A Platform for Evaluating Low-Energy Multiprocessors on Cots Devices
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Approaches in Green Computing
Special Issue - 2015 International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 NSRCL-2015 Conference Proceedings Approaches in Green Computing Reena Thomas Fedrina J Manjaly 3 rd BCA, Department of Computer Science 3 rd BCA , Department of Computer Science Carmel College Carmel College Mala, Thrissur Mala, Thrissur Abstract— In a 2008 article San Murugesan defined green computing as "the study and practice of designing, manufacturing, using, and disposing of computers, servers, and associated subsystems — such as monitors, printers, storage devices, and networking and communications systems — efficiently and effectively with minimal or no impact on the environment."Murugesan lays out four paths along which he believes the environmental effects of computing should be addressed:Green use, green disposal, green design, and green manufacturing. Green computing can also develop solutions that offer benefits by "aligning all IT processes and practices with the core principles of sustainability, which are to reduce, reuse, and recycle; and finding innovative ways to use IT in business processes to deliver sustainability benefits across the Figure 1: Green Computing Migration Framework enterprise and beyond". I. INTRODUCTION II. APPROACHES In 1992, the U.S. Environmental Protection Agency A. Product longevity launched Energy Star, a voluntary labeling program that is Gartner maintains that the PC manufacturing process designed to promote and recognize energy-efficiency in accounts for 70% of the natural resources used in the life monitors, climate control equipment, and other cycle of a PC. More recently, Fujitsu released a Life Cycle technologies. This resulted in the widespread adoption of Assessment (LCA) of a desktop that show that sleep mode among consumer electronics. -
Low-Power Computing
LOW-POWER COMPUTING Safa Alsalman a, Raihan ur Rasool b, Rizwan Mian c a King Faisal University, Alhsa, Saudi Arabia b Victoria University, Melbourne, Australia c Data++, Toronto, Canada Corresponding email: [email protected] Abstract With the abundance of mobile electronics, demand for Low-Power Computing is pressing more than ever. Achieving a reduction in power consumption requires gigantic efforts from electrical and electronic engineers, computer scientists and software developers. During the past decade, various techniques and methodologies for designing low-power solutions have been proposed. These methods are aimed at small mobile devices as well as large datacenters. There are techniques that consider design paradigms and techniques including run-time issues. This paper summarizes the main approaches adopted by the IT community to promote Low-power computing. Keywords: Computing, Energy-efficient, Low power, Power-efficiency. Introduction In the past two decades, technology has evolved rapidly affecting every aspect of our daily lives. The fact that we study, work, communicate and entertain ourselves using all different types of devices and gadgets is an evidence that technology is a revolutionary event in the human history. The technology is here to stay but with big responsibilities comes bigger challenges. As digital devices shrink in size and become more portable, power consumption and energy efficiency become a critical issue. On one end, circuits designed for portable devices must target increasing battery life. On the other end, the more complex high-end circuits available at data centers have to consider power costs, cooling requirements, and reliability issues. Low-power computing is the field dedicated to the design and manufacturing of low-power consumption circuits, programming power-aware software and applying techniques for power-efficiency [1][2]. -
Ernesto Sanchez, Giovanni Squillero, and Alberto Tonda Industrial
