• About
  • Policies
  • What is open access
  • Library
  • Contact
Advanced search
      View Item 
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Computer Engineering
      • View Item
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Computer Engineering
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      High performance 3D CMP design with stacked hybrid memory architecture in the dark silicon era using a convex optimization model

      Thumbnail
      View / Download
      1.0 Mb
      Author(s)
      Onsori, Salman
      Asad, Arghavan
      Raahemifar, K.
      Fathy, M.
      Date
      2016-05
      Source Title
      Proceedings - IEEE International Symposium on Circuits and Systems, 2016
      Publisher
      IEEE
      Pages
      2607 - 2610
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
      223
      views
      252
      downloads
      Abstract
      In this article, we present a convex optimization model to design a stacked hybrid memory system to improve performance and reduce energy consumption of the chip-multiprocessor (CMP). Our convex model optimizes numbers and placement of SRAM and STT-RAM memories on the memory layer, and efficiently maps applications/threads on cores in the core layer. Power consumption that is the main challenge in the dark silicon era is represented as a power constraint in this work and it is satisfied by the detailed optimization model in order to design a dark silicon aware 3D CMP. Experimental results show that the proposed architecture considerably improves the energy-delay product (EDP) and performance of the 3D CMP compared to the Baseline memory design. © 2016 IEEE.
      Keywords
      Convex-optimization
      Dark silicon
      Embedded chip-multiprocessor (eCMP)
      Hybrid memory architecture
      Non-volatile memory (NVM)
      Power management
      Convex optimization
      Data storage equipment
      Design
      Digital storage
      Energy utilization
      Multiprocessing systems
      Optimization
      Power management
      Product design
      Random access storage
      Reconfigurable hardware
      Silicon
      Static random access storage
      Chip multiprocessors
      Dark silicons
      Embedded chips
      Energy delay product
      Non-volatile memory
      Optimization modeling
      Proposed architectures
      Reduce energy consumption
      Memory architecture
      Permalink
      http://hdl.handle.net/11693/37724
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/ISCAS.2016.7539127
      Collections
      • Department of Computer Engineering 1561
      Show full item record

      Related items

      Showing items related by title, author, creator and subject.

      • Thumbnail

        Using data compression for increasing memory system utilization 

        Ozturk, O.; Kandemir, M.; Irwin, M. J. (Institute of Electrical and Electronics Engineers, 2009-06)
        The memory system presents one of the critical challenges in embedded system design and optimization. This is mainly due to the ever-increasing code complexity of embedded applications and the exponential increase seen in ...
      • Thumbnail

        A high-performance hybrid memory architecture for embedded CMPs using a convex optimization model 

        Onsori, Salman; Asad, Arghavan; Raahemifar, K.; Fathy, M. (IEEE, 2015-11)
        In this article, we present a convex optimization model to design a stacked hybrid memory system for 3D embedded chip-multiprocessors (eCMP). Our convex model optimizes numbers and placement of SRAM and STT-RAM memories ...
      • Thumbnail

        A heterogeneous memory organization with minimum energy consumption in 3D chip-multiprocessors 

        Asad, Arghavan; Onsori, Salman; Fathy, M.; Jahed-Motlagh, M. R.; Raahemifar, K. (IEEE, 2016-05)
        Main memories play an important role in overall energy consumption of embedded systems. Using conventional memory technologies in future designs in nanoscale era cause a drastic increase in leakage power consumption and ...

      Browse

      All of BUIRCommunities & CollectionsTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartmentsCoursesThis CollectionTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartmentsCourses

      My Account

      Login

      Statistics

      View Usage StatisticsView Google Analytics Statistics

      Bilkent University

      If you have trouble accessing this page and need to request an alternate format, contact the site administrator. Phone: (312) 290 2976
      © Bilkent University - Library IT

      Contact Us | Send Feedback | Off-Campus Access | Admin | Privacy