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MLP-Aware Instruction Queue Resizing: The Key to Power-Efficient Performance [chapter]

Pavlos Petoumenos, Georgia Psychou, Stefanos Kaxiras, Juan Manuel Cebrian Gonzalez, Juan Luis Aragon
2010 Lecture Notes in Computer Science  
Several techniques aiming to improve power-efficiency (measured as EDP) in out-of-order cores trade energy with performance. Prime examples are the techniques to resize the instruction queue (IQ).  ...  This information is used to override the resizing enforced by feedback mechanisms when this resizing might reduce MLP.  ...  Conclusions In this paper, we revisit techniques for resizing the instruction queue aiming to improve the power-efficiency of high-performance out-of-order cores.  ... 
doi:10.1007/978-3-642-11950-7_11 fatcat:sovpsn4ezffd7nzkeaac4ekj5u

CHARSTAR

Gokul Subramanian Ravi, Mikko H. Lipasti
2017 SIGARCH Computer Architecture News  
The primary contribution of CHARSTAR is optimizing reconfiguration mechanisms to become clock hierarchy aware.  ...  High-performance architectures are over-provisioned with resources to extract the maximum achievable performance out of applications.  ...  ACKNOWLEDGEMENTS The authors would like to thank anonymous reviewers for their insights and comments, Essan Swain for relevant CRIB RTL design and Michael Mishkin for CRIB topology generation, all of which  ... 
doi:10.1145/3140659.3080212 fatcat:wylho4k46ffcxdm65xf4lrjvla

Improving cache performance using read-write partitioning

Samira Khan, Alaa R. Alameldeen, Chris Wilkerson, Onur Mutluy, Daniel A. Jimenezz
2014 2014 IEEE 20th International Symposium on High Performance Computer Architecture (HPCA)  
Cache read misses stall the processor if there are no independent instructions to execute.  ...  We also show that RWP can perform within 3% of a new yet complex instruction-address-based technique, Read Reference Predictor (RRP), that bypasses cache lines which are unlikely to receive any read requests  ...  Acknowledgement We are grateful to Aamer Jaleel who helped with CMP$im [5] .  ... 
doi:10.1109/hpca.2014.6835954 dblp:conf/hpca/KhanAWMJ14 fatcat:rbonj4nuybbjvgejy5jbn5ntsi

Frontmatter [chapter]

Nilanjan Dey, Gitanjali Shinde, Parikshit Mahalle, Henning Olesen
2019 The Internet of Everything  
An electronic version of this book is freely available, thanks to the support of libraries working with Knowledge Unlatched.  ...  KU is a collaborative initiative designed to make high quality books Open Access. More information about the initiative can be found at www.knowledgeunlatched.org  ...  In the proposed system, normal data will not be discarded but it will be sent by some other alternative path to the sink node. The result shows better performance.  ... 
doi:10.1515/9783110628517-fm fatcat:3npfgq3o65f5pdbphf6pi4qn3a

Proceeding of the 2nd Deep Learning Indaba-X Ethiopia Conference 2021

ejssd journal
2022 Ethiopian Journal of Science and Sustainable Development  
To showcase its all-round efforts, ASTU has organized the 2nd Deep Learning Indaba-X Ethiopia Conference 2021 on "Strengthening Awareness and Application of Machine Learning and Artificial Intelligence  ...  To this end the country has exerted relentless efforts to materialize science and technology in the country.  ...  The purpose of this paper is to introduce a tool that attempts to remove unnecessary waiting time in bus depot that impedes the productivity of the workforce and work ethics.  ... 
doi:10.20372/ejssdastu:v0.i0.2022.412 doaj:6184f6f09a8e4521a49a11b6b41cd433 fatcat:jflueovu45aindmlhhvfv7xigy

Conference Guide [Front matter]

2020 2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV)  
key to the BMS of lithium- ion batteries.  ...  The feasibility and performance of the proposed method are demonstrated on a real thermal power plant process.  ...  Security of consensus control is of key significance in multi-agent systems.  ... 
doi:10.1109/icarcv50220.2020.9305477 fatcat:4h7gpoj7ljgsrlkjoyw3qcfzxi

Welcome Messages

2019 2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)  
Simulation results show that the proposed power allocation enables to equalize video quality even if the distances between a transmitter and users are different.  ...  This paper proposes a novel power allocation scheme for MU-MIMO systems, which minimizes the variance of channel capacities of each spatial stream of all users to achieve user fairness in terms of video  ...  A Multi-Layer Perceptron (MLP) is used to learn the relation and to calculate the effect of each relation.  ... 
doi:10.1109/ispacs48206.2019.8986291 fatcat:gu4zaxsqkncp5n2ebj5fybk7ce

Predictive Auto-scaling with OpenStack Monasca [article]

