2 Search Results for "Mossé, Daniel"

Document
DOI: 10.4230/DagRep.12.8.31
Power and Energy-Aware Computing on Heterogeneous Systems (PEACHES) (Dagstuhl Seminar 22341)

Authors: Kerstin I. Eder, Timo Hönig, Daniel Mosse, Max Plauth, and Maja Hanne Kirkeby

Published in: Dagstuhl Reports, Volume 12, Issue 8 (2023)

Abstract
This report documents the program and outcomes of the Dagstuhl Seminar 22341 - Power and Energy-Aware Computing on Heterogeneous Systems (PEACHES). The seminar was held on Aug 21 – Aug 26, 2022, and brought together 35 international experts from different domains across the entire system stack – from system designers to programmers and operators. We present the abstracts of 18 talks and 5 summaries of discussions and active sessions on the principal topic areas: Energy Transparency from Hardware to Software, Energy Optimisation and Management, Computing for Sustainability, Green Computing Hackathon, and Disruptive Paradigms.
Cite as

Kerstin I. Eder, Timo Hönig, Daniel Mosse, Max Plauth, and Maja Hanne Kirkeby. Power and Energy-Aware Computing on Heterogeneous Systems (PEACHES) (Dagstuhl Seminar 22341). In Dagstuhl Reports, Volume 12, Issue 8, pp. 31-59, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@Article{eder_et_al:DagRep.12.8.31,
  author =	{Eder, Kerstin I. and H\"{o}nig, Timo and Mosse, Daniel and Plauth, Max and Kirkeby, Maja Hanne},
  title =	{{Power and Energy-Aware Computing on Heterogeneous Systems (PEACHES) (Dagstuhl Seminar 22341)}},
  pages =	{31--59},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2023},
  volume =	{12},
  number =	{8},
  editor =	{Eder, Kerstin I. and H\"{o}nig, Timo and Mosse, Daniel and Plauth, Max and Kirkeby, Maja Hanne},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.12.8.31},
  URN =		{urn:nbn:de:0030-drops-177140},
  doi =		{10.4230/DagRep.12.8.31},
  annote =	{Keywords: energy, heterogeneous computing, operating systems, power, systems}
}
Document
DOI: 10.4230/DagSemProc.05141.5
Energy Conservation in Memory Hierarchies using Power-Aware Cached-DRAM

Authors: Daniel Mossé, Nevine AbouGhazaleh, Bruce Childers, and Rami Melhem

Published in: Dagstuhl Seminar Proceedings, Volume 5141, Power-aware Computing Systems (2005)

Abstract
Main memory has become one of the largest contributors to overall energy consumption and offers many opportunities for power/energy reduction. In this paper, we propose a new memory organization, called {em Power-Aware Cached-DRAM} (PA-CDRAM), that integrates a moderately sized cache directly into a memory device. We use this cache to turn a memory bank off immediately after a memory access to reduce energy consumption. While other work has used CDRAM to improve memory performance, we modify CDRAM to reduce energy consumption. In this paper, we describe our memory organization and describe the challenges for achieving low energy consumption and how to address them. We evaluate the approach using a cycle accurate processor and memory simulator. Our results show that PA-CDRAM achieves an average 28% improvement in the energy-delay product when compared to a time-out power management technique.
Cite as

Daniel Mossé, Nevine AbouGhazaleh, Bruce Childers, and Rami Melhem. Energy Conservation in Memory Hierarchies using Power-Aware Cached-DRAM. In Power-aware Computing Systems. Dagstuhl Seminar Proceedings, Volume 5141, pp. 1-10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2005)

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@InProceedings{mosse_et_al:DagSemProc.05141.5,
  author =	{Moss\'{e}, Daniel and AbouGhazaleh, Nevine and Childers, Bruce and Melhem, Rami},
  title =	{{Energy Conservation in Memory Hierarchies using Power-Aware Cached-DRAM}},
  booktitle =	{Power-aware Computing Systems},
  pages =	{1--10},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2005},
  volume =	{5141},
  editor =	{Luca Benini and Ulrich Kremer and Christian W. Probst and Peter Schelkens},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.05141.5},
  URN =		{urn:nbn:de:0030-drops-3049},
  doi =		{10.4230/DagSemProc.05141.5},
  annote =	{Keywords: Memory power management, cached DRAM}
}
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