You must register to attend the conference, although registration fees have been waived. ISC plans to make conference talks available for registrants for 14 days following the end of the event. Visit the ISC website to register.
The SODALITE project envisages a solution able to support Digital Transformation of European Industry through:
- increasing design and runtime effectiveness of software-defined infrastructures, to ensure high-performance execution over dynamic heterogeneous execution environments.
- increasing simplicity of modelling applications and infrastructures, to improve manageability, collaboration, and time to market.
The high-performance execution we envision, as governed by SODALITE, enables developers to describe their applications once, using high level semantic abstractions and targeting generic abstracted execution platform to bring-up a runtime bootstrap environment.
Through its virtual booth, SODALITE will be holding a webinar on June 24 at 10:00 CET that will include presentations of the project's technologies through a series of demonstration videos. The virtual booth also offers a poster and opportunities to interact with SODALITE team members.
PhD Forum Poster
Monday, June 22, 5:00 PM
Predictive Modeling Supported Collective I/O Auto-tuning
Author: Ayse Bagbaba
In this study, a predictive modeling supported collective I/O auto-tuning solution for engineering applications is presented that can be understood by engineers or scientists with little knowledge of parallel I/O without any post-processing step. The auto-tuning solution is implemented upon the MPI-IO library to be compatible with MPI based engineering applications, and is portable to different HPC platforms as well.
Project Poster Presentations
Tuesday, June 23, 4:00 PM
Hidalgo: HPC and Big Data Technologies for Global Challenges
Understanding major global challenges (GCs) as well as their underlying parameters is a vital issue in our modern world. The importance of assisted decision making by addressing global, multi-dimensional problems is more important than ever. To predict the impact of global decisions with their dependencies, we need an accurate problem representation and a systemic analysis. To achieve this, HiDALGO enables highly accurate simulations, data analytics and data visualization, and also provides knowledge on how to integrate the various workflows as well as the corresponding data. Our project aims to bring together the HPC, HPDA, and Global Systems Science (GSS) communities in order to address GCs and bridge the gap between traditional HPC and data-centric computation. go to poster presentation.
Tuesday, June 23, 4:00 PM
TaLPas: Task-Based Load Balancing and Autotuning in Particle Simulations
TaLPas provides a solution to fast and robust simulation of many, inter-dependent particle systems in peta- and exascale supercomputing environments. This will be beneficial for a wide range of applications. TaLPas focuses on sampling in molecular dynamics (rare event sampling, sampling of equations of state, etc.). On this poster, we discuss latest work in the project that has just entered its final phase. We discuss the integration of the auto-tuning library AutoPas in the MD code ls1 mardyn and its use in massively parallel, load-balanced simulations. Furthermore, we outline the application of the TaLPas workflow manager for MD sampling in adsorption processes, including latest developments on performance prediction. In addition, visualization aspects are addressed.