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TU Berlin

Inhalt des Dokuments

Gervin Thomas

Research

  • A Generic Implementation of a Quantified Predictor Applied to a DRAM Power-Saving Policy.

Publications

A Predictor-Based Power-Saving Policy for DRAM Memories
Citation key Thomas2012:mempred
Author Gervin Thomas and Karthik Chandrasekar and Benny Akesson and Ben Juurlink and Kees Goossens
Title of Book Digital System Design (DSD), 2012 15th Euromicro Conference on
Pages 882 -889
Year 2012
DOI 10.1109/DSD.2012.11
Month sept.
Note Print ISBN: 978-1-4673-2498-4
Abstract Reducing power/energy consumption is an important goal for all computer systems, from servers to battery-driven hand-held devices. To achieve this goal, the energy consumption of all system components needs to be reduced. One of the most power-hungry components is the off-chip DRAM, even when it is idle. DRAMs support different power-saving modes, such as self-refresh and power-down, but employing them every time the DRAM is idle, reduces performance due to their power-up latencies. The self-refresh mode offers large power savings, but incurs a long power-up latency. The power-down mode, on the other hand, has a shorter power-up latency, but provides lower power savings. In this paper, we propose and evaluate a novel power-saving policy that combines the best of both power-saving modes in order to achieve significant power reductions with a marginal performance penalty. To accomplish this, we use a history-based predictor to forecast the duration of an idle period and then either employ self-refresh, or power-down, or a combination of both power saving modes. Significant refinements are made to the predictor to maximize the energy savings and minimize the performance penalty. The presented policy is evaluated using several applications from the multimedia domain and the experimental results show that it reduces the total DRAM energy consumption between 68.8% and 79.9% at a negligible performance penalty between 0.3% and 2.2%.
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Teaching

Courses
Technische Grundlagen der Informatik 2 (Org + UE)
SS 2013
TechGI 2 TI: Digitale Systeme
SS 2013
AES Bachelor Projekt (PJ)
WS 2012/2013
Technische Grundlagen der Informatik 2 (Org + UE)

SS 2012

AES Bachelor Projekt (PJ)

WS 2011/2012

Technische Grundlagen der Informatik 2 (Org + UE)

SS 2011

Multicore Architectures (UE)

WS 2010/2011

Technische Grundlagen der Informatik 2 (Org + UE + PR)

SS 2010

Technische Grundlagen der Informatik 2 (Org + UE)

SS 2009

Rechnersysteme (UE)

WS 2008/2009

Technische Grundlagen der Informatik 2 (Org + UE)

SS 2008

Hardware-Praktikum für Technische Informatiker[Diplom](PR)

WS 2007/2008

July 23th, 2014: Gervin Thomas successfully completed his PhD defence.

Lupe

Dipl.-Ing. Gervin Thomas  successfully completed his PhD defence on Wednesday July 23rd, 2014. His thesis title was: "A Generic Implementation of a Quantified Predictor Applied to a DRAM Power-Saving Policy”. Gervin is the first to obtain his PhD in the AES group after Prof. Juurlink became the chair of the group in January 2010. Congratulation Dr. Thomas for your success and we wish you the best in your future.

 

 

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