The Thirteenth International Conference on Future Computational Technologies and Applications

FUTURE COMPUTING 2021

April 18, 2021 to April 22, 2021 - Porto, Portugal

Deadlines

Submission

Feb 08, 2021

Notification

Mar 03, 2021

Registration

Mar 13, 2021

Camera ready

Mar 16, 2021

Deadlines differ for special tracks. Please consult the conference home page for special tracks Call for Papers (if any).

Publication

Published by IARIA Press (operated by Xpert Publishing Services)

Archived in the Open Access IARIA ThinkMind Digital Library

Prints available at Curran Associates, Inc.

Authors of selected papers will be invited to submit extended versions to a IARIA Journal

Indexing Procedure

Affiliated Journals

FUTURE COMPUTING 2021 - The Thirteenth International Conference on Future Computational Technologies and Applications

April 18, 2021 - April 22, 2021

FUTURE COMPUTING 2021: Awards
Onsite and Online Options: In order to accommodate a large number of situations, we are offering the option for either physical presence or virtual participation (pdf slides or pre-recorded videos).

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 (also Invited for IARIA Journals)

FOSDA: A Hybrid Disaggregated HPC Architecture based on Distributed Nanoseconds Optical Switches
Xiaotao Guo, Xuwei Xue, Bitao Pan, Fulong Yan, Georgios Exarchakos, Nicola Calabretta

 

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

Computing Efficiency in Membrane Systems
Claudio Zandron

Data Pre-processing and Clustering Algorithm for Epidemic Disease Diagnosis Data
Yaoyao Sang, Lianjiang Zhu, Tao Du, Shouning Qu

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