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 | |
| dc.department | Department of Computer Engineering | |
| 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. | |
| dc.identifier.doi | 10.1109/VLSI-SATA.2016.7593059 | |
| dc.identifier.uri | http://hdl.handle.net/11693/37686 | |
| dc.language.iso | English | |
| dc.publisher | IEEE | |
| dc.relation.isversionof | http://dx.doi.org/10.1109/VLSI-SATA.2016.7593059 | |
| dc.source.title | 2016 International Conference on VLSI Systems, Architectures, Technology and Applications, VLSI-SATA 2016 | |
| dc.subject | 3D integration | |
| dc.subject | Convex optimization | |
| dc.subject | Dark silicon | |
| dc.subject | Embedded chip-multiprocessor (eCMP) | |
| dc.subject | Hybrid memory architecture | |
| dc.subject | Non-volatile memory (NVM) | |
| dc.subject | Convex optimization | |
| dc.subject | Data storage equipment | |
| dc.subject | Digital storage | |
| dc.subject | Energy utilization | |
| dc.subject | Integrated circuit design | |
| dc.subject | Magnetic storage | |
| dc.subject | Memory architecture | |
| dc.subject | Multiprocessing systems | |
| dc.subject | Optimization | |
| dc.subject | Silicon | |
| dc.subject | Static random access storage | |
| dc.subject | VLSI circuits | |
| dc.subject | 3-D integration | |
| dc.subject | Dark silicons | |
| dc.subject | Embedded chips | |
| dc.subject | Non-volatile memory | |
| dc.subject | Uncore components | |
| dc.subject | Random access storage | |
| dc.title | OptMem: dark-silicon aware low latency hybrid memory design | |
| dc.type | Conference Paper |
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