Ernesto Sanchez, Giovanni Squillero, and Alberto Tonda Industrial Applications of Evolutionary Algorithms Intelligent Systems Reference Library, Volume 34 Editors-in-Chief Prof. Janusz Kacprzyk Prof. Lakhmi C. Jain Systems Research Institute University of South Australia Polish Academy of Sciences Adelaide ul. Newelska 6 Mawson Lakes Campus 01-447 Warsaw South Australia 5095 Poland Australia E-mail: [email protected] E-mail: [email protected] Further volumes of this series can be found on our homepage: springer.com Vol. 10. Andreas Tolk and Lakhmi C. Jain Vol. 23. Dawn E. Holmes and Lakhmi C. Jain (Eds.) Intelligence-Based Systems Engineering, 2011 Data Mining: Foundations and Intelligent Paradigms, 2011 ISBN 978-3-642-17930-3 ISBN 978-3-642-23165-0 Vol. 11. Samuli Niiranen and Andre Ribeiro (Eds.) Vol. 24. Dawn E. Holmes and Lakhmi C. Jain (Eds.) Information Processing and Biological Systems, 2011 Data Mining: Foundations and Intelligent Paradigms, 2011 ISBN 978-3-642-19620-1 ISBN 978-3-642-23240-4 Vol. 12. Florin Gorunescu Vol. 25. Dawn E. Holmes and Lakhmi C. Jain (Eds.) Data Mining, 2011 Data Mining: Foundations and Intelligent Paradigms, 2011 ISBN 978-3-642-19720-8 ISBN 978-3-642-23150-6 Vol. 13. Witold Pedrycz and Shyi-Ming Chen (Eds.) Granular Computing and Intelligent Systems, 2011 Vol. 26. Tauseef Gulrez and Aboul Ella Hassanien (Eds.) ISBN 978-3-642-19819-9 Advances in Robotics and Virtual Reality, 2011 ISBN 978-3-642-23362-3 Vol. 14. George A. Anastassiou and Oktay Duman Towards Intelligent Modeling: Statistical Approximation Vol. 27. Cristina Urdiales Theory, 2011 Collaborative Assistive Robot for Mobility Enhancement ISBN 978-3-642-19825-0 (CARMEN), 2011 ISBN 978-3-642-24901-3 Vol. -
Energy Efficient Scheduling of Parallel Tasks on Multiprocessor Computers
J Supercomput (2012) 60:223–247 DOI 10.1007/s11227-010-0416-0 Energy efficient scheduling of parallel tasks on multiprocessor computers Keqin Li Published online: 12 March 2010 © Springer Science+Business Media, LLC 2010 Abstract In this paper, scheduling parallel tasks on multiprocessor computers with dynamically variable voltage and speed are addressed as combinatorial optimiza- tion problems. Two problems are defined, namely, minimizing schedule length with energy consumption constraint and minimizing energy consumption with schedule length constraint. The first problem has applications in general multiprocessor and multicore processor computing systems where energy consumption is an important concern and in mobile computers where energy conservation is a main concern. The second problem has applications in real-time multiprocessing systems and environ- ments where timing constraint is a major requirement. Our scheduling problems are defined such that the energy-delay product is optimized by fixing one factor and minimizing the other. It is noticed that power-aware scheduling of parallel tasks has rarely been discussed before. Our investigation in this paper makes some initial at- tempt to energy-efficient scheduling of parallel tasks on multiprocessor computers with dynamic voltage and speed. Our scheduling problems contain three nontriv- ial subproblems, namely, system partitioning, task scheduling, and power supply- ing. Each subproblem should be solved efficiently, so that heuristic algorithms with overall good performance can be developed. The above decomposition of our op- timization problems into three subproblems makes design and analysis of heuristic algorithms tractable. A unique feature of our work is to compare the performance of our algorithms with optimal solutions analytically and validate our results experimen- tally, not to compare the performance of heuristic algorithms among themselves only experimentally. -
Comptia Fc0-Gr1 Exam Questions & Answers
COMPTIA FC0-GR1 EXAM QUESTIONS & ANSWERS Number : FC0-GR1 Passing Score : 800 Time Limit : 120 min File Version : 31.4 http://www.gratisexam.com/ COMPTIA FC0-GR1 EXAM QUESTIONS & ANSWERS Exam Name: CompTIA Strata Green IT Exam Visualexams QUESTION 1 A small business currently has a server room with a large cooling system that is appropriate for its size. The location of the server room is the top level of a building. The server room is filled with incandescent lighting that needs to continuously stay on for security purposes. Which of the following would be the MOST cost-effective way for the company to reduce the server rooms energy footprint? A. Replace all incandescent lighting with energy saving neon lighting. B. Set an auto-shutoff policy for all the lights in the room to reduce energy consumption after hours. C. Replace all incandescent lighting with energy saving fluorescent lighting. D. Consolidate server systems into a lower number of racks, centralizing airflow and cooling in the room. Correct Answer: C Section: (none) Explanation