Performance and an aspect of it, energy efficiency, has become a key issue in both high performance and embedded computing. The objective of the 2nd TAPEMS International Workshop on Theoretical Approaches to Performance Evaluation, Modeling and Simulation is to bring together researchers and practitioners from academia and industry to discuss current advances and trends in theoretical approaches to the performance evaluation, modeling and analysis of parallel applications and algorithms on multicore clusters and heterogeneous platforms, including simulation. Three main areas are considered:

  1. Performance modeling and evaluation. We pursue contributions on methodologies, metrics, formalisms and tools for the performance prediction and analysis of any subsystem of current machines, such as processor, communications, memory and I/O.
  2. Modeling energy efficiency of communication runtimes. Power is considered the major impediment in designing the next-generation exascale systems, particularly affected by the cost of the communications. Current communication performance models as LogGP predict communication completion times. We look for links between communication performance modeling in terms of both time and consumed energy.
  3. Heterogeneous computing systems. Submissions in this area are encouraged to model workload and communication in order to optimize energy and performance in heterogeneous computing.

The workshop will be organized by the University of Extremadura, and will be held by the CCGrid 2017 conference, organized by University Carlos III, Madrid – Informatics Department, Computer Architecture and Technology.

The list of topics for this workshop include (but not limited to):

  • Performance modeling, prediction and optimization of parallel algorithms and applications.
  • Performance modeling and evaluation of communications in parallel applications.
  • Theoretical strategies, methodologies and application of the theoretical aspects to the improvement of the performance.
  • Performance analysis of parallel architectures and applications.
  • Performance modeling and simulation of parallel algorithms and applications on heterogeneous systems.
  • Performance modeling, prediction and optimization of communications, algorithms and applications on heterogeneous systems.
  • Theoretical and practical approaches for load balancing on heterogeneous platforms.
  • Performance evaluation and modeling of big data techniques.
  • Theoretical and practical approaches to reduce the energy consumption in parallel systems.
  • Modeling, prediction and measurement of energy consumption on parallel platforms.
  • Modeling and analysis of energy consumption in relation to performance.
  • Benchmarking and simulation of energy consumption in parallel applications on parallel and heterogeneous architectures.
  • Application of the models to applications in different scientific fields.