NDLI: Energy transparency from hardware to software

Content Provider	IEEE Xplore Digital Library
Author	Eder, K.
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. Sci., Univ. of Bristol, Bristol, UK (Eder, K.)
Abstract	From mobile devices to data centres, energy usage in computing continues to rise and is now a significant part of global energy consumption. Increasing the energy efficiency of computation is a major concern in electronic system engineering and high on the research agenda worldwide. While hardware can be designed to save a modest amount of energy, the potential for savings are far greater at the higher levels of abstraction in the system stack. The greatest savings are expected from energy consumption-aware software. This is because, although energy is consumed by the hardware executing computations, the control over the computation ultimately lies within the software, algorithms and data, i.e. the applications running on the hardware. Experts from Intel [1] expect software that takes full control of the energy-saving features provided by hardware can save three to five times of what conventional software is achieving. Moreover, algorithm selection is critically important - not only does the algorithm need to be the most suitable for solving the problem; it also needs to be a good fit to the hardware [2]. The challenge of energy-efficient computing, therefore, requires understanding the entire system stack, from algorithms and data, down to the computational hardware. Over the last decades, however, software engineering has been moved away from the operation of the hardware through the introduction of several layers of abstraction. While these have many benefits, including portability, increased programmer productivity, and software reuse across hardware platforms, the clear drawback is that many software engineers are now "blissfully unaware" of how algorithms and data, and their respective encoding, influence the energy consumption of a computation when executed on hardware.
Sponsorship	IEEE
Starting Page	1
Ending Page	2
File Size	219436
Page Count	2
File Format	PDF
ISBN	9781479933723
DOI	10.1109/E3S.2013.6705855
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision support systems Hardware Software
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

ESTEVAL: a decision support tool for hardware/software system design

The road to energy-efficient systems: from hardware-driven to software-defined

Knowledge-based decision support in business: Issues and a solution

Moving Network Protection from Software to Hardware: An Energy Efficiency Analysis

A decision support system for fuzzy scheduling of software projects

A decision support system to refactor class cycles

Towards providing decision support for COTS selection

Enhancing the group decision making process: an intelligent systems architecture

An Intelligent Decision Support System Based on MAS for Product Development

Energy transparency from hardware to software

Similar Documents

ESTEVAL: a decision support tool for hardware/software system design

The road to energy-efficient systems: from hardware-driven to software-defined

Knowledge-based decision support in business: Issues and a solution

Moving Network Protection from Software to Hardware: An Energy Efficiency Analysis

A decision support system for fuzzy scheduling of software projects

A decision support system to refactor class cycles

Towards providing decision support for COTS selection

Enhancing the group decision making process: an intelligent systems architecture

An Intelligent Decision Support System Based on MAS for Product Development

Energy transparency from hardware to software