ASPIDE 2018 - 1st Workshop on Exascale programing models for extreme data processing (ASPIDE 2018)

The 1st Workshop on Exascale programing models for extreme data processing (ASPIDE 2018)
https://www.arcos.inf.uc3m.es/aspide2018
In conjunction with SBAC­-PAD 2018
30th International Symposium on Computer Architecture and High Performance Computing
September 24-27, 2018
École Normale Supérieure, Lyon, France
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 2018 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.
Topic of interest
Topics of interest, include, but are not limited to:
Programming models for Big Data analytics
High performance Data Analytics
Convergence of HPC and Big Data domains
Virtualized storage systems
In-memory data storage
Scientific I/O middlewares
Workflow management for Big Data
Models and techniques for scalable data processing
High performance extreme data analysis algorithms
Data-intensive case studies in exascale systems
Workshop publication
Accepted paper will be published in the proceedings of the SBAC­-PAD 2018 Conference.
Important Dates
Submission date: June 1st, 2018
Author notification: June, 20th, 2018
Camera ready: July 20th, 2018
Workshop: September 24-27, 2018
Organization
General Chair
Javier Garcia-Blas, University Carlos III of Madrid
Program Committee
Monica Abella, Hospital General Universitario Gregorio Marañón
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
Teresa Pizzuti, Integris
Ariel Oleksiak, Poznan Supercomputing and Networking Center
Dana Petcu, West University of Timisoara
Radu Prodan, University of Klagenfurt
Paolo Trunfio, University of Calabria
Xavier Vigouroux, ATOS/Bull
Submission instructions
Authors are asked to prepare their manuscripts according to the IEEE format for conference proceedings. Submitted manuscripts should be structured as technical papers and may not exceed 6 letter-size (8.5 x 11) pages including figures, tables and references. The initial submission needs to be in pdf format. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Manuscripts must be submitted to the submission online system EasyChair no later than the indicated submission deadline. Please register for an account as author if you do not already have one. If you cannot access the submission website or have difficulties completing your submission, please contact the workshop chairs for assistance.
All papers will be reviewed by at least 3 independent reviewers from the international program committee. Papers will be selected based on their originality, their interest for the research community, the quality of the use-case description, the description of the technical solution, the impact of the application and/or technical description and the status of the work.