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This paper presents datacenter power profiles, a new NVIDIA software feature released with Blackwell B200, aimed at improving energy efficiency and/or performance. The initial feature provides coarse-grain user control for HPC and AI…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-12-08 Sreedhar Narayanaswamy , Pratikkumar Dilipkumar Patel , Ian Karlin , Apoorv Gupta , Sudhir Saripalli , Janey Guo

The popularization of cloud computing has raised concerns over the energy consumption that takes place in data centers. In addition to the energy consumed by servers, the energy consumed by large numbers of network devices emerges as a…

Networking and Internet Architecture · Computer Science 2016-11-17 Lin Wang , Fa Zhang , Jordi Arjona Aroca , Athanasios V. Vasilakos , Kai Zheng , Chenying Hou , Dan Li , Zhiyong Liu

The energy consumption of an exascale High-Performance Computing (HPC) supercomputer rivals that of tens of thousands of people in terms of electricity demand. Given the substantial energy footprint of exascale HPC systems and the…

Optimization and Control · Mathematics 2024-04-05 Luc Angelelli , Danilo Carastan-Santos , Pierre-François Dutot

As a broader set of applications from simulations to data analysis and machine learning require more parallel computational capability, the demand for interactive and urgent high performance computing (HPC) continues to increase. This paper…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-01-29 Albert Reuther , Nick Brown , William Arndt , Johannes Blaschke , Christian Boehme , Antony Chazapis , Bjoern Enders , Robert Henschel , Julian Kunkel , Maxime Martinasso

Scientific simulation leveraging high-performance computing (HPC) systems is crucial for modeling complex systems and phenomena in fields such as astrophysics, climate science, and fluid dynamics, generating massive datasets that often…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-07-03 Wenqi Jia , Ying Huang , Jian Xu , Zhewen Hu , Sian Jin , Jiannan Tian , Yuede Ji , Miao Yin

The pursuit of many research questions requires massive computational resources. State-of-the-art research in physical processes using simulations, the training of neural networks for deep learning, or the analysis of big data are all…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-07-08 Magnus Själander , Magnus Jahre , Gunnar Tufte , Nico Reissmann

Toward the goal of maximizing the impact of computer modeling on the design of future particle accelerators and the development of new accelerator techniques & technologies, this white paper presents the rationale for: (a) strengthening and…

Power consumption is a major obstacle for High Performance Computing (HPC) systems in their quest towards the holy grail of ExaFLOP performance. Significant advances in power efficiency have to be made before this goal can be attained and…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-06-01 Alina Sîrbu , Ozalp Babaoglu

We investigate the energy efficiency of a library designed for parallel computations with sparse matrices. The library leverages high-performance, energy-efficient Graphics Processing Unit (GPU) accelerators to enable large-scale scientific…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-16 Massimo Bernaschi , Alessandro Celestini , Pasqua D'Ambra , Giorgio Richelli

High Energy Physics (HEP) experiments are making increasing use of GPUs and GPU dominated High Performance Computer facilities. Both the software and hardware of these systems are rapidly evolving, creating challenges for experiments to…

High Energy Physics - Experiment · Physics 2025-05-15 Mohammad Atif , Pengfei Ding , Ka Hei Martin Kwok , Charles Leggett

High-energy physics (HEP) provides ever-growing amount of data. To analyse these, continuously-evolving computational power is required in parallel by extending the storage capacity. Such developments play key roles in the future of this…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-03-10 Gábor Bíró , Gergely Gábor Barnaföldi , Péter Lévai

Edge computing faces unprecedented resource orchestration challenges from multi-dimensional heterogeneity across device architectures, diverse task requirements in CPU-intensive, GPU-intensive, I/O-intensive, and dynamic network conditions.…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-12 Jianyong Zhu , Hao Chen , Juan Zhang , Fangda Guo , Albert Y. Zomaya , Renyu Yang

High energy consumption remains a key challenge in high-performance computing (HPC) systems, which often feature hundreds or thousands of nodes drawing substantial power even in idle or standby modes. Although powering down unused nodes can…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-12-23 Thomas Budiarjo , Santana Yuda Pradata , Kadek Gemilang Santiyuda , Muhammad Alfian Amrizal , Reza Pulungan , Hiroyuki Takizawa

The ICT industry today is placed as one of the major consumers of energy, where recent reports have also shown that the industry is a major contributor to global carbon emissions. While renewable energy-aware data centers have been…

Networking and Internet Architecture · Computer Science 2014-12-22 Julien Mineraud , Liang Wang , Sasitharan Balasubramaniam , Jussi Kangasharju

Data centers handle impressive high figures in terms of energy consumption, and the growing popularity of Cloud applications is intensifying their computational demand. Moreover, the cooling needed to keep the servers within reliable…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-12-19 Patricia Arroba , José L. Risco-Martín , José M. Moya , José L. Ayala

High Performance Research Desktops are used by HPC centers and research computing organizations to lower the barrier of entry to HPC systems. These Linux desktops are deployed alongside HPC systems, leveraging the investments in HPC compute…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-04-05 Robert Henschel , Jonas Lindemann , Anders Follin , Bernd Dammann , Cicada Dennis , Abhinav Thota

The growing complexity and scale of scientific workflows in high performance computing (HPC) environments have led to significant challenges in managing energy consumption without compromising computational performance. Traditional…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-25 Ali Zahir , Ashiq Anjum , Mark Wilkinson , Jeyan Thiyagalingam

Cloud computing has become a critical infrastructure for modern society, like electric power grids and roads. As the backbone of the modern economy, it offers subscription-based computing services anytime, anywhere, on a pay-as-you-go…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-07-21 Rajkumar Buyya , Shashikant Ilager , Patricia Arroba

The exponential growth in demand for digital services drives massive datacenter energy consumption and negative environmental impacts. Promoting sustainable solutions to pressing energy and digital infrastructure challenges is crucial.…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-11-11 Vanamala Venkataswamy , Jake Grigsby , Andrew Grimshaw , Yanjun Qi

Access to previous results is of paramount importance in the scientific process. Recent progress in information management focuses on building e-infrastructures for the optimization of the research workflow, through both policy-driven and…

Digital Libraries · Computer Science 2009-01-08 Anne Gentil-Beccot , Salvatore Mele , Annette Holtkamp , Heath B. O'Connell , Travis C. Brooks