Explanation/Reference: QUESTION 2 Which of the following methods effectively removes data from a hard drive prior to disposal? (Select TWO). A. Use the remove hardware OS feature B. Formatting the hard drive C. Physical destruction D. Degauss the drive E. Overwriting data with 1s and 0s by utilizing software Correct Answer: CE Section: (none) Explanation Explanation/Reference: QUESTION 3 Which of the following terms is used when printing data on both the front and the back of paper? A. Scaling B. Copying C. Duplex D. Simplex Correct Answer: C Section: (none) Explanation Explanation/Reference: QUESTION 4 A user reports that their cell phone battery is dead and cannot hold a charge. -
Hardware Monitoring
HARDWARE MONITORING SECTION 7 HARDWARE MONITORING Walt Kester INTRODUCTION Today's computers require that hardware as well as software operate properly, in spite of the many things that can cause a system crash or lockup. The purpose of hardware monitoring is to monitor the critical items in a computing system and take corrective action should problems occur. Microprocessor supply voltage and temperature are two critical parameters. If the supply voltage drops below a specified minimum level, further operations should be halted until the voltage returns to acceptable levels. In some cases, it is desirable to reset the microprocessor under "brownout" conditions. It is also common practice to reset the microprocessor on power-up or power-down. Switching to a battery backup may be required if the supply voltage is low. Under low voltage conditions it is mandatory to inhibit the microprocessor from writing to external CMOS memory by inhibiting the Chip Enable signal to the external memory. Many microprocessors can be programmed to periodically output a "watchdog" signal. Monitoring this signal gives an indication that the processor and its software are functioning properly and that the processor is not stuck in an endless loop. The need for hardware monitoring has resulted in a number of ICs, traditionally called "microprocessor supervisory products," which perform some or all of the above functions. These devices range from simple manual reset generators (with debouncing) to complete microcontroller-based monitoring sub-systems with on-chip temperature sensors and ADCs. The ADM8691-series (see Figures 7.1 and 7.2) are examples of traditional microprocessor supervisory circuits. -
Rog Strix Z390-E Gaming
ROG STRIX Z390-E GAMING BIOS Manual Motherboard E14965 First Edition November 2018 Copyright© 2018 ASUSTeK COMPUTER INC. All Rights Reserved. No part of this manual, including the products and software described in it, may be reproduced, transmitted, transcribed, stored in a retrieval system, or translated into any language in any form or by any means, except documentation kept by the purchaser for backup purposes, without the express written permission of ASUSTeK COMPUTER INC. (“ASUS”). Product warranty or service will not be extended if: (1) the product is repaired, modified or altered, unless such repair, modification of alteration is authorized in writing by ASUS; or (2) the serial number of the product is defaced or missing. ASUS PROVIDES THIS MANUAL “AS IS” WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE IMPLIED WARRANTIES OR CONDITIONS OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. IN NO EVENT SHALL ASUS, ITS DIRECTORS, OFFICERS, EMPLOYEES OR AGENTS BE LIABLE FOR ANY INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES (INCLUDING DAMAGES FOR LOSS OF PROFITS, LOSS OF BUSINESS, LOSS OF USE OR DATA, INTERRUPTION OF BUSINESS AND THE LIKE), EVEN IF ASUS HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES ARISING FROM ANY DEFECT OR ERROR IN THIS MANUAL OR PRODUCT. SPECIFICATIONS AND INFORMATION CONTAINED IN THIS MANUAL ARE FURNISHED FOR INFORMATIONAL USE ONLY, AND ARE SUBJECT TO CHANGE AT ANY TIME WITHOUT NOTICE, AND SHOULD NOT BE CONSTRUED AS A COMMITMENT BY ASUS. ASUS ASSUMES NO RESPONSIBILITY OR LIABILITY FOR ANY ERRORS OR INACCURACIES THAT MAY APPEAR IN THIS MANUAL, INCLUDING THE PRODUCTS AND SOFTWARE DESCRIBED IN IT. -
AMD's Early Processor Lines, up to the Hammer Family (Families K8
