scholarly journals Análise de Características Comportamentais de Aplicações OpenMP para Redução do Consumo de Energia

2018 ◽  
Author(s):  
Gabriel B. Moro ◽  
Lucas Mello Schnorr
Keyword(s):  
Operating System ◽  
Energy Consumption ◽  
High Performance Computing ◽  
High Performance ◽  
Previous Analysis ◽  
Computer Systems ◽  
Specific Knowledge ◽  
Reduce Energy Consumption ◽  
Performance Computing ◽  
Processor Frequency

Performance and energy consumption are fundamental requirements in computer systems. A very frequent challenge is to combine both aspects, searching to keep the high performance computing while consuming less energy. There are a lot of techniques to reduce energy consumption, but in general, they use modern processors resources or they require specific knowledge about application and platform used. In this paper, we propose a library that dynamically changes the processor frequency according to the application's computing behavior, using a previous analysis of its Memory-Bound regions. The results show a reduction of 1,89% in energy consumption for Lulesh application with an increase of 0,09% in runtime when we compare our approach against the governor Ondemand of the Linux Operating System.

scholarly journals Are GPUs Non-Green Computing Devices?

2018 ◽  
Vol 18 (02) ◽  
pp. e17
Author(s):  
Martín Pi Puig ◽  
Laura De Giusti ◽  
Marcelo Naiouf
Keyword(s):  
Energy Consumption ◽  
High Performance Computing ◽  
Execution Time ◽  
High Performance ◽  
Average Energy ◽  
Related Research ◽  
Instant Power ◽  
Benchmark Suite ◽  
Average Energy Consumption ◽  
Performance Computing

With energy consumption emerging as one of the biggest issues in the development of HPC (High Performance Computing) applications, the importance of detailed power-related research works becomes a priority. In the last years, GPU coprocessors have been increasingly used to accelerate many of these high-priced systems even though they are embedding millions of transistors on their chips delivering an immediate increase on power consumption necessities. This paper analyzes a set of applications from the Rodinia benchmark suite in terms of CPU and GPU performance and energy consumption. Specifically, it compares single-threaded and multi-threaded CPU versions with GPU implementations, and characterize the execution time, true instant power and average energy consumption to test the idea that GPUs are power-hungry computing devices.

scholarly journals Action: A New Metric for Evaluating the Energy Efficiency on High Performance Computing Platforms (ranked on Green500 List)

2022 ◽  
Vol 21 ◽  
pp. 23-30
Author(s):  
E. M. Karanikolaou ◽  
M. P. Bekakos
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Comparative Study ◽  
High Performance Computing ◽  
High Performance ◽  
Ranking Systems ◽  
Performance Per Watt ◽  
Computing Platforms ◽  
Performance Computing

The need for new and more reliable metrics is always in demand. In this paper, a new metric is proposed for the evaluation of high performance computing platforms in conjunction with their energy consumption. The aim of the new metric is to reliably compare different HPC systems concerning their energy efficiency. The metric provides a mean to rank supercomputers of similar capabilities, avoiding the misleading results of metrics like performance-per-watt, currently used for ranking systems, as in the Green500 list, where systems with totally different sizes and capabilities are ranked consecutively. An example of this misuse for two adjacent systems in the Green500 list, is discussed. A comparative study for the energy efficiency of three high performance computing platforms, with different architectures, using the proposed metric is presented.

E-BaTS: Energy-Aware Scheduling for Bag-of-Task Applications in HPC Clusters

2015 ◽  
Vol 25 (03) ◽  
pp. 1541005
Author(s):  
Alexandra Vintila Filip ◽  
Ana-Maria Oprescu ◽  
Stefania Costache ◽  
Thilo Kielmann
Keyword(s):  
Energy Consumption ◽  
High Performance Computing ◽  
High Performance ◽  
Terms Of Trade ◽  
Exhaustive Search ◽  
Energy Aware ◽  
Trade Offs ◽  
Energy Aware Scheduling ◽  
And Performance ◽  
Performance Computing

High-Performance Computing (HPC) systems consume large amounts of energy. As the energy consumption predictions for HPC show increasing numbers, it is important to make users aware of the energy spent for the execution of their applications. Drawing from our experience with exposing cost and performance in public clouds, in this paper we present a generic mechanism to compute fast and accurate estimates for the tradeoffs between the performance (expressed as makespan) and the energy consumption of applications running on HPC clusters. We validate our approach by implementing it in a prototype, called E-BaTS and validating it with a wide variety of HPC bags-of-tasks. Our experiments show that E-BaTS produces conservative estimates with errors below 5%, while requiring at most 12% of the energy and time of an exhaustive search for providing configurations close to the optimal ones in terms of trade-offs between energy consumption and makespan.

