC) capable system infrastructure as we head towards the era of Exascale computing - termed SAGE (Percipient StorAGe for Exascale Data Centric Computing). The SAGE system will be capable…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-05-03 Sai Narasimhamurthy , Nikita Danilov , Sining Wu , Ganesan Umanesan , Stefano Markidis , Sergio Rivas-Gomez , Ivy Bo Peng , Erwin Laure , Dirk Pleiter , Shaun de Witt

For many macromolecular systems the accurate sampling of the relevant regions on the potential energy surface cannot be obtained by a single, long Molecular Dynamics (MD) trajectory. New approaches are required to promote more efficient…

Computational Engineering, Finance, and Science · Computer Science 2016-06-02 Vivekanandan Balasubramanian , Iain Bethune , Ardita Shkurti , Elena Breitmoser , Eugen Hruska , Cecilia Clementi , Charles Laughton , Shantenu Jha

We introduce a plasma wakefield acceleration scheme capable of boosting initially subrelativistic particles to relativistic velocities within millimeter-scale distances. A subluminal light pulse drives a wake whose velocity is continuously…

With the increasing brightness of Light sources, including the Diffraction-Limited brightness upgrade of APS and the high-repetition-rate upgrade of LCLS, the proposed experiments therein are becoming increasingly complex. For instance,…

Instrumentation and Detectors · Physics 2025-06-02 Aashwin Mishra , Matt Seaberg , Ryan Roussel , Fred Poitevin , Jana Thayer , Daniel Ratner , Auralee Edelen , Apurva Mehta