• About
  • Policies
  • What is openaccess
  • 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.

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

      Thumbnail
      View / Download
      296.1 Kb
      Author
      Onsori, Salman
      Asad, Arghavan
      Raahemifar, K.
      Fathy, M.
      Date
      2015-11
      Source Title
      ISOCC 2015 - International SoC Design Conference: SoC for Internet of Everything (IoE)
      Publisher
      IEEE
      Pages
      261 - 262
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
      158
      views
      104
      downloads
      Abstract
      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 on the memory layer, and maps applications/threads on cores in the core layer effectively. The detailed proposed model satisfies the power constraint which is the main challenge of dark-silicon era. Experimental results show that the proposed architecture considerably improves the energy-delay product (EDP) and performance of the 3D eCMP compared to the Baseline memory design. © 2015 IEEE.
      Keywords
      Convex-optimization
      Embedded chip-multiprocessor (eCMP)
      Hybrid memory architecture
      Non-volatile memory (NVM)
      Adaptive systems
      Convex optimization
      Data storage equipment
      Design
      Digital storage
      Multiprocessing systems
      Optimization
      Product design
      Programmable logic controllers
      Random access storage
      Static random access storage
      Convex modeling
      Embedded chips
      Energy delay product
      Memory design
      Memory layers
      Non-volatile memory
      Power constraints
      Proposed architectures
      Memory architecture
      Permalink
      http://hdl.handle.net/11693/37719
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/ISOCC.2015.7401747
      Collections
      • Department of Computer Engineering 1371
      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 decoupled local memory allocator 

        Diouf, B.; Hantaş, C.; Cohen, A.; Özturk, Ö.; Palsberg, J. (Association for Computing Machinery, 2013)
        Compilers use software-controlled local memories to provide fast, predictable, and power-efficient access to critical data. We show that the local memory allocation for straight-line, or linearized programs is equivalent ...
      • Thumbnail

        Notice of violation of IEEE publication principles an energy-efficient heterogeneous memory architecture for future dark silicon embedded chip-multiprocessors 

        Onsori, S.; Asad, A.; Raahemifar, K.; Fathy, M. (IEEE Computer Society, 2018)
        Main memories play an important role in overall energy consumption of embedded systems. Using conventional memory technologies in future designs in nanoscale era causes a drastic increase in leakage power consumption and ...

      Browse

      All of BUIRCommunities & CollectionsTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartmentsThis CollectionTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartments

      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 1771
      Copyright © Bilkent University - Library IT

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