Energy conscious scheduling with controlled threshold for precedence-constrained tasks on heterogeneous clusters

2016 ◽  
Vol 25 (3) ◽  
pp. 276-286 ◽  
Author(s):  
Nirmal Kaur ◽  
Savina Bansal ◽  
Rakesh Kumar Bansal
Keyword(s):  
Energy Consumption ◽  
High Performance Computing ◽  
High Performance ◽  
Scheduling Algorithm ◽  
Voltage Scaling ◽  
Dynamic Voltage Scaling ◽  
Heterogeneous Cluster ◽  
Dynamic Voltage ◽  
Computing Platforms ◽  
Performance Computing

Efficient task scheduling of concurrent tasks is one of the primary requirements for high-performance computing platforms. Recent advances in high-performance computing have resulted in widespread performance improvement though at the cost of increased energy consumption and other system resources. In this article, an energy conscious scheduling algorithm with controlled threshold has been developed for precedence-constrained tasks on heterogeneous cluster, which aims at lower makespan along with reduced energy consumption. Energy conscious scheduling with controlled threshold algorithm combines the benefits of dynamic voltage scaling with controlled threshold-based duplication strategy to achieve its objectives. Effectiveness of the proposed algorithm is analyzed in comparison with available duplication- and non-duplication-based scheduling algorithms (with and without dynamic voltage scaling approach) to ascertain its performance and energy consumption. Exhaustive simulation results on random and real-world graphs demonstrate that energy conscious scheduling algorithm with controlled threshold has the potential to reduce energy consumption and makespan.

scholarly journals Computational physics Using Python: Implementing Maxwell Equation for Circle Polarization

2011 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
M Madlazim ◽  
Bagus Jaya Santosa
Keyword(s):  
Operating System ◽  
High Performance Computing ◽  
Program Development ◽  
Maxwell Equation ◽  
Computer Algebra ◽  
High Performance ◽  
Computational Physics ◽  
On Line ◽  
Performance Computing ◽  
The Web

Python is a relatively new computing language, created by Guido van Rossum [A.S. Tanenbaum, R. van Renesse, H. van Staveren, G.J. Sharp, S.J. Mullender, A.J. Jansen, G. van Rossum, Experiences with the Amoeba distributed operating system, Communications of the ACM 33 (1990) 46–63; also on-line at http://www.cs.vu.nl/pub/amoeba/, which is particularly suitable for teaching a course in computational physics. There are two questions to be considered: (i) For whom is the course intended? (ii) What are the criteria for a suitable language, and why choose Python? The criteria include the nature of the application. High performance computing requires a compiled language, e.g., FORTRAN. For some applications a computer algebra, e.g., Maple, is appropriate. For teaching, and for program development, an interpreted language has considerable advantages: Python appears particularly suitable. Python‟s attractions include (i) its system of modules which makes it easy to extend, (ii) its excellent graphics (VPython module), (iii) its excellent on line documentation, (iv) it is free and can be downloaded from the web. Python and VPython will be described briefly, and some programs demonstrated numerical and animation of some phenomenal physics. In this article, we gave solution of circle polarization by solving Maxwell equation.

scholarly journals Representing Increasing Virtual Machine Security Strategy in Cloud Computing Computations

2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Mohammad Shirzadi
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Load Balancing ◽  
High Performance Computing ◽  
Virtual Machine ◽  
Lower Energy ◽  
High Performance ◽  
Security Strategy ◽  
Cloud Processing ◽  
Performance Computing

This paper proposes algorithm for Increasing Virtual Machine Security Strategy in Cloud Computing computations. Imbalance between load and energy has been one of the disadvantages of old methods in providing server and hosting, so that if two virtual severs be active on a host and energy load be more on a host, it would allocated the energy of other hosts (virtual host) to itself to stay steady and this option usually leads to hardware overflow errors and users dissatisfaction. This problem has been removed in methods based on cloud processing but not perfectly, therefore,providing an algorithm not only will implement a suitable security background but also it will suitably divide energy consumption and load balancing among virtual severs. The proposed algorithm is compared with several previously proposed Security Strategy including SC-PSSF, PSSF and DEEAC. Comparisons show that the proposed method offers high performance computing, efficiency and consumes lower energy in the network.

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