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Industry 4.0 is changing fundamentally data collection, its storage and analysis in industrial processes, enabling novel application such as flexible manufacturing of highly customized products. Real-time control of these processes,…

分布式、并行与集群计算 · 计算机科学 2020-05-06 Florian Hofer , Martin Sehr , Alberto Sangiovanni-Vincentelli , Barbara Russo

Interactive urgent computing is a small but growing user of supercomputing resources. However there are numerous technical challenges that must be overcome to make supercomputers fully suited to the wide range of urgent workloads which…

分布式、并行与集群计算 · 计算机科学 2022-06-29 Nick Brown , Rupert Nash , Gordon Gibb , Evgenij Belikov , Artur Podobas , Wei Der Chien , Stefano Markidis , Markus Flatken , Andreas Gerndt

Traditional simulations on High-Performance Computing (HPC) systems typically involve modeling very large domains and/or very complex equations. HPC systems allow running large models, but limits in performance increase that have become…

Trusting simulation output is crucial for Sandia's mission objectives. We rely on these simulations to perform our high-consequence mission tasks given national treaty obligations. Other science and modeling applications, while they may…

分布式、并行与集群计算 · 计算机科学 2018-11-13 Jay Lofstead , Joshua Baker , Andrew Younge

The scientific and research community has benefited greatly from containerized distributed High Throughput Computing (dHTC), both by enabling elastic scaling of user compute workloads to thousands of compute nodes, and by allowing for…

分布式、并行与集群计算 · 计算机科学 2025-07-25 Igor Sfiligoi , Yunjin Zhu , Jaime Frey

Edge computing is emerging as a key enabler of low-latency, high-efficiency processing for the Internet of Things (IoT) and other real-time applications. To support these demands, containerization has gained traction in edge computing due…

分布式、并行与集群计算 · 计算机科学 2024-12-10 Shahidullah Kaiser , Ali Saman Tosun , Turgay Korkmaz

Quantum computing resources are among the most promising candidates for extending the computational capabilities of High-Performance Computing (HPC) systems. As a result, HPC-quantum integration has become an increasingly active area of…

Context: Container data types are ubiquitous in computer programming, enabling developers to efficiently store and process collections of data with an easy-to-use programming interface. Many programming languages offer a variety of…

编程语言 · 计算机科学 2023-02-21 Xueying Qin , Liam O'Connor , Michel Steuwer

We propose an approach to utilize idle computational resources of supercomputers. The idea is to maintain an additional queue of low-priority non-parallel jobs and execute them in containers, using container migration tools to break the…

分布式、并行与集群计算 · 计算机科学 2019-09-04 Julia Dubenskaya , Stanislav Polyakov

Developing software to undertake complex, compute-intensive scientific processes requires a challenging combination of both specialist domain knowledge and software development skills to convert this knowledge into efficient code. As…

分布式、并行与集群计算 · 计算机科学 2013-09-05 Jeremy Cohen , Chris Cantwell , Neil Chue Hong , David Moxey , Malcolm Illingworth , Andrew Turner , John Darlington , Spencer Sherwin

The advent of High Performance Computing (HPC) has provided the computational capacity required for power system operators (SO) to obtain solutions in the least time to highly-complex applications, i.e., Unit Commitment (UC). The UC…

分布式、并行与集群计算 · 计算机科学 2017-02-14 Mushfiqur R. Sarker , Jianhui Wang

This paper proposes an architectural framework for the efficient orchestration of containers in cloud environments. It centres around resource scheduling and rescheduling policies as well as autoscaling algorithms that enable the creation…

分布式、并行与集群计算 · 计算机科学 2018-12-26 Rajkumar Buyya , Maria A. Rodriguez , Adel Nadjaran Toosi , Jaeman Park

Containers represent a convenient way of packing applications with dependencies for easy user-level installation and productivity. When running on supercomputers, it becomes crucial to optimize the containers to exploit the performance…

分布式、并行与集群计算 · 计算机科学 2024-07-30 Alfio Lazzaro

Cloud computing is an established technology allowing users to share resources on a large scale, never before seen in IT history. A cloud system connects multiple individual servers in order to process related tasks in several environments…

分布式、并行与集群计算 · 计算机科学 2025-09-30 Leszek Sliwko

The advent of experimental science facilities-instruments and observatories, such as the Large Hadron Collider, the Laser Interferometer Gravitational Wave Observatory, and the upcoming Large Synoptic Survey Telescope-has brought about…

分布式、并行与集群计算 · 计算机科学 2019-02-12 E. A. Huerta , Roland Haas , Shantenu Jha , Mark Neubauer , Daniel S. Katz

As we approach the physical limits of CMOS technology, advances in materials science and nanotechnology are making available a variety of unconventional computing substrates that can potentially replace top-down-designed silicon-based…

新兴技术 · 计算机科学 2014-05-05 Alireza Goudarzi , Matthew R. Lakin , Darko Stefanovic

In a new effort to make our research transparent and reproducible by others, we developed a workflow to run and share computational studies on the public cloud Microsoft Azure. It uses Docker containers to create an image of the application…

计算工程、金融与科学 · 计算机科学 2020-07-24 Olivier Mesnard , Lorena A. Barba

Quantum computing promises to provide the next step up in computational power for diverse application areas. In this review, we examine the science behind the quantum hype, and the breakthroughs required to achieve true quantum advantage in…

量子物理 · 物理学 2025-09-26 R. Au-Yeung , B. Camino , O. Rathore , V. Kendon

Quantum computing (QC) introduces a novel mode of computation with the possibility of greater computational power that remains to be exploited - presenting exciting opportunities for high performance computing (HPC) applications. However,…

Virtualization is a promising technology that has facilitated cloud computing to become the next wave of the Internet revolution. Adopted by data centers, millions of applications that are powered by various virtual machines improve the…

分布式、并行与集群计算 · 计算机科学 2018-05-23 Ying Mao , Jenna Oak , Anthony Pompili , Daniel Beer , Tao Han , Peizhao Hu