Giacomo Lanciano, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella
2021 pre-print
Our approach leverages on time-series forecasting techniques, like those based on machine learning and artificial neural networks, to predict the future dynamics of key metrics, e.g., resource consumption  ...  To deal with this problem, we propose an architecture for auto-scaling cloud services based on the status in which the system is expected to evolve in the near future.  ...  a powerful tool to embed more intelligence within elasticity controllers.  ... 
doi:10.1145/3468737.3494104 arXiv:2111.02133v1 fatcat:s22zfcsvq5brzawi2cqpeus73m

Energy-efficient Memory System Design with Spintronics

Ashish Ranjan
2019
Consequently, improving the energy-efficiency and performance of memory systems is an important challenge for computing system designers.  ...  This dissertation explores new approaches to improving the energy efficiency of spintronic memory systems.  ...  Vector processor architecture Quality-aware load/store instructions We introduce the notion of quality-aware memory instructions that expose the inherent resilience of the applications to the QcMem.  ... 
doi:10.25394/pgs.7479371.v2 fatcat:zu7tgm56pzabtd4sa2klmlhk6i

Workload Modelling and Elasticity Management of Data-Intensive Systems [article]

Ali Reza Khoshkbar Foroushha, University, The Australian National, University, The Australian National
2018
Efficiently and effectively processing large volume of data (often at high velocity) using an optimal mix of data-intensive systems (e.g., batch processing, stream processing, NoSQL) is the key step in  ...  To support users across such heterogeneous workloads where they are charged for every CPU cycle used and every data byte transferred in or out of the cloud datacenter, we need a set of intelligent performance  ...  In key-value data structure, given the exact key, the value is returned.  ... 
doi:10.25911/5d514439629c1 fatcat:wqc7ysigqjenhalej3m3drodga

A two-stage heuristic for the university course timetabling problem [chapter]

Máté Pintér, Balázs Dávid
2019 StuCoSReC. Proceedings of the 2019 6th Student Computer Science Research Conference  
Acknowledgments The authors acknowledge the financial support from the Slovenian Research Agency (Research Core Funding No. P2-0057).  ...  Power The power setting is a way to tell the Meta-Scheduler how much power a task needs to be able to run so that significant power-consuming tasks will only run when there is enough energy available.  ...  The power budget for a task is defined in the percentage of the total power available to the probe.  ... 
doi:10.26493/978-961-7055-82-5.27-30 fatcat:mv36atnxqvczjg7m7aetrpvy6y

Advances in Electron Microscopy with Deep Learning

Jeffrey Ede
2020 Zenodo  
This version of my thesis is typeset for online dissemination to improve readability, whereas the thesis submitted to the University of Warwick in support of my application for the degree of Doctor of  ...  scan paths to specimens by reinforcement learning; improving signal-to-noise; and conditional generative adversarial networks for exit wavefunction reconstruction from single transmission electron micrographs  ...  Competing Interests The author declares no competing interests. ORCID iD Acknowledgements Thanks go to Jasmine Clayton, Abdul Mohammed, and Jeremy Sloan for internal review.  ... 
doi:10.5281/zenodo.4598227 fatcat:hm2ksetmsvf37adjjefmmbakvq

Advances in Electron Microscopy with Deep Learning

Jeffrey Ede
2020 Zenodo  
This version of my thesis is typeset for online dissemination to improve readability, whereas the thesis submitted to the University of Warwick in support of my application for the degree of Doctor of  ...  scan paths to specimens by reinforcement learning; improving signal-to-noise; and conditional generative adversarial networks for exit wavefunction reconstruction from single transmission electron micrographs  ...  Competing Interests The author declares no competing interests. ORCID iD Acknowledgements Thanks go to Jasmine Clayton, Abdul Mohammed, and Jeremy Sloan for internal review.  ... 
doi:10.5281/zenodo.4591029 fatcat:zn2hvfyupvdwlnvsscdgswayci

Advances in Electron Microscopy with Deep Learning

Jeffrey Ede
2020 Zenodo  
This copy of my thesis is typeset for online dissemination to improve readability, whereas the thesis submitted to the University of Warwick in support of my application for the degree of Doctor of Philosophy  ...  scan paths to specimens by reinforcement learning; improving signal-to-noise; and conditional generative adversarial networks for exit wavefunction reconstruction from single transmission electron micrographs  ...  Competing Interests The author declares no competing interests. ORCID iD Acknowledgements Thanks go to Jasmine Clayton, Abdul Mohammed, and Jeremy Sloan for internal review.  ... 
doi:10.5281/zenodo.4399748 fatcat:63ggmnviczg6vlnqugbnrexsgy

Improving Cache Performance by Exploiting Read-Write Disparity

Samira Khan, Alaa R. Alameldeen, Chris Wilkerson, Onur Mutlu, Daniel A. Jimenez
2018
Cache read misses stall the processor if there are no independent instructions to execute.  ...  We also show that RWP can perform within 3% of a new yet complex instruction-address-based technique, Read Reference Predictor (RRP), that bypasses cachelines which are unlikely to receive any read requests  ...  Acknowledgement We are grateful to Aamer Jaleel who helped with CMP$im [5] .  ... 
doi:10.1184/r1/6468905 fatcat:zjf4vmg3sffqrovurwtacmlwge
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