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Recently Arm introduced a new instruction set called Scalable Vector Extension (SVE), which supports vector lengths up to 2048 bits. While SVE hardware will not be generally available until about 2021, we believe that future SVE-based…

High Energy Physics - Lattice · Physics 2019-04-09 Nils Meyer , Dirk Pleiter , Stefan Solbrig , Tilo Wettig

We discuss a substantial update to the Grid software library for Lattice QCD, enabling it to port to multiple GPU architectures while retaining CPU vectorisation and SIMD execution within OpenMP threads. The GPU environments supported…

High Energy Physics - Lattice · Physics 2022-03-15 Peter Boyle , Guido Cossu , Gianluca Filaci , Christoph Lehner , Antonin Portelli , Azusa Yamaguchi

QPACE is a novel massively parallel architecture optimized for lattice QCD simulations. A single QPACE node is based on the IBM PowerXCell 8i processor. The nodes are interconnected by a custom 3-dimensional torus network implemented on an…

High Energy Physics - Lattice · Physics 2011-03-08 Y. Nakamura , A. Nobile , D. Pleiter , H. Simma , T. Streuer , T. Wettig , F. Winter

One of the key requirements for the Lattice QCD Application Development as part of the US Exascale Computing Project is performance portability across multiple architectures. Using the Grid C++ expression template as a starting point, we…

High Energy Physics - Lattice · Physics 2018-04-18 Peter A. Boyle , M. A. Clark , Carleton DeTar , Meifeng Lin , Verinder Rana , Alejandro Vaquero Avilés-Casco

A portable implementation of elaborated algorithm is important to use variety of architectures in HPC applications. In this work we implement and benchmark an algebraic multi-grid solver for Lattice QCD on three different architectures,…

High Energy Physics - Lattice · Physics 2021-11-10 Issaku Kanamori , Ken-Ichi Ishikawa , Hideo Matsufuru

Optimization of applications for supercomputers of the highest performance class requires parallelization at multiple levels using different techniques. In this contribution we focus on parallelization of particle physics simulations…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-01-23 Nils Meyer , Peter Georg , Dirk Pleiter , Stefan Solbrig , Tilo Wettig

Vector architectures are essential for boosting computing throughput. ARM provides SVE as the next-generation length-agnostic vector extension beyond traditional fixed-length SIMD. This work provides a first study of the maturity and…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-05-15 Ruimin Shi , Gabin Schieffer , Maya Gokhale , Pei-Hung Lin , Hiren Patel , Ivy Peng

ARM SVE and RISC-V RVV are emerging vector architectures in high-end processors that support vectorization of flexible vector length. In this work, we leverage an important workload for quantum computing, quantum state-vector simulations,…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-03-16 Ruimin Shi , Gabin Schieffer , Pei-Hung Lin , Maya Gokhale , Andreas Herten , Ivy Peng

We give an overview of the QPACE project, which is pursuing the development of a massively parallel, scalable supercomputer for LQCD. The machine is a three-dimensional torus of identical processing nodes, based on the PowerXCell 8i…

The SX-Aurora TSUBASA PCIe accelerator card is the newest model of NEC's SX architecture family. Its multi-core vector processor features a vector length of 16 kbits and interfaces with up to 48 GB of HBM2 memory in the current models,…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-02-04 Benjamin Huth , Nils Meyer , Tilo Wettig

We evaluate IBM's Enhanced Cell Broadband Engine (BE) as a possible building block of a new generation of lattice QCD machines. The Enhanced Cell BE will provide full support of double-precision floating-point arithmetics, including…

We present details of our implementation of the Wuppertal adaptive algebraic multigrid code DD-$\alpha$AMG on SIMD architectures, with particular emphasis on the Intel Xeon Phi processor (KNC) used in QPACE 2. As a smoother, the algorithm…

Computational Physics · Physics 2015-12-15 Simon Heybrock , Matthias Rottmann , Peter Georg , Tilo Wettig

We present here the most recent version of FermiQCD, a collection of C++ classes, functions and parallel algorithms for lattice QCD, based on Matrix Distributed Processing. FermiQCD allows fast development of parallel lattice applications…

High Energy Physics - Lattice · Physics 2015-06-25 Massimo Di Pierro

This article describes the ARM Scalable Vector Extension (SVE). Several goals guided the design of the architecture. First was the need to extend the vector processing capability associated with the ARM AArch64 execution state to better…

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…

The sparse matrix/vector product (SpMV) is a fundamental operation in scientific computing. Having access to an efficient SpMV implementation is therefore critical, if not mandatory, to solve challenging numerical problems. The ARM-based…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-07-28 Evann Regnault , Berenger Bramas

We report on our implementation of LatticeQCD applications using OpenCL. We focus on the general concept and on distributing different parts on hybrid systems, consisting of both CPUs (Central Processing Units) and GPUs (Graphic Processing…

High Energy Physics - Lattice · Physics 2011-12-23 Matthias Bach , Owe Philipsen , Christopher Pinke , Christian Schäfer , Lars Zeidlewicz

We investigate implementation of lattice Quantum Chromodynamics (QCD) code on the Intel AVX-512 architecture. The most time consuming part of the numerical simulations of lattice QCD is a solver of linear equation for a large sparse matrix…

High Energy Physics - Lattice · Physics 2018-11-05 Issaku Kanamori , Hideo Matsufuru

Bridge++ is a general-purpose code set for a numerical simulation of lattice QCD aiming at a readable, extensible, and portable code while keeping practically high performance. The previous version of Bridge++ is implemented in double…

The A64FX CPU is arguably the most powerful Arm-based processor design to date. Although it is a traditional cache-based multicore processor, its peak performance and memory bandwidth rival accelerator devices. A good understanding of its…

Performance · Computer Science 2021-08-05 Christie Alappat , Nils Meyer , Jan Laukemann , Thomas Gruber , Georg Hager , Gerhard Wellein , Tilo Wettig
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