Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/90107
Title: Thermal-aware task mapping on dynamically reconfigurable network-on-chip based multiprocessor system-on-chip
Authors: Liu, Weichen
Yang, Lei
Jiang, Weiwen
Feng, Liang
Guan, Nan
Zhang, Wei
Dutt, Nikil
Keywords: Reconfigurable NoC
Task Mapping
DRNTU::Engineering::Computer science and engineering
Issue Date: 2018
Source: Liu, W., Yang, L., Jiang, W., Feng, L., Guan, N., Zhang, W., & Dutt, N. (2018). Thermal-Aware Task Mapping on Dynamically Reconfigurable Network-on-Chip Based Multiprocessor System-on-Chip. IEEE Transactions on Computers, 67(12), 1818-1834. doi:10.1109/TC.2018.2844365
Series/Report no.: IEEE Transactions on Computers
Abstract: Dark silicon is the phenomenon that a fraction of many-core chip has to be turned off or run in a low-power state in order to maintain the safe chip temperature. System-level thermal management techniques normally map application on non-adjacent cores, while communication efficiency among these cores will be oppositely affected over conventional network-on-chip (NoC). Recently, SMART NoC architecture is proposed, enabling single-cycle multi-hop bypass channels to be built between distant cores at runtime, to reduce communication latency. However, communication efficiency of SMART NoC will be diminished by communication contention, which will in turn decrease system performance. In this paper, we first propose an Integer-Linear Programming (ILP) model to properly address communication problem, which generates the optimal solutions with the consideration of inter-processor communication. We further present a novel heuristic algorithm for task mapping in dark silicon many-core systems, called TopoMap, on top of SMART architecture, which can effectively solve communication contention problem in polynomial time. With fine-grained consideration of chip thermal reliability and inter-processor communication, presented approaches are able to control the reconfigurability of NoC communication topology in task mapping and scheduling. Thermal-safe system is guaranteed by physically decentralized active cores, and communication overhead is reduced by the minimized communication contention and maximized bypass routing. Performance evaluation on PARSEC shows the applicability and effectiveness of the proposed techniques, which achieve on average 42.5 and 32.4 percent improvement in communication and application performance, and 32.3 percent reduction in system energy consumption, compared with state-of-the-art techniques. TopoMap only introduces 1.8 percent performance difference compared to ILP model and is more scalable to large-size NoCs.
URI: https://hdl.handle.net/10356/90107
http://hdl.handle.net/10220/48373
ISSN: 0018-9340
DOI: 10.1109/TC.2018.2844365
Rights: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TC.2018.2844365.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

Files in This Item:
File Description SizeFormat 
Thermal-aware Task Mapping on Dynamically.pdf5.02 MBAdobe PDFThumbnail
View/Open

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.