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Modern Intel CPUs reduce their frequency when executing wide vector operations (AVX2 and AVX-512 instructions), as these instructions increase power consumption. The frequency is only increased again two milliseconds after the last code…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-01-16 Mathias Gottschlag , Frank Bellosa

Energy efficiency is becoming increasingly important for computing systems, in particular for large scale HPC facilities. In this work we evaluate, from an user perspective, the use of Dynamic Voltage and Frequency Scaling (DVFS)…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-03-09 Enrico Calore , Alessandro Gabbana , Sebastiano Fabio Schifano , Raffaele Tripiccione

Modern computing paradigms, such as cloud computing, are increasingly adopting GPUs to boost their computing capabilities primarily due to the heterogeneous nature of AI/ML/deep learning workloads. However, the energy consumption of GPUs is…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-04-29 Shashikant Ilager , Rajeev Muralidhar , Kotagiri Rammohanrao , Rajkumar Buyya

Multi-core processors are becoming more and more popular in embedded and real-time systems. While fixed-priority scheduling with task-splitting in real-time systems are widely applied, current approaches have not taken into consideration…

Operating Systems · Computer Science 2015-12-24 Yao Guo , Junyang Lu

With the continuous improvement of on-chip integrated voltage regulators (IVRs) and fast, adaptive frequency control, dynamic voltage-frequency scaling (DVFS) transition times have shrunk from the microsecond to the nanosecond regime,…

Hardware Architecture · Computer Science 2022-05-03 Srikant Bharadwaj , Shomit Das , Kaushik Mazumdar , Bradford Beckmann , Stephen Kosonocky

Dynamic Voltage and Frequency Scaling (DVFS), CPU pinning, horizontal, and vertical scaling, are four techniques that have been proposed as actuators to control the performance and energy consumption on data center servers. This work…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-03-14 Jakub Krzywda , Ahmed Ali-Eldin , Trevor E. Carlson , Per-Olov Östberg , Erik Elmroth

Energy consumption is an important concern in modern multicore processors. The energy consumed during the execution of an application can be minimized by tuning the hardware state utilizing knobs such as frequency, voltage etc. The existing…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-05-16 Chhaya Trehan , Hans Vandierendonck , Georgios Karakonstantis , Dimitrios S. Nikolopoulos

This paper describes a new approach to experimentally estimate the application schedulability for various processor frequencies. We use additional workload generated by an artificial high priority routine to simulate the frequency decrease…

Software Engineering · Computer Science 2007-05-23 Sampsa Fabritius , Raimondas Lencevicius , Edu Metz , Alexander Ran

A low-cap power budget is challenging for exascale computing. Dynamic Voltage and Frequency Scaling (DVFS) and Uncore Frequency Scaling (UFS) are the two widely used techniques for limiting the HPC application's energy footprint. However,…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-10-05 Sunil Kumar , Akshat Gupta , Vivek Kumar , Sridutt Bhalachandra

Graphics Processing Units (GPUs) support dynamic voltage and frequency scaling (DVFS) in order to balance computational performance and energy consumption. However, there still lacks simple and accurate performance estimation of a given GPU…

Performance · Computer Science 2018-06-14 Qiang Wang , Xiaowen Chu

Today, most embedded systems use Dynamic Voltage and Frequency Scaling (DVFS) to minimize energy consumption and maximize performance. The DVFS technique works by regulating the important parameters that govern the amount of energy consumed…

Cryptography and Security · Computer Science 2019-02-25 El Mehdi Benhani , Lilian Bossuet

Energy conservation of large data centers for high-performance computing workloads, such as deep learning with big data, is of critical significance, where cutting down a few percent of electricity translates into million-dollar savings.…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-04-02 Xinxin Mei , Qiang Wang , Xiaowen Chu , Hai Liu , Yiu-Wing Leung , Zongpeng Li

The goal of this work is to minimize the energy dissipation of embedded controllers without jeopardizing the quality of control (QoC). Taking advantage of the dynamic voltage scaling (DVS) technology, this paper develops a performance-aware…

Other Computer Science · Computer Science 2008-09-30 Feng Xia , Liping Liu , Longhua Ma , Youxian Sun , Jinxiang Dong

In recent years there has been an increasing use of embedded systems because of advances in technology, the reduction of the costs of electronic equipment and mainly the popularity of mobile devices. Many of these systems implement low…

Other Computer Science · Computer Science 2015-04-24 Rawlinson S. Gonçalves , Raimundo da Silva Barreto

We present hardware/software techniques to intelligently regulate supply voltage and clock frequency of intermittently-computing devices. These devices rely on ambient energy harvesting to power their operation and small capacitors as…

Hardware Architecture · Computer Science 2025-03-28 Andrea Maioli , Kevin A. Quinones , Saad Ahmed , Muhammad H. Alizai , Luca Mottola

Constraints imposed by power consumption and the related costs are one of the key roadblocks to the design and development of next generation exascale systems. To mitigate these issues, strategies that reduce the power consumption of the…

Signal Processing · Electrical Eng. & Systems 2019-04-17 Milan Yadav , Kanak Khanna

We present a family of policies that, integrated within a runtime task scheduler (Nanox), pursue the goal of improving the energy efficiency of task-parallel executions with no intervention from the programmer. The proposed policies tackle…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-02-12 Luis Costero , Francisco D. Igual , Katzalin Olcoz , Francisco Tirado

The Intel Haswell-EP processor generation introduces several major advancements of power control and energy-efficiency features. For computationally intense applications using advanced vector extension (AVX) instructions, the processor…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-08-27 Joseph Schuchart , Daniel Hackenberg , Robert Schöne , Thomas Ilsche , Ramkumar Nagappan , Michael K. Patterson

Dynamic voltage and frequency scaling (DVFS) and task-to-core allocation are critical for thermal management and balancing energy and performance in embedded systems. Existing approaches either rely on utilization-based heuristics that…

Artificial Intelligence · Computer Science 2026-03-03 Mohammad Pivezhandi , Mahdi Banisharif , Abusayeed Saifullah , Ali Jannesari

Energy consumption is a critical design issue in real-time systems, especially in battery- operated systems. Maintaining high performance, while extending the battery life between charges is an interesting challenge for system designers.…

Operating Systems · Computer Science 2010-12-30 Santhi Baskaran , P. Thambidurai
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