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NANOCOMNET-SI 2020 : Special Issue on Chip-scale Nanonetworks: Recent Trends, Emerging Technologies, Disruptive Applications

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Link: https://www.journals.elsevier.com/nano-communication-networks/call-for-papers/special-issue-on-chip-scale-nanonetworks
 
When N/A
Where N/A
Submission Deadline Mar 20, 2020
Notification Due Jul 1, 2020
Final Version Due Jul 15, 2020
Categories    nanonetworks   network-on-chip   wireless communications   nanocommunications
 

Call For Papers

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NANO COMMUNICATION NETWORKS (Elsevier, IF: 2.25)
https://www.journals.elsevier.com/nano-communication-networks
Special issue on Chip-scale Nanonetworks:
Recent Trends, Emerging Technologies, Disruptive Applications
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EDITORS
- Sergi Abadal, Universitat Politècnica de Catalunya, Spain
- Salvatore Monteleone, University of Catania, Italy
- Kun-Chih Chen, National Sun Yat-sen University, Taiwan
- Maurizio Palesi, University of Catania, Italy
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IMPORTANT DATES
- Manuscript submissions due: 20 March 2020
- Notification of acceptance: 1 July 2020
- Final manuscripts due: 15 July 2020
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SUBMISSION INSTRUCTIONS
Go to https://www.evise.com/profile/api/navigate/NANOCOMNET
and choose "VSI: Chip-Scale Nanonetworks" when submitting
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SCOPE AND TOPICS OF INTEREST
See below
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Aims and Scope
Recent years have witnessed the emergence of computing architectures that integrate up to a thousand processor cores and memory on a single die as a result of relentless semiconductor device scaling. This opens up a plethora of architectural challenges in terms of efficiency or specialization, among others, and supports the spread of various applications and novel computational paradigms, ranging from massive manycore processing to reconfigurable, quantum, in-memory, or neuromorphic computing.

As a side effect of such wild increase in integration, communication (and not computation) has gradually become the main determinant of performance in nowadays computers. To address this, processors integrate interconnection networks that manage the movement of data in a scalable and cost-effective manner at the chip scale, i.e., for ranges between hundreds of nanometers to a few millimeters. The main challenge is for these chip-scale nanonetworks to provide the efficiency, versatility, scalability and reliability necessary to tackle the growing technological, architectural and workload heterogeneity in this new era of computing.

The special issue seeks contributions addressing the different challenges of chip-scale nanocommunications and networking, putting emphasis on emerging technologies (e.g., wireless, RF interconnects, optics), new approaches (e.g., approximate computing, machine-learning-based design) and disruptive applications (e.g., quantum computers). The editors equally welcome submissions about physical prototypes realizable in the near future and more prospective contributions with clear longer-term potential. While the scope of the special issue revolves around communications and networking aspects, submissions discussing frontier aspects such as memory architectures, 2.5D/3D packages, or application mapping are also welcome.

Topics of Interest
The special issue solicits high-quality and original contributions on topics including, but not limited to:

- Wireless chip-scale nanonetworks: mmWave-THz channel models, on-chip antenna design, transceiver implementation, MAC protocols, graphene-based wireless designs, wireless manycore architectures, hybrid wired-wireless nanonetworks.
- Nanophotonic chip-scale nanonetworks: integrated nanophotonic component design, laser integration, novel network architectures, thermal-aware design, optical-wireless channel modeling.
- Integrated 2.5D/3D nanonetworks: stacked and monolithic 3D Network-on-Chip (NoC), TSV placement, TSV-aware topologies, off-chip communication in interposer-based systems
- Machine learning (ML) and chip-scale nanonetworks: Interconnects for ML systems/accelerators, Memory access for the nanonetwork-based ML systems, interconnect-centric ML algorithm design.
- Communication within quantum computers: qubit mapping, SWAP-aware routing algorithms, qubit shuttling and swapping mechanisms, multi-chip quantum architectures.
- Approximate computing for NoC and NoC-based systems: approximate communication in on-chip networks, approximate computing-communications interplay, adaptive error control.
- NoC in emerging architectures/applications: NoCs for FPGAs, ASICs, heterogeneous systems; neural network accelerators, massive manycore processors, neuromorphic (spike-based) computers, software-defined metamaterials, programmable matter.
- Extreme embedded nano-systems: real-time, mission-critical, intermittent computing, energy-harvesting-based embedded networks.
- Quantum Cellular Automata: integrated communication modules, prototypes, QCA-network-on-chip.
- NoC architecture and implementation: impact of novel technologies to topologies, routing, flow control, QoS management, reliability, security, design methodologies and tools, application mapping. Real and industrial NoC case studies. Thermal-aware routing, multicast and broadcast in manycore processors.

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