Llamado a presentar trabajos a CARLA 2020

Jueves, 25 Junio, 2020
CARLA 2020 will feature two exciting tracks: HPC (High Performance Computing) and HPC&AI. The latter is a new addition to the regular CARLA program and focuses on the synergies between AI applications and HPC. These synergies are bidirectional.
Llamado a presentar trabajos a CARLA 2020

PROGRAM

CARLA 2020 will feature two exciting tracks: HPC (High Performance Computing) and HPC&AI. The latter is a new addition to the regular CARLA program and focuses on the synergies between AI applications and HPC. These synergies are bidirectional. On one hand, AI needs HPC to run its greedy algorithms to solve a large variety of problems in multiple domains. On the other hand, HPC is finding its way to increase its impact on our society thanks to the multiple existent AI applications. In both cases, the complexity of HPC&AI systems often requires the use of HPC to tackle realistic problems where both the amount of data and the number of relationships among data elements could be monumental. The conference program includes keynote and invited talks from academy and industry, full-article and poster sessions (presenting both mature work and new ideas in research), workshops, tutorials, discussion spaces, and more.

 

IMPORTANT DATES

Article submission deadline: July 12,2020
Article author notification: July 31, 2020
Posters and workshops submission deadline: August 9, 2020
Posters and workshops notification: August 16, 2020
Camera-ready version: August 23, 2020
Conference dates: September 2 to September 4 2020

 

TOPICS

Track #1: High Performance Computing (HPC)

Topics of interest include, but are not limited to:

  • Parallel Algorithms
  • Multicore Architectures and Accelerators
  • Parallel Programming Techniques
  • Grid, Cloud, and Edge Computing
  • HPC Education and Outreach
  • HPC Infrastructure and Datacenters
  • Large-scale Distributed Systems
  • Scientific and Industrial Computing
  • High Performance Computing Applications and Tools
  • Big Data, Data Management, and Visualization
  • Quantum computing

 

Track #2: Artificial Intelligence using HPC

Topics of interest include, but are not limited to:

  • Deep Learning
  • Evolutionary Computing
  • Fuzzy Systems
  • Intelligence and Cybersecurity
  • Knowledge Representation and Reasoning
  • Ambient Intelligence
  • Machine Learning
  • Natural Language Processing
  • Neural Networks
  • Social Network Analysis
  • Uncertainty in AI
  • Visualization
  • Cognitive Systems
  • Data Mining
  • Data Science

 

Submission Guidelines

 

Authors should consult Springer's authors' guidelines and use their proceedings templates, either for LaTeX or for MSWord, for the preparation of their articles: template  https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines

 

Springer encourages authors to include their ORCIDs in their articles. To create an ORCID ID please visit https://orcid.org/register

 

In addition, the corresponding author of an article, acting on behalf of all authors of that article, must complete and sign a Consent-to-Publish form, through which the copyright for their article is transferred to Springer.

 

  • All submissions must be in English, the only official language of the conference.
  • Regular articles should not exceed 15 pages (including references).
  • Articles must be formatted in the LNCS style of Springer Verlag  LNCS style (see details at https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines)
  • All submitted research articles will be peer-reviewed by at least three reviewers.
  • Only contributions that are not submitted elsewhere or currently under review will be considered.
  • Only accepted contributions presented at the conference will be included in the proceedings.
  • Article submission is handled electronically with Springer’s Online Conference System: OCS
  • All articles accepted for publication will be included in the CARLA 2020 Proceedings, to be published in Springer CCIS Series -- Communications in Computer and Information Science. CCIS is abstracted/indexed in Scopus, DBLP, Google Scholar, EI-Compendex, Mathematical Reviews and SCImago. CCIS volumes are also submitted to be included in ISI Proceedings.