OptMem: dark-silicon aware low latency hybrid memory design
dc.contributor.author | Onsori, Salman | en_US |
dc.contributor.author | Asad, Arghavan A | en_US |
dc.contributor.author | Raahemifar, K. | en_US |
dc.contributor.author | Fathy, M. | en_US |
dc.coverage.spatial | Bangalore, India | |
dc.date.accessioned | 2018-04-12T11:48:00Z | |
dc.date.available | 2018-04-12T11:48:00Z | |
dc.date.issued | 2016-01 | en_US |
dc.department | Department of Computer Engineering | en_US |
dc.description | Date of Conference: 10-12 Jan. 2016 | |
dc.description | Conference name: 2016 International Conference on VLSI Systems, Architectures, Technology and Applications (VLSI-SATA) | |
dc.description.abstract | In this article, we present a convex optimization model to design a three dimension (3D)stacked hybrid memory system to improve performance in the dark silicon era. Our convex model optimizes numbers and placement of static random access memory (SRAM) and spin-Transfer torque magnetic random-Access memory(STT-RAM) memories on the memory layer to exploit advantages of both technologies. Power consumption that is the main challenge in the dark silicon era is represented as a main constraint in this work and it is satisfied by the detailed optimization model in order to design a dark silicon aware 3D Chip-Multiprocessor (CMP). Experimental results show that the proposed architecture improves the energy consumption and performanceof the 3D CMPabout 25.8% and 12.9% on averagecompared to the Baseline memory design. © 2016 IEEE. | en_US |
dc.description.provenance | Made available in DSpace on 2018-04-12T11:48:00Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 179475 bytes, checksum: ea0bedeb05ac9ccfb983c327e155f0c2 (MD5) Previous issue date: 2016 | en |
dc.identifier.doi | 10.1109/VLSI-SATA.2016.7593059 | en_US |
dc.identifier.uri | http://hdl.handle.net/11693/37686 | en_US |
dc.language.iso | English | en_US |
dc.publisher | IEEE | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1109/VLSI-SATA.2016.7593059 | en_US |
dc.source.title | 2016 International Conference on VLSI Systems, Architectures, Technology and Applications, VLSI-SATA 2016 | en_US |
dc.subject | 3D integration | en_US |
dc.subject | Convex optimization | en_US |
dc.subject | Dark silicon | en_US |
dc.subject | Embedded chip-multiprocessor (eCMP) | en_US |
dc.subject | Hybrid memory architecture | en_US |
dc.subject | Non-volatile memory (NVM) | en_US |
dc.subject | Convex optimization | en_US |
dc.subject | Data storage equipment | en_US |
dc.subject | Digital storage | en_US |
dc.subject | Energy utilization | en_US |
dc.subject | Integrated circuit design | en_US |
dc.subject | Magnetic storage | en_US |
dc.subject | Memory architecture | en_US |
dc.subject | Multiprocessing systems | en_US |
dc.subject | Optimization | en_US |
dc.subject | Silicon | en_US |
dc.subject | Static random access storage | en_US |
dc.subject | VLSI circuits | en_US |
dc.subject | 3-D integration | en_US |
dc.subject | Dark silicons | en_US |
dc.subject | Embedded chips | en_US |
dc.subject | Non-volatile memory | en_US |
dc.subject | Uncore components | en_US |
dc.subject | Random access storage | en_US |
dc.title | OptMem: dark-silicon aware low latency hybrid memory design | en_US |
dc.type | Conference Paper | en_US |
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