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Energy consumption is a growing issue in data centers, impacting their economic viability and their public image. In this work we empirically characterize the power and energy consumed by different types of servers. In particular, in order…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-02-05 Jordi Arjona , Angelos Chatzipapas , Antonio Fernandez Anta , Vincenzo Mancuso

The growing demand for data center capacity, driven by the growth of high-performance computing, cloud computing, and especially artificial intelligence, has led to a sharp increase in data center energy consumption. To improve energy…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-05 Jonathan Bader , Julius Irion , Jannis Kappel , Joel Witzke , Niklas Fomin , Diellza Sherifi , Odej Kao

The SPEC Power benchmark offers valuable insights into the energy efficiency of server systems, allowing comparisons across various hardware and software configurations. Benchmark results are publicly available for hundreds of systems from…

Hardware Architecture · Computer Science 2024-11-12 Hannes Tröpgen , Robert Schöne , Thomas Ilsche , Daniel Hackenberg

Power management has become a crucial focus in the modern computing landscape, considering that {\em energy} is increasingly recognized as a critical resource. This increased the importance of all topics related to {\em energy-aware…

Performance · Computer Science 2025-11-04 Roblex Nana Tchakoute , Claude Tadonki , Petr Dokladal , Youssef Mesri

The use of High Performance Computing (HPC) in commercial and consumer IT applications is becoming popular. They need the ability to gain rapid and scalable access to high-end computing capabilities. Cloud computing promises to deliver such…

Distributed, Parallel, and Cluster Computing · Computer Science 2009-09-08 Saurabh Kumar Garg , Chee Shin Yeo , Arun Anandasivam , Rajkumar Buyya

The accelerating technological landscape and drive towards net-zero emission made the power system grow in scale and complexity. Serial computational approaches for grid planning and operation struggle to execute necessary calculations…

Systems and Control · Electrical Eng. & Systems 2022-07-07 Ahmed Al-Shafei , Hamidreza Zareipour , Yankai Cao

With growing use of internet and exponential growth in amount of data to be stored and processed (known as 'big data'), the size of data centers has greatly increased. This, however, has resulted in significant increase in the power…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-05-08 Sparsh Mittal

Although cloud computing has been transformational to the IT industry, it is built on large data centres that often consume massive amounts of electrical power. Efforts have been made to reduce the energy clouds consume, with certain data…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-08-28 Francois Rossigneux , Jean-Patrick Gelas , Laurent Lefevre , Marcos Dias de Assuncao

The overall performance of the development of computing systems has been engrossed on enhancing demand from the client and enterprise domains. but, the intake of ever-increasing energy for computing systems has commenced to bound in…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-10-18 Syed Arshad Ali , Mohammad Affan , Mansaf Alam

Energy consumption has become a first-class optimization goal in design and implementation of data-intensive computing systems. This is particularly true in the design of database management systems (DBMS), which was found to be the major…

Databases · Computer Science 2017-03-09 Peyman Behzadnia , Yi-Cheng Tu , Bo Zeng , Wei Yuan

Massive data centers housing thousands of computing nodes have become commonplace in enterprise computing, and the power consumption of such data centers is growing at an unprecedented rate. Adding to the problem is the inability of the…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-01-13 Balaji Subramaniam , Wu-chun Feng

Graphics Processing Units (GPUs) have become an integral part of High-Performance Computing to achieve an Exascale performance. The main goal of application developers of GPU is to tune their code extensively to obtain optimal performance,…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-05-04 Gargi Alavani , Santonu Sarkar

Energy is now a first-class design constraint along with performance in all computing settings. Energy predictive modelling based on performance monitoring counts (PMCs) is the leading method used for prediction of energy consumption during…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-09-28 Arsalan Shahid , Muhammad Fahad , Ravi Reddy Manumachu , Alexey Lastovetsky

For current High Performance Computing systems to scale towards the holy grail of ExaFLOP performance, their power consumption has to be reduced by at least one order of magnitude. This goal can be achieved only through a combination of…

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

Cloud data centers face increasing pressure to reduce operational energy consumption as big data workloads continue to grow in scale and complexity. This paper presents a workload aware and energy efficient scheduling framework that…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-21 Milan Parikh , Aniket Abhishek Soni , Sneja Mitinbhai Shah , Ayush Raj Jha

Efficient utilization of GPU resources and power has become critical with the growing demand for GPUs in high-performance computing (HPC). In this paper, we analyze GPU utilization and GPU memory utilization, as well as the power…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-03 Beste Oztop , Dhruva Kulkarni , Zhengji Zhao , Ayse Kivilcim Coskun , Kadidia Konate

Main memory's rising energy consumption has emerged as a critical challenge in modern computing architectures, particularly in large-scale systems, driven by frequent access patterns, growing data volumes, and insufficient power management…

Power consumption is a critical consideration in high performance computing systems and it is becoming the limiting factor to build and operate Petascale and Exascale systems. When studying the power consumption of existing systems running…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-01-27 Radim Vavřík , Antoni Portero , Štěpán Kuchař , Martin Golasowski , Simone Libutti , Giuseppe Massari , William Fornaciari , Vít Vondrák

High Performance Computing is an internet based computing which makes computer infrastructure and services available to the user for research purpose. However, an important issue which needs to be resolved before High Performance Computing…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-03-13 Vivek Chalotra , Anju Bhasin , Anik Gupta , Sanjeev Singh Sambyal , Sanjay Mahajan

Promoting energy efficiency to a first class system design goal is an important research challenge. Although more energy-efficient hardware can be designed, it is software that controls the hardware; for a given system the potential for…