ASPIDE 2021 Workshop

August 30-31, 2021

in conjuntion with Euro-par 2021

Extreme Data is an incarnation of Big Data concept distinguished by the massive amounts of data that must be queried, communicated and analyzed in (near) real-time by using a very large number of memory/storage elements and Exascale computing systems. Immediate examples are the scientific data produced at a rate of hundreds of gigabits-per- second that must be stored, filtered and analyzed, the millions of images per day that must be mined (analyzed) in parallel, the one billion of social data posts queried in real-time on an in-memory components database. Traditional disks or commercial storage cannot handle nowadays the extreme scale of such application data. Following the need of improvement of current concepts and technologies, ASPIDE’s topics focus on data-intensive applications running on systems composed of up to millions of computing elements (Exascale systems). Practical results will include the methodology and software prototypes that will be designed and used to implement Exascale applications.

The ASPIDE 2021 workshop will contribute with the definition of new programming paradigms, APIs, runtime tools, and methodologies for expressing data-intensive tasks on Exascale systems, which can pave the way for the exploitation of massive parallelism over a simplified model of the system architecture, promoting high performance and efficiency, and offering powerful operations and mechanisms for processing extreme data sources at high speed and/or real-time.

Topics of interest include, but are not limited to:

  • High-level parallel programming models, libraries and languages for Exascale platforms
  • Description languages for Exascale Platforms
  • Programming models for data-intensive applications
  • In-memory data storage systems
  • Data-intensive applications
  • Large scale monitoring systems for Exascale
  • AI at large scale
  • Event detection systems for assisted monitoring

Program committee

  • Jesus Carrero, University Carlos III of Madrid
  • Manuel Desco, Hospital General Universitario Gregorio Marañón
  • Jose Daniel Garcia, University Carlos III of Madrid
  • Fabrizio Marozzo, University of Calabria
  • Ariel Oleksiak, Poznan Supercomputing and Networking Center
  • Dana Petcu, West University of Timisoara
  • Radu Prodan, University of Klagenfurt
  • Domenico Talia, University of Calabria
  • Dragi Kimovski, University of Klagenfurt
  • Paolo Trunfio, University of Calabria
  • Lionel Vincent, ATOS/Bull

Paper submission guidelines

  • Papers must be in PDF format and should not exceed 14 pages (including references) and 7500 words. 
  • Papers must be formatted in the Springer LNCS style: www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
  • Papers that don’t meet these requirements might be rejected without a review.
  • Contributions submitted elsewhere or currently under review will not be considered.
  • All submitted papers will be checked for originality by Springer iThenticate. Papers which show an insufficient originality might be rejected without a review.
  • Paper submissions are made through EasyChair, using the link below.

Contact

Javier Garcia-Blas fjblas@inf.uc3m.es