AMD’s early processor lines, up to the Hammer Family (Families K8 - K10.5h) Dezső Sima October 2018 (Ver. 1.1) Sima Dezső, 2018 AMD’s early processor lines, up to the Hammer Family (Families K8 - K10.5h) • 1. Introduction to AMD’s processor families • 2. AMD’s 32-bit x86 families • 3. Migration of 32-bit ISAs and microarchitectures to 64-bit • 4. Overview of AMD’s K8 – K10.5 (Hammer-based) families • 5. The K8 (Hammer) family • 6. The K10 Barcelona family • 7. The K10.5 Shanghai family • 8. The K10.5 Istambul family • 9. The K10.5-based Magny-Course/Lisbon family • 10. References 1. Introduction to AMD’s processor families 1. Introduction to AMD’s processor families (1) 1. Introduction to AMD’s processor families AMD’s early x86 processor history [1] AMD’s own processors Second sourced processors 1. Introduction to AMD’s processor families (2) Evolution of AMD’s early processors [2] 1. Introduction to AMD’s processor families (3) Historical remarks 1) Beyond x86 processors AMD also designed and marketed two embedded processor families; • the 2900 family of bipolar, 4-bit slice microprocessors (1975-?) used in a number of processors, such as particular DEC 11 family models, and • the 29000 family (29K family) of CMOS, 32-bit embedded microcontrollers (1987-95). In late 1995 AMD cancelled their 29K family development and transferred the related design team to the firm’s K5 effort, in order to focus on x86 processors [3]. 2) Initially, AMD designed the Am386/486 processors that were clones of Intel’s processors. -
ECE 571 – Advanced Microprocessor-Based Design Lecture 28
ECE 571 { Advanced Microprocessor-Based Design Lecture 28 Vince Weaver http://web.eece.maine.edu/~vweaver [email protected] 9 November 2020 Announcements • HW#9 will be posted, read AMD Zen 3 Article • Remember, no class on Wednesday 1 When can we scale CPU down? • System idle • System memory or I/O bound • Poor multi-threaded code (spinning in spin locks) • Thermal emergency • User preference (want fans to run less) 2 Non-CPU power saving • RAM • GPU • Ethernet / Wireless • Disk • PCI • USB 3 GPU power saving • From Intel lesswatts.org ◦ Framebuffer Compression ◦ Backlight Control ◦ Minimized Vertical Blank Interrupts ◦ Auto Display Brightness • from LWN: http://lwn.net/Articles/318727/ ◦ Clock gating or reclocking ◦ Fewer memory accesses: compression. Simpler background image, lower power 4 ◦ Moving mouse: 15W. Blinking cursor: 2W ◦ Powering off unneeded output port, 0.5W ◦ LVDS (low-voltage digital signaling) interface, lower refresh rate, 0.5W (start getting artifacts) 5 More LCD • When LCD not powered, not twisted, light comes through • Active matrix display, transistor and capacitor at each pixel (which can often have 255 levels of brightness). Needs to be refreshed like memory. One row at a time usually. 6 Ethernet • PHY (transmitter) can take several watts • WOL can draw power when system is turned off • Gigabit draw 2W-4W more than 100Megabit 10 Gigabit 10-20W more than 100Megabit • Takes up to 2 seconds to re-negotiate speeds • Green Ethernet IEEE 802.3az 7 WLAN • power-save poll { go to sleep, have server queue up packets. latency • Auto association { how aggressively it searches for access points • RFKill switch • Unnecessary Bluetooth 8 Disks • SATA Aggressive Link Power Management { shuts down when no I/O for a while, save up to 1.5W • Filesystem atime • Disk power management (spin down) (lifetime of drive) • VM writeback { less power if queue up, but power failure potentially worse 9 Soundcards • Low-power mode 10 USB • autosuspend. -
Single-Phase PWM Controller for CPU / GPU Core Power Supply General Description Features
RT8152E/F Single-Phase PWM Controller for CPU / GPU Core Power Supply General Description Features The RT8152E/F is a single phase PWM controller with l Single Phase PWM Controller with Integrated integrated MOSFET drivers. Moreover, it is compliant with MOSFET Driver Intel IMVP6.5 Voltage Regulator Specification to fulfill its l Low-Gain Compensator with CCRCOT Topology mobile CPU core and Render core voltage regulator (Constant Current Ripple Constant On Time) requirements. The RT8152E/F adopts G-NAVP (Green- l 7-bit DAC Native AVP), which is a Richtek's proprietary topology l 0.8% DAC Accuracy derived from finite DC gain compensator constant on-time l 1.5% or 11.5mV System Accuracy mode, making it an easy setting PWM controller meeting l Fixed VBOOT (For CPU Core Only) all Intel AVP (Active Voltage Positioning) mobile CPU/ l Differential Remote Voltage Sensing Render requirements. The output voltage of the RT8152E/ l G-NAVP Topology (Green-Native AVP) F is set by 7-bit VID code. The built-in high accuracy DAC l Programmable Output Transition Slew Rate Control converts the VID code ranging from 0V to 1.5V with l System Thermal Compensated AVP 12.5mV per step. The system accuracy of the controller l Ringing Free Mode at Light Load Condition can reach 1.5%. The part supports VID on-the-fly and mode l Fast Transient Response change on-the-fly functions that are fully compliant with l IMVP6.5 Compatible Power Management States IMVP6.5 specification. It operates in single phase and l Power Good diode emulation modes. -
