INFOCOMP 2018 - The Eighth International Conference on Advanced Communications and Computation
July 22, 2018 - July 26, 2018
INFOCOMP 2018: Awards
The papers listed below have been selected as "Best Papers" based on the reviews of the original submission, the camera-ready version, and the presentation during the conference. For the awarded papers, a digital award will be issued in the name of the authors. The authors of these papers are also receiving invitations to submit an extended article version to one of the IARIA Journals.
Awarded Papers
A Parallel Hardware Architecture for Fork-Join Parallel Applications
Atakan Dogan, Ismail San, Kemal Ebcioglu
Computation and Knowledge Mapping for Data Entities
Claus-Peter Rückemann
Performance Optimization of D3Q19 Lattice Boltzmann Kernels on Intel® KNL
Ivan Girotto, Sebastiano Fabio Schifano, Enrico Calore, Gianluca Di Staso, Federico Toschi
Understanding Power Measurement Capabilities on Zaius Power9
Bo Li, Edgar A Leon, Kirk W Cameron
Qualitative and Quantitative Risk Analysis of Unmanned Aerial Vehicle Flights over Construction Job Sites
Hashem Izadi Moud, Alireza Shojaei, Ian Flood, Xun Zhang, Mohsen Hatami
The following papers have been selected on the basis of their contents, specificaly for lending themselves to an interesting extended work. The authors of these papers are receiving invitations to submit an extended article version to one of the IARIA Journals.
Papers Invited for IARIA Journals
Global Exponential Stability of the Periodic Solution of a Discrete-Time Complex-Valued Hopfield Neural Network with Delays and Impulses
Valery Covachev, Zlatinka Covacheva
A Simple Framework for Energy Efficiency Evaluation and Hardware Parameter Tuning with Modular Support for Different HPC Platforms
Ondrej Vysocky, Jan Zapletal, Lubomir Riha
Energy Efficiency of Epiphany Many-Core Architecture for Parallel Molecular Dynamics Calculations
Vsevolod Nikolskii, Vladimir Stegailov
Optimal Hardware Parameters Prediction for Best Energy-to-Solution of Sparse Matrix Operations Using Machine Learning Techniques
Vojtech Nikl, Ondrej Vysocky, Lubomir Riha, Jan Zapletal
Privacy-Preserving Multicast to Explicit Agnostic Destinations
Cuong Ngoc Tran, Vitalian Danciu
Forecasting Transportation Project Frequency using Multivariate Regression with Elastic Net Regularization
Alireza Shojaei, Hashem Izadi Moud, Ian Flood