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Nowadays, the paradigm of parallel computing is changing. CUDA is now a popular programming model for general purpose computations on GPUs and a great number of applications were ported to CUDA obtaining speedups of orders of magnitude…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-02-09 Bogdan Oancea , Tudorel Andrei

The Large Hadron Collider (LHC) at CERN will see an upgraded hardware configuration which will bring a new era of physics data taking and related computational challenges. To this end, it is necessary to exploit the ever increasing variety…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-12-06 Monica Dessole , Jolly Chen , Axel Naumann

Portability is critical to ensuring high productivity in developing and maintaining scientific software as the diversity in on-node hardware architectures increases. While several programming models provide portability for diverse GPU…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-08 Joshua H. Davis , Pranav Sivaraman , Joy Kitson , Konstantinos Parasyris , Harshitha Menon , Isaac Minn , Giorgis Georgakoudis , Abhinav Bhatele

The high-performance computing (HPC) landscape is undergoing rapid transformation, with an increasing emphasis on energy-efficient and heterogeneous computing environments. This comprehensive study extends our previous research on SYCL's…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-04-15 Manuel Costanzo , Enzo Rucci , Carlos García-Sánchez , Marcelo Naiouf , Manuel Prieto-Matías

The supercomputing platforms available for high performance computing based research evolve at a great rate. However, this rapid development of novel technologies requires constant adaptations and optimizations of the existing codes for…

High Energy Physics - Lattice · Physics 2017-02-23 Marina Krstic Marinkovic , Luka Stanisic

Accelerated computing is widely used in high-performance computing. Therefore, it is crucial to experiment and discover how to better utilize GPUGPUs latest generations on relevant applications. In this paper, we present results and share…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-08-13 Baodi Shan , Mauricio Araya-Polo

The Exascale Computing Project (ECP) is invested in co-design to assure that key applications are ready for exascale computing. Within ECP, the Co-design Center for Particle Applications (CoPA) is addressing challenges faced by…

High-level synthesis (HLS) tools have brought FPGA development into the mainstream, by allowing programmers to design architectures using familiar languages such as C, C++, and OpenCL. While the move to these languages has brought…

Hardware Architecture · Computer Science 2019-10-11 Johannes de Fine Licht , Torsten Hoefler

The Knights Landing (KNL) is the codename for the latest generation of Intel processors based on Intel Many Integrated Core (MIC) architecture. It relies on massive thread and data parallelism, and fast on-chip memory. This processor…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-04-06 Enrico Calore , Alessandro Gabbana , Sebastiano Fabio Schifano , Raffaele Tripiccione

Experience shows that on today's high performance systems the utilization of different acceleration cards in conjunction with a high utilization of all other parts of the system is difficult. Future architectures, like exascale clusters,…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-03-07 Patrick Diehl , Madhavan Seshadri , Thomas Heller , Hartmut Kaiser

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…

No area of computing is hungrier for performance than High Performance Computing (HPC), the demands of which continue to be a major driver for processor performance and adoption of accelerators, and also advances in memory, storage, and…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-08-18 Pablo Ouro , Unai Lopez-Novoa , Martyn Guest

We report on the progress of the software effort in the QCD Application Area of SciDAC. In particular, we discuss how the software developed under SciDAC enabled the aggressive exploitation of leadership computers, and we report on progress…

High Energy Physics - Lattice · Physics 2019-08-13 Balint Joo

GPUs have become the dominant source of computing power for high performance computing and are increasingly being used across the High Energy Physics computing landscape for a wide variety of tasks. Though NVIDIA is currently the main…

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

Heterogeneous systems are becoming more common on High Performance Computing (HPC) systems. Even using tools like CUDA and OpenCL it is a non-trivial task to obtain optimal performance on the GPU. Approaches to simplifying this task include…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-01-11 Marek Blazewicz , Steven R. Brandt , Peter Diener , David M. Koppelman , Krzysztof Kurowski , Frank Löffler , Erik Schnetter , Jian Tao

Modern HPC systems are built with innovative system architectures and novel programming models to further push the speed limit of computing. The increased complexity poses challenges for performance portability and performance evaluation.…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-03-29 Holger Brunst , Sunita Chandrasekaran , Florina Ciorba , Nick Hagerty , Robert Henschel , Guido Juckeland , Junjie Li , Veronica G. Melesse Vergara , Sandra Wienke , Miguel Zavala

A considerable amount of research and engineering went into designing proxy applications, which represent common high-performance computing workloads, to co-design and evaluate the current generation of supercomputers, e.g., RIKEN's…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-04-18 Satoshi Matsuoka , Jens Domke , Mohamed Wahib , Aleksandr Drozd , Ray Bair , Andrew A. Chien , Jeffrey S. Vetter , John Shalf

COSA is a novel CFD system based on the compressible Navier-Stokes model for unsteady aerodynamics and aeroelasticity of fixed structures, rotary wings and turbomachinery blades. It includes a steady, time domain, and harmonic balance flow…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-04-30 Adrian Jackson , M. Sergio Campobasso

Computer Architecture, broadly, involves optimizing hardware and software for current and future processing systems. Although there are several other top venues to publish Computer Architecture research, including ASPLOS, HPCA, and MICRO,…