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Call for Papers March 3, 2020

Special Issue on "Performance, Power and Energy-Efficiency Optimization in Computer Architectures"

Energies, MDPI (ISSN 1996-1073) - Open Access Journal

Ranked Q1 in Scopus/Scimago - Impact Factor: 2.707 (2018)

Website: https://www.mdpi.com/journal/energies/special_issues/Energy_Computer_Architectures

 

SCOPE AND OBJECTIVES:

 

To satisfy the growing demands for higher application performance and reduced power and energy consumption, performance and energy efficiency optimization has become a fundamental constraint and requisite, embracing the processor architectures (homogeneous/heterogeneous

many-core GPPs), the accelerators and co-processors (e.g., APUs, GPUs, etc.), and even the embedded domain (e.g., SoCs, FPGAs, ASICs, etc.), where the development of energy-saving methodologies is a fundamental issue  not only  for mobile, hand-held and wireless applications but also to reach exascale computing.

 

The need to satisfy the required performance levels, as well as the new thermal, power and energy constraints, require the definition of innovative solutions to attain an effective optimization of the offered throughput and/or minimization of the power/energy consumption. Among

many other research directions, this challenge naturally involves the design of high performance and energy-efficient architectures and communication infrastructures, as well as the development of novel algorithms and tools comprising the scheduling, mapping, load-balancing, and scalability, together with innovative compilation techniques.

 

The goal of this Special Issue is to collect novel contributions covering prevailing issues and prominent challenges related to optimizing the performance, power, and energy efficiency in computing devices and systems.

 

Topics of interest include (but are not limited to) the following:

 

  • Computer architecture trends for performance and energy efficiency:
  •  ISA diversity and morphable structures;
  •  Run-time reconfiguration/adaptation and dynamic scalability;
  • CPU accelerator co-design (GPUs, APUs, FPGAs, etc.);
  • Heterogeneous and parallel processing architectures;
  • Approximate computing techniques and architectures;
    • Neuromorphic architectures.
  • Energy/power management and control:
  •  Run-time power/energy monitoring and sensing;
  • Performance, power, energy and heat/temperature modeling;
  • Dynamic Voltage and Frequency Scaling (DVFS);
  • Power/clock gating strategies;
  • Performance vs. power/energy scaling and management.
    • Tools and algorithms:
  • Programming languages, compilers and models for energy-aware computing;
  • Profiling and simulation tools for heat/power/energy estimation;
  • Scheduling, mapping and task/thread migration policies for performance and power/energy optimization;
  • Performance- and energy-aware resource management;
  • Operating system support and energy management tools.

 

GUEST EDITORS:

 

  • Leonel Sousa, INESC-ID, Instituto Superior Técnico, Universidade de Lisboa, Portugal (las@inesc-id.pt)
  • Nuno Roma, INESC-ID, Instituto Superior Técnico, Universidade de Lisboa, Portugal (nuno.roma@inesc-id.pt)

 

 

INSTRUCTIONS FOR PAPER SUBMISSION:

 

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to

go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be

published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review

articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

 

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

 

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

 

--

Nuno Roma

INESC-ID, IST, Universidade de Lisboa

http://sips.inesc-id.pt/~nfvr

 

 

 

Call for Papers March 15, 2020

Topic: IEEE Transactions on Sustainable Computing - Special Issue on Energy-Efficient Edge Computing

 

The future increase in the amount of data and workloads generated by Internet of Things (IoT) devices and connected sensors will lead to the necessity to move computational nodes from the cloud data centers closer to the data source, i.e., at the edge of the cloud, for reduced latency. An edge system is composed of any computing and networking resources along the path between data sources and cloud data centers. Depending on the specific computing needs, edge computing devices can use either a wireless or a wired connection to exchange messages with the data sources. IoT devices and sensors can then exploit the hierarchical structure of the edge and cloud system to analyze the collected data and provide useful information to users in a timely manner. For example, wearable sensors could use the computing resources of the user’s smartphone, laptop, or even smart vehicle to analyze the collected data. Because a large majority of edge devices are battery operated and have limited connectivity, the energy efficiency of computation becomes critical. To this end, it is important to minimize the energy consumption of all the components of an edge system, including sensors, IoT devices, edge nodes, and network devices while guaranteeing the desired performance. For this special issue we solicit original experimental, conceptual, and theoretical contributions on the following topics related to energy-efficient edge computing:

 

  • Energy-aware application placement and offloading
  • Energy-aware resource management
  • Energy-aware data management
  • Energy-aware edge2cloud coordination
  • Energy-aware sensing for edge computing systems
  • Energy-efficient hardware architectures for edge computing and devices
  • Energy-efficient edge computing for AI applications
  • Energy-efficient edge computing applications
  • Energy-efficient vehicular edge computing
  • Energy-efficient edge computing for autonomous robots
  • Energy-efficient networks for edge computing
  • Edge computing powered by distributed renewable energy resources

 

Submission Guidelines:

 

Authors are invited to submit their manuscripts via the online system (https://mc.manuscriptcentral.com/tsusc-cs).

The manuscript must follow the IEEE Transactions on Sustainable Computing author guidelines (https://www.computer.org/web/tsusc/author). When submitting the manuscript please select the special issue on Energy-Efficient Edge Computing. The submission should be original work by the authors, not be published or currently submitted for publication elsewhere.

 

Important Dates:

 

Submission deadline:      March 15, 2020

Preliminary notification: July 15, 2020

Revision deadline:        August 15, 2020

Final notification:       September 15, 2020

Publication:              April - June 2021 (subject to editorial calendar)

 

Guest Co-Editors:

 

Daniel Grosu, Wayne State University, USA. <dgrosu@wayne.edu>

Jiannong Cao, The Hong Kong Polytechnic University, Hong Kong <csjcao@comp.polyu.edu.hk>

Marco Brocanelli, Wayne State University, USA. <brok@wayne.edu>

 

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