R. Tripiccione

University of Ferrara

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Sebastiano Fabio Schifano

Istituto Nazionale di Fisica Nucleare, Sezione di Ferrara

110

Enzo Marinari

Istituto Nazionale di Fisica Nucleare, Sezione di Roma I

Giorgio Parisi

Sapienza University of Rome

L. A. Fernández

United States Naval Research Laboratory

A. Tarancón

Universidad de Zaragoza

N. Cabibbo

European Organization for Nuclear Research

Enrico Calore

University of Ferrara

Filippo Mantovani

Universitat Politècnica de Catalunya

F. Rapuano

Istituto Nazionale di Fisica Nucleare, Sezione di Milano Bicocca

A. Maiorano

Instituto de Biocomputación y Física de Sistemas Complejos

Cooperative Institutions

European Organization for Nuclear Research

223

Istituto Nazionale di Fisica Nucleare, Sezione di Pisa

205

Istituto Nazionale di Fisica Nucleare

162

University of Pisa

131

Istituto Nazionale di Fisica Nucleare, Sezione di Roma I

104

University of Adelaide

Centre National de la Recherche Scientifique

Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Frascati

Johannes Gutenberg University Mainz

Istituto Nazionale di Fisica Nucleare, Sezione di Ferrara

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Spin Glass Simulations on the Janus Architecture: A Desperate Quest for Strong Scaling

Lecture notes in computer science (2013)

Marco Baity‐Jesi R. A. Baños A. Cruz L. A. Fernández J. M. Gil-Narvion

10.1007/978-3-642-36949-0_61

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Citations (1)

QPACE -- a QCD parallel computer based on Cell processors

arXiv (Cornell University) (2009)

Harald Baier H. Boettiger M. Drochner N. Eicker U. Fischer

QPACE is a novel parallel computer which has been developed to be primarily used for lattice QCD simulations. The compute power is provided by the IBM PowerXCell 8i processor, an enhanced version of the Cell processor that is used in the Playstation 3. The QPACE nodes are interconnected by a custom, application optimized 3-dimensional torus network implemented on an FPGA. To achieve the very high packaging density of 26 TFlops per rack a new water cooling concept has been developed and successfully realized. In this paper we give an overview of the architecture and highlight some important technical details of the system. Furthermore, we provide initial performance results and report on the installation of 8 QPACE racks providing an aggregate peak performance of 200 TFlops.

IBM

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Early Performance Assessment of the ThunderX2 Processor for Lattice Based Simulations

Lecture notes in computer science (2020)

Enrico Calore Alessandro Gabbana Fabio Rinaldi Sebastiano Fabio Schifano R. Tripiccione

10.1007/978-3-030-43229-4_17

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Citations (3)

Energy-Efficiency Evaluation of Intel KNL for HPC Workloads

Advances in parallel computing (2018)

Enrico Calore Alessandro Gabbana Sebastiano Fabio Schifano R. Tripiccione

10.3233/978-1-61499-843-3-733

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VACUUM FLUCTUATION AND HARD PROCESSES IN QCD

E. Guadagnini R. Tripiccione K. Konishi

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QPACE: A QCD parallel computer based on Cell processors

Harald Baier H. Boettiger M. Drochner N. Eicker U. Fischer

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Massively parallel lattice–Boltzmann codes on large GPU clusters

Parallel Computing (2016)

Enrico Calore Alessandro Gabbana Jiří Kraus Enrico Pellegrini Sebastiano Fabio Schifano

GPU cluster

Code (set theory)

Lattice Boltzmann methods

10.1016/j.parco.2016.08.005

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Citations (45)

A high-rate X-Y coincidence VLSI system for 2-D imaging detectors

Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (1997)

A. Del Guerra M. Gambaccini Roberto Marchesini E. Bertolucci Maurizio Conti

10.1016/s0168-9002(97)00590-1

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Citations (6)

A scaling law describes the spin-glass response in theory, experiments and simulations

Bulletin of the American Physical Society (2021)

I. Paga Qiang Zhai Marco Baity‐Jesi Enrico Calore J. M. Gil-Narvion

Scaling law

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Scaling, asymptotic scaling, and Symanzik improvement: Deconfinement temperature in SU(2) pure gauge theory

Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields (1994)

G. Cella Giuseppe Curci R. Tripiccione A. Viceré

We report on a high statistics simulation of SU(2) pure gauge field theory at finite temperature, using Symanzik action. We determine the critical coupling for the deconfinement phase transition on lattices up to 8 x 24, using Finite Size Scaling techniques. We find that the pattern of asymptotic scaling violation is essentially the same as the one observed with conventional, not improved action. On the other hand, the use of effective couplings defined in terms of plaquette expectation values shows a precocious scaling, with respect to an analogous analysis of data obtained by the use of Wilson action, which we interpret as an effect of improvement.

Deconfinement

10.1103/physrevd.49.511

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Citations (13)