Evaluation of power management strategies on actual PDF
Preview Evaluation of power management strategies on actual
Evaluation of power management strategies on actual multiprocessor platforms Jabran Khan Jadoon To cite this version: Jabran Khan Jadoon. Evaluation of power management strategies on actual multiprocessor plat- forms. Hardware Architecture [cs.AR]. Université Nice Sophia Antipolis, 2013. English. NNT: 2013NICE4012. tel-00838799 HAL Id: tel-00838799 https://theses.hal.science/tel-00838799 Submitted on 26 Jun 2013 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. UNIVERSITÉ DE NICE – SOPHIA ANTIPOLIS ÉCOLE DOCTORALE STIC SCIENCES ET TECHNOLOGIES DE L’INFORMATION ET DE LA COMMUNICATION THÈSE pour obtenir le titre de Docteur en Sciences de l’Université de Nice – Sophia Antipolis Mention : Électronique Présentée et soutenue par Jabran KHAN JADOON Evaluation of Power Management Strategies on Actual Multiprocessor Platforms Thèse dirigée par Cécile BELLEUDY Laboratoire LEAT, Université de Nice - Sophia Antipolis - CNRS Soutenue en 25 Mars 2013 Jury: Nathalie JULIEN Professeur, Université de Bretagne-Sud Rapporteurs François PECHEUX Maître de Conférence, Université Pierre et Marie Curie Smail NIAR Professeur, Université de Valenciennes et Hainaut-Cambrésis Examinateurs Michel Auguin Directeur de Recherche CNRS Cécile BELLEUDY Maître de Conférence, Université de Nice-Sophia Antipolis Sébastien BILAVARN Maître de Conférence, Université de Nice-Sophia Antipolis @khan ALL RIGHTS RESERVED UNIVERSITÉ DE NICE – SOPHIA ANTIPOLIS ÉCOLE DOCTORALE STIC SCIENCES ET TECHNOLOGIES DE L’INFORMATION ET DE LA COMMUNICATION THÈSE pour obtenir le titre de Docteur en Sciences de l’Université de Nice – Sophia Antipolis Mention : Électronique Présentée et soutenue par Jabran KHAN JADOON Evaluation of Power Management Strategies on Actual Multiprocessor Platforms Thèse dirigée par Cécile BELLEUDY Laboratoire LEAT, Université de Nice - Sophia Antipolis - CNRS Soutenue en 25 Mars 2013 Jury: Nathalie JULIEN Professeur, Université de Bretagne-Sud Rapporteurs François PECHEUX Maître de Conférence, Université Pierre et Marie Curie Smail NIAR Professeur, Université de Valenciennes et Hainaut-Cambrésis Examinateurs Michel Auguin Directeur de Recherche CNRS Cécile BELLEUDY Maître de Conférence, Université de Nice-Sophia Antipolis Sébastien BILAVARN Maître de Conférence, Université de Nice-Sophia Antipolis ABSTRACT The purpose of this study is to investigate how power management strategies can be efficiently exploited in actual platforms. Primarily, the challenges in multicore based embedded systems lies in managing the energy expenditure, determining the scheduling behavior and establishing methods to monitor power and energy, so as to meet the demands of the battery life and load requirements. The work presented in this dissertation is a study of low power-aware strategies in the practical world for single and multiprocessor platforms. The approach used for this study is based on representative multiprocessor platforms (real or virtual) to identify the most influential parameters, at hardware as well as application level, unlike many existing works in which these parameters are often underestimated or sometimes even ignored. The work analyzes and compares in detail various experimentations with different power policies based on Dynamic Voltage and Frequency Scaling (DVFS) and Dynamic Power Switching (DPS) techniques, and investigates the conditions at which these policies are effective in terms of energy savings. The results of these investigations reveal many interesting and notable conclusions that can serve as prerequisites for the efficient use of power management strategies. This work also shows the potential of advanced domain specific power strategies compared to real world available strategies that are general purpose based in their majority. Finally, some high level consumption models are derived from the different energy measurement results to let the estimation of power management benefits at early stages of a system development. Dedicated to my beloved mother, father, brothers and sisters and to my beloved wife Mahrukh. ACKNOWLEDGEMENTS One of the joys of completion is to look over the journey past and remember all the friends and family who have helped and supported me along this long but fulfilling road. Completion of my PhD required countless selfless acts of support, generosity, and time by people in my personal and academic life. I can only attempt to humbly acknowledge and thank the people and institutions that have given me so much help throughout my PhD career and made this dissertation possible. I am thankful to the Higher Education Commission (HEC) of Pakistan for providing funding throughout my Masters and PhD career. I am sincerely thankful to Miss. Cécile Belleudy, my advisor, for being a constant source of invaluable encouragement, aid, and expertise during my years at LEAT. I would also like to express my heartfelt gratitude to my co-supervisor Sébastien Bilavarn. He has provided insightful discussions about the research. I am very grateful for his scientific advice and knowledge and many insightful discussions and suggestions. The mentoring, friendship, and collegiality of both Cécile Belleudy and Sébastien Bilavarn enriched my academic life and have left a profound impression on how academic research and collaboration should ideally be conducted. I would also like to thank Professor Nathalie Julien and François Pecheux for being my reviewers and thoroughly reading and acknowledging my thesis. In addition, I would like to thank Professor Michel Auguin and Professor Smail Niar to be part of my jury. It is no easy task, reviewing a thesis, and I am grateful for their detailed reviewing. To the many anonymous reviewers at the various international conferences, thank you for helping to shape and guide the direction of the work with your careful and instructive comments. LEAT has provided a rich and fertile environment to study and explore new ideas. At LEAT, I would first like to thank Micheal Auguin who has been extremely supportive in allowing me to participate in lab activities whilst pursuing my PhD studies. I am grateful for the chance to be a part of the lab and thank for welcoming me as a friend and helping to develop the ideas in this thesis. Other colleagues who I owe gratitude for their support of my research or major PhD milestones include: Alain Pegatoquet, Bassem Ouni, Ons Mbarek, Khurram Bhatti, and Zeeshan Khan.
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