Advanced Techniques for Power, Energy, and Thermal Management for Clustered Manycores
(Sprache: Englisch)
This book focuses on two of the most relevant problems related to power management on multicore and manycore systems. Specifically, one part of the book focuses on maximizing/optimizing computational performance under power or thermal constraints, while...
Voraussichtlich lieferbar in 3 Tag(en)
versandkostenfrei
Buch (Kartoniert)
Fr. 165.50
inkl. MwSt.
- Kreditkarte, Paypal, Rechnungskauf
- 30 Tage Widerrufsrecht
Produktdetails
Produktinformationen zu „Advanced Techniques for Power, Energy, and Thermal Management for Clustered Manycores “
Klappentext zu „Advanced Techniques for Power, Energy, and Thermal Management for Clustered Manycores “
This book focuses on two of the most relevant problems related to power management on multicore and manycore systems. Specifically, one part of the book focuses on maximizing/optimizing computational performance under power or thermal constraints, while another part focuses on minimizing energy consumption under performance (or real-time) constraints.Inhaltsverzeichnis zu „Advanced Techniques for Power, Energy, and Thermal Management for Clustered Manycores “
Introduction.- Background and Related Work.- System Model.- Experimental Framework.- Thermal Safe Power (TSP).- Transient and Peak Temperature Computation based on Matrix Exponentials (MatEx).- Selective Boosting for Multicore Systems (seBoost).- Energy and Peak Power Efficiency Analysis for Simple Approximation Schemes.- Energy-Efficient Task-to-core Assignment for Homogeneous Clustered Manycores.- Energy-Efficient Task-to-core Assignment for Heterogeneous Clustered Manycores.- Conclusions.Autoren-Porträt von Santiago Pagani, Jian-Jia Chen, Muhammad Shafique, Jörg Henkel
Santiago Pagani is currently a Staff Firmware Engineer & Team Lead at ARM Ltd. (Cambridge, united Kingdom), where he runs an Agile firmware development team working on key components for the next generation Mali GPU products. He received his Diploma in Electronics Engineering from the National Technological University (UTN), Argentina, in 2010. He received his Ph.D. in Computer Science from the Karlsruhe Institute of Technology (KIT) with "Summa cum Laude" in 2016. From 2003 until 2012, he worked as a hardware and software developer in the industry sector for several companies in Argentina, including 2 years as a technical group leader. From 2012 until 2017, he worked as a research scientist (doctoral researcher and later post-doc) as part of the research staff at KIT. He received two Best Paper Awards (IEEE RTCSA in 2013 and IEEE/ACM CODES+ISSS in 2014), one Feature Paper of the Month (IEEE Transactions on Computers in 2017), and three HiPEAC Paper Awards. He received the 2017 ACM SIGBED "Paul Caspi Memorial Dissertation Award" in recognition of an outstanding Ph.D. dissertation. His interests include embedded systems, real-time systems, energy-efficient scheduling, temperature-aware scheduling, and power-aware designs.Jian-Jia Chen is a Professor of Computer Science at TU Dortmund, Germany. Prior to his current position, he was with the Department of Informatics at Karlsruhe Institute of Technology (KIT) in Germany as a Junior Professor for Institute for Process Control and Robotics (IPR). He received his B.S. degree from the Department of Chemistry at National Taiwan University 2001. He obtained his Ph.D degree in June 2006 with Ph.D Dissertation "Energy-Efficient Scheduling for Real-Time Tasks in Uniprocessor and Homogeneous Multiprocessor Systems." Between Jan. 2008 and April 2010, he was a postdoc researcher at Computer Engineering and Networks Laboratory (TIK) in Swiss Federal Institute of Technology (ETH) Zurich, Switzerland.
... mehr
Dr. Chen's research interests include real-time systems, embedded systems, energy-efficient and power-aware designs, reliability system designs, and design automation.
He has published more than 175 research papers in prestigious journals and conferences in the areas of real-time embedded systems, lower-power system designs, and distributed computing. He has served as TPC member in several international conferences in real-time and embedded systems such as (RTSS, RTAS, RTCSA, DATE, ICCAD, etc.), and associate editors and guest editors in international journals.
Muhammad Shafique (M'11, SM'16) is a full professor at the Institute of Computer Engineering, Department of Informatics, Vienna University of Technology (TU Wien), Austria. He is directing the Group on Computer Architecture and Robust, Energy-Efficient Technologies (CARE-Tech). He was a senior research group leader at Karlsruhe Institute of Technology (KIT), Germany for more than 5 years. He received his Ph.D. in Computer Science from KIT in January 2011. Before, he was with Streaming Networks Pvt. Ltd. where he was involved in research and development of advanced video coding systems for several years.
His research interests are in computer architecture, power- and energy-efficient systems, robust computing covering various aspects of dependability and fault-tolerance, hardware security, emerging computing trends like neuromorphic and approximate computing, neurosciences, emerging technologies and nanosystems, self-learning and intelligent/cognitive systems, FPGAs, MPSoCs, and embedded systems. His research has a special focus on cross-layer analysis, modeling, design, and optimization of computing and memory systems covering various layers of the hardware and software stacks, as well as their integration in application use cases from Internet-of-Things (IoT), Cyber-Physical Systems (CPS), and ICT for Development (ICT4D) domains.
Dr. Shafique received th
He has published more than 175 research papers in prestigious journals and conferences in the areas of real-time embedded systems, lower-power system designs, and distributed computing. He has served as TPC member in several international conferences in real-time and embedded systems such as (RTSS, RTAS, RTCSA, DATE, ICCAD, etc.), and associate editors and guest editors in international journals.
Muhammad Shafique (M'11, SM'16) is a full professor at the Institute of Computer Engineering, Department of Informatics, Vienna University of Technology (TU Wien), Austria. He is directing the Group on Computer Architecture and Robust, Energy-Efficient Technologies (CARE-Tech). He was a senior research group leader at Karlsruhe Institute of Technology (KIT), Germany for more than 5 years. He received his Ph.D. in Computer Science from KIT in January 2011. Before, he was with Streaming Networks Pvt. Ltd. where he was involved in research and development of advanced video coding systems for several years.
His research interests are in computer architecture, power- and energy-efficient systems, robust computing covering various aspects of dependability and fault-tolerance, hardware security, emerging computing trends like neuromorphic and approximate computing, neurosciences, emerging technologies and nanosystems, self-learning and intelligent/cognitive systems, FPGAs, MPSoCs, and embedded systems. His research has a special focus on cross-layer analysis, modeling, design, and optimization of computing and memory systems covering various layers of the hardware and software stacks, as well as their integration in application use cases from Internet-of-Things (IoT), Cyber-Physical Systems (CPS), and ICT for Development (ICT4D) domains.
Dr. Shafique received th
... weniger
Bibliographische Angaben
- Autoren: Santiago Pagani , Jian-Jia Chen , Muhammad Shafique , Jörg Henkel
- 2019, Softcover reprint of the original 1st ed. 2018, 250 Seiten, 1 farbige Abbildungen, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3030084655
- ISBN-13: 9783030084653
Sprache:
Englisch
Kommentar zu "Advanced Techniques for Power, Energy, and Thermal Management for Clustered Manycores"
0 Gebrauchte Artikel zu „Advanced Techniques for Power, Energy, and Thermal Management for Clustered Manycores“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Advanced Techniques for Power, Energy, and Thermal Management for Clustered Manycores".
Kommentar verfassen