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In order to quantify the relative performance of different testbed quantum computing devices, it is useful to benchmark them using a common protocol. While some benchmarks rely on the performance of random circuits and are generic in…

Quantum Physics · Physics 2022-04-20 Bryan T. Gard , Adam M. Meier

The recent past has seen the adoption of multi-cloud deployments by enterprises due to availability, features, and regulatory requirements. A typical deployment involves parts of an application/workloads running inside a private cloud with…

Networking and Internet Architecture · Computer Science 2022-03-07 Pravein Govindan Kannan , Brent Salisbury , Palanivel Kodeswaran , Sayandeep Sen

Nowadays, latency-critical, high-performance applications are parallelized even on power-constrained client systems to improve performance. However, an important scenario of fine-grained tasking on simultaneous multithreading CPU cores in…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-10-03 Denis Los , Igor Petushkov

Hyperscalars run services across a large fleet of servers, serving billions of users worldwide. These services, however, behave differently than commonly available benchmark suites, resulting in server architectures that are not optimized…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-05-03 Suyash Mahar , Hao Wang , Wei Shu , Abhishek Dhanotia

The widespread deployment of large-scale, compute-intensive applications such as high-performance computing, artificial intelligence, and big data is leading to convergence between cloud and high-performance computing infrastructures. Cloud…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-15 Valerio Besozzi , Matteo Della Bartola , Patrizio Dazzi , Marco Danelutto

A new class of Second generation high-performance computing applications with heterogeneous, dynamic and data-intensive properties have an extended set of requirements, which cover application deployment, resource allocation, -control, and…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-02-28 Ole Weidner , Malcolm Atkinson , Adam Barker , Rosa Filgueira

Recent development in lightweight OS-level virtualization, containers, provides a potential solution for running HPC applications on the cloud platform. In this work, we focus on the impact of different layers in a containerized environment…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-06-18 Daniel Medeiros , Gabin Schieffer , Jacob Wahlgren , Ivy Peng

The pace of improvement in the performance of conventional computer hardware has slowed significantly during the past decade, largely as a consequence of reaching the physical limits of manufacturing processes. To offset this slowdown, new…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-12-16 Marc P. Armstrong

Accurately estimate performance of currently available processors is becoming a key activity, particularly in HENP environment, where high computing power is crucial. This document describes the methods and programs, opensource or freeware,…

High Energy Physics - Experiment · Physics 2007-05-23 R. Esposito , P. Mastroserio , G. Tortone , F. M. Taurino

We present Benchpress, a benchmarking suite for evaluating the performance and range of functionality of multiple quantum computing software development kits. This suite consists of a collection of over $1000$ tests measuring key…

Containers improve the efficiency in application deployment and thus have been widely utilised on Cloud and lately in High Performance Computing (HPC) environments. Containers encapsulate complex programs with their dependencies in isolated…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-12-20 Naweiluo Zhou , Huan Zhou , Dennis Hoppe

Recently, a number of cloud platforms and services have been developed for data intensive computing, including Hadoop, Sector, CloudStore (formerly KFS), HBase, and Thrift. In order to benchmark the performance of these systems, to…

Distributed, Parallel, and Cluster Computing · Computer Science 2009-07-29 Robert Grossman , Yunhong Gu , Michal Sabala , Collin Bennet , Jonathan Seidman , Joe Mambratti

High-performance computing systems are more and more often based on accelerators. Computing applications targeting those systems often follow a host-driven approach in which hosts offload almost all compute-intensive sections of the code…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-05-15 E. Calore , A. Gabbana , S. F. Schifano , R. Tripiccione

This paper discusses the various models related to cloud computing. Knowing the metrics related to infrastructure is very critical to enhance the performance of cloud services. Various metrics related to clouds such as pageview response…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-05-04 Chaitanya Krishna Kande

A key challenge for supporting elastic behaviour in cloud systems is to achieve a good performance in automated (de-)provisioning and scheduling of computing resources. One of the key aspects that can be significant is the overheads…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-01-31 Víctor Medel , Rafael Tolosana-Calasanz , José Ángel Bañares , Unai Arronategui , Omer F. Rana

Allocating resources in a distributed environment is a fundamental challenge. In this paper, we analyze the scheduling and placement of virtual machines (VMs) in the cloud platform of SAP, the world's largest enterprise resource planning…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-29 Arno Uhlig , Iris Braun , Matthias Wählisch

In recent years, as the demand for low energy and high performance computing has steadily increased, heterogeneous computing has emerged as an important and promising solution. Because most workloads can typically run most efficiently on…

Performance · Computer Science 2017-12-11 Zhuo Chen , Diana Marculescu

Shared memory multiprocessors come back to popularity thanks to rapid spreading of commodity multi-core architectures. As ever, shared memory programs are fairly easy to write and quite hard to optimise; providing multi-core programmers…

Distributed, Parallel, and Cluster Computing · Computer Science 2009-09-10 Marco Aldinucci , Massimo Torquati , Massimiliano Meneghin

High Performance Computing (HPC) clouds are becoming an alternative to on-premise clusters for executing scientific applications and business analytics services. Most research efforts in HPC cloud aim to understand the cost-benefit of…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-02-05 Marco A. S. Netto , Rodrigo N. Calheiros , Eduardo R. Rodrigues , Renato L. F. Cunha , Rajkumar Buyya

The aim of this article is to present an overview of the major families of state-of-the-art data processing benchmarks, namely transaction processing benchmarks and decision support benchmarks. We also address the newer trends in cloud…

Databases · Computer Science 2017-01-31 Jérôme Darmont