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We estimate the resource requirements for the quantum simulation of the ground state energy of the one dimensional quantum transverse Ising model (TIM), based on the surface code implementation of a fault tolerant quantum computer. The…

Quantum Physics · Physics 2013-04-02 Hao You , Michael R. Geller , P. C. Stancil

We benchmark simulations of many-body quantum systems on heterogeneous hardware platforms using CPUs, GPUs, and TPUs. We compare different linear algebra backends, e.g., NumPy versus the PyTorch, JAX, or TensorFlow libraries, as well as a…

Quantum Physics · Physics 2026-05-12 Daniel Jaschke , Marco Ballarin , Nora Reinić , Luka Pavešić , Simone Montangero

Most FPGA boards in the HPC domain are well-suited for parallel scaling because of the direct integration of versatile and high-throughput network ports. However, the utilization of their network capabilities is often challenging and…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-04-09 Marius Meyer , Tobias Kenter , Lucian Petrica , Kenneth O'Brien , Michaela Blott , Christian Plessl

We have investigated plasma-surface interactions with molecular dynamics (MD) simulations. It, however, is high cost computation and is limited to simulations for materials of nanometer order. In order to overcome the limitation, a…

Materials Science · Physics 2010-05-20 Arimichi Takayama , Seiki Saito , Atsushi M. Ito , Takahiro Kenmotsu , Hiroaki Nakamura

Multi-principle element alloys have enormous potential, but their exploration suffers from the tremendously large range of configurations. In the last decade such alloys have been designed with a focus on random solid solutions. Here we…

Materials Science · Physics 2017-02-15 Lukasz Rogal , Piotr Bobrowski , Fritz Koermann , Sergiy Divinski , Frank Stein , Blazej Grabowski

ALICE is the dedicated heavy ion experiment at the LHC at CERN and records lead-lead collisions at a rate of up to 50 kHz in LHC Run 3. To cope with such collision and data rates, ALICE uses a new GEM TPC with continuous readout and a…

Instrumentation and Detectors · Physics 2026-01-29 David Rohr

With the appearance of the heterogeneous platform OpenPower,many-core accelerator devices have been coupled with Power host processors for the first time. Towards utilizing their full potential, it is worth investigating performance…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-07 Erik Zenker , René Widera , Axel Huebl , Guido Juckeland , Andreas Knüpfer , Wolfgang E. Nagel , Michael Bussmann

We have extended the Falkon lightweight task execution framework to make loosely coupled programming on petascale systems a practical and useful programming model. This work studies and measures the performance factors involved in applying…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-17 Ioan Raicu , Zhao Zhang , Mike Wilde , Ian Foster , Pete Beckman , Kamil Iskra , Ben Clifford

With current and future leading systems adopting heterogeneous architectures, adapting existing models for heterogeneous supercomputers is of urgent need for improving model resolution and reducing modeling uncertainty. This paper presents…

This report discusses many-task computing (MTC) generically and in the context of the proposed Blue Waters systems, which is planned to be the largest NSF-funded supercomputer when it begins production use in 2012. The aim of this report is…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-02-20 Daniel S. Katz , Timothy G. Armstrong , Zhao Zhang , Michael Wilde , Justin M. Wozniak

The assumption of maximum parallelism support for the successful realization of scalable quantum computers has led to homogeneous, ``sea-of-qubits'' architectures. The resulting architectures overcome the primary challenges of reliability…

The next significant step in the evolution and proliferation of artificial intelligence technology will be the integration of neural network (NN) models within embedded and mobile systems. This calls for the design of compact, energy…

Machine Learning · Computer Science 2020-02-05 Elham Azari , Sarma Vrudhula

We present a parallel solver for numerical constraint satisfaction problems (NCSPs) that can scale on a number of cores. Our proposed method runs worker solvers on the available cores and simultaneously the workers cooperate for the search…

Artificial Intelligence · Computer Science 2014-11-07 Daisuke Ishii , Kazuki Yoshizoe , Toyotaro Suzumura

We present a fully modular and scalable software pipeline for processing electron microscope (EM) images of brain slices into 3D visualization of individual neurons and demonstrate an end-to-end segmentation of a large EM volume using a…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-11-20 Rafael Vescovi , Hanyu Li , Jeffery Kinnison , Murat Keceli , Misha Salim , Narayanan Kasthuri , Thomas D. Uram , Nicola Ferrier

Simulation of quantum computing on supercomputers is a significant research topic, which plays a vital role in quantum algorithm verification, error-tolerant verification and other applications. Tensor network contraction based on density…

Today, many scientific and engineering areas require high performance computing to perform computationally intensive experiments. For example, many advances in transport phenomena, thermodynamics, material properties, computational…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-07-15 K. G. Kapanova , J. M. Sellier

Writing high performance solvers for engineering applications is a delicate task. These codes are often developed on an application to application basis, highly optimized to solve a certain problem. Here, we present our work on developing a…

Computational Engineering, Finance, and Science · Computer Science 2018-08-14 Niclas Jansson , Rahul Bale , Keiji Onishi , Makoto Tsubokura

In this tutorial paper, we will firstly review some basic simulation concepts and then introduce the parallel and distributed simulation techniques in view of some new challenges of today and tomorrow. More in particular, in the last years…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-03-19 Gabriele D'Angelo

High performance computing (HPC) systems underwent a significant increase in their processing capabilities. Modern HPC systems combine large numbers of homogeneous and heterogeneous computing resources. Scalability is, therefore, an…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-11-05 Ahmed Eleliemy , Ali Mohammed , Florina M. Ciorba

Numerical studies of shock waves in large scale systems via kinetic simulations with millions of particles are too computationally demanding to be processed in serial. In this work we focus on optimizing the parallel performance of a…

Computational Physics · Physics 2015-07-10 Jim Howell , Wolfgang Bauer , Dirk Colbry , Rodney Pickett , Alec Staber , Irina Sagert , Terrance Strother