Redalyc.Optimization of Operating Systems Towards Green Computing
International Journal of Combinatorial Optimization Problems and Informatics E-ISSN: 2007-1558 [email protected] International Journal of Combinatorial Optimization Problems and Informatics México Appasami, G; Suresh Joseph, K Optimization of Operating Systems towards Green Computing International Journal of Combinatorial Optimization Problems and Informatics, vol. 2, núm. 3, septiembre-diciembre, 2011, pp. 39-51 International Journal of Combinatorial Optimization Problems and Informatics Morelos, México Available in: http://www.redalyc.org/articulo.oa?id=265219635005 How to cite Complete issue Scientific Information System More information about this article Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Journal's homepage in redalyc.org Non-profit academic project, developed under the open access initiative © International Journal of Combinatorial Optimization Problems and Informatics, Vol. 2, No. 3, Sep-Dec 2011, pp. 39-51, ISSN: 2007-1558. Optimization of Operating Systems towards Green Computing Appasami.G Assistant Professor, Department of CSE, Dr. Pauls Engineering College, Affiliated to Anna University – Chennai, Villupuram, Tamilnadu, India E-mail: [email protected] Suresh Joseph.K Assistant Professor, Department of computer science, Pondicherry University, Pondicherry, India E-mail: [email protected] Abstract. Green Computing is one of the emerging computing technology in the field of computer science engineering and technology to provide Green Information Technology (Green IT / GC). It is mainly used to protect environment, optimize energy consumption and keeps green environment. Green computing also refers to environmentally sustainable computing. In recent years, companies in the computer industry have come to realize that going green is in their best interest, both in terms of public relations and reduced costs. -
Analysis of the Power Consumption of a Multimedia Server Under Different DVFS Policies
Analysis of the Power Consumption of a Multimedia Server under Different DVFS Policies Waltenegus Dargie Chair for Computer Networks Faculty of Computer Science Technical University of Dresden 01062 Dresden, Germany Email: [email protected] Abstract—Dynamic voltage and frequency scaling (DVFS) has [19]. Hence, reducing the voltage of the processor or memory been a useful power management strategy in embedded systems, by one fold will reduce the energy consumption of these mobile devices, and wireless sensor networks. Recently, it has subsystems by two fold. Likewise, reducing the operation fre- also been proposed for servers and data centers in conjunction with service consolidation and optimal resource-pool sizing. In quency will linearly reduce the energy consumption. There is, this paper, we experimentally investigate the scope and usefulness of course, a corresponding penalty in performance, but many of DVFS in a server environment. We set up a multimedia server argue that often Internet-based servers are over provisioned; which will be used in two different scenarios. In the first scenario, providing services at 30 to 70% of thier full capacity much the server will host requests to download video files of known and of the time [1] [14]. Consequntly, by operating these servers available formats. In the second scenario, videos of unavailable formats can be accepted; in which case the server employs a at lower frequencies (as well as voltages) when the workload transcoder to convert between AVI, MPEG and SLV formats is less time critical, it is possible to minimize the idle state before the videos are downloaded. The workload we generate has power consumption, which accounts for more than 50% of the a uniform arrival rate and an exponentially distributed video size.