Modelling and Simulation of Data Intensive Systems special session (HiPMoS - DIS)

Mauro Iacono
Marco Gribaudo

In today's data intensive computing, the application developers need abstract simulation models to expose expected hardware features (e.g., SIMD, lightweight cores, or specialized functional units) and performance targets in terms of hierarchical parallelism, scale, data movement, computational intensity, bandwidths, latencies, and storage capacities of possible data intensive applications and systems, as well as non-performance objectives such as power and resilience. System architects need architecture-independent models of important applications that they can use to identify, understand, and evaluate application behavior on these proposed architectures. These abstractions must exist across the modeling, simulation, and measurement infrastructures.
Modeling and simulation techniques must provide predictive and optimization capabilities at runtime. This will require the development of rapid evaluation techniques as well as interfaces for incorporating models into the layers within the software stack. In addition to dynamic model creation, models must be actionable. That is, the models must enable appropriate levels of the software stack to react to the instantaneous state of the system, both hardware and software, and provide the necessary information that can be used to guide and optimize system operation.
Topics of interest for this session include but are not limited to the following:

  • Infrastructures and middleware as enablers for modelling and simulation of data intensive systems
  • Evaluation of programming models supporting data intensive applications
  • Runtime systems supporting modelling of data intensive applications
  • Productivity tools for data intensive applications
  • Development and generation of machine and application abstractions for data intensive computing
  • Dynamic and actionable modeling of data intensive systems
  • Standards, integration and interoperability of modelling and simulation methodologies and tools for data intensive computing

Committee members
Piotr Arabas, Warsaw University of Technology and NASK, Poland
Enrico Barbierato, Seconda Università degli Studi di Napoli, Italy
Nik Bessis, University of Derby, United Kingdom
Aleksander Byrski, AGH University of Science and Technology, Poland
Valentin Cristea, University Politehnica of Bucharest, Romania
Gregoire Danoy, University of Luxembourg, Luxembourg
Roman Debski, AGH University of Science and Technology, Poland
Ciprian Dobre, University Politehnica of Bucharest, Romania
Daniel Grzonka, Cracow University of Technology, Poland
Catalin Leordeanu. University Politehnica of Bucharest, Romania
Alexander H. Levis, George Mason University, USA
Michal Marks, Research and Academic Computer Network NASK, Poland
Stefano Marrone, Seconda Università degli Studi di Napoli, Italy
Djamel Eddine Saidouni, MISC Laboratory, University Constantine 2, Algeria
Ewa Niewiadomska-Szynkiewicz, Warsaw University of Technology and NASK, Poland
Magdalena Szmajduch, Cracow Univ. of Technology, Poland
Florin Pop, University Politehnica of Bucharest, Romania
Stelios Sotiriadis,Technical University of Crete, Greece
Jie Tao, Steinbuch Centre for Computing, Karlsruhe Institute of Technology, Germany
Armin Zimmermann, TU Ilmenau, Germany