Call for Papers

Motivation

The design of Real-Time and Embedded Systems is, by definition, subject to constraints:

  • timing of the input, output, or both;
  • minimal quality of the delivered output/service;
  • limited energy, power, or processing/communication resources, and more.

The design space exploration is often driven by expert designers who make the design decisions based on their experience. Such a design phase, however, can be more systematically modeled as an optimization problem, as long as the goal of the design becomes a cost to be minimized. This enables the usage of standard solvers of optimization problems. The complexity of such a phase, however, is affected by several dimensions, including:

  • the size of the problem (e.g. the sample automotive application of the WATERS 2017 challenge composed by ~1000 functions and ~10000 shared variables);
  • the accuracy of the model for the workload and the computing platform;
  • the tolerable degree of approximation of the constraints.

This workshop aims at being a venue in which researchers from the academia and industry working on real-time constraints, design-space exploration, complexity and optimization, meet to share ideas, problems, and solutions.

Topics of Interest

Topics of interest include, but are not limited to:

  • Optimization variables:
    • parameters of tasks (period, execution times, etc.);
    • amount of processing and communication capacity (speed/bandwidth);
    • heterogeneous computing: type/quantity of accelerators (GPU, FPGA elements, etc).
  • Model of the cost of design:
    • borrowed from different application contexts: automotive, avionics, data centers, mobile devices, edge;
    • maximum extensibility of functionalities;
    • maximum battery savings and lifetime.
  • Model of the constraints:
    • schedulability constraints;
    • sensitivity analysis;
    • deadline model: hard/soft/probabilistic constraints;
    • accurate vs. efficient representation of constraints: approximations.
  • Solvers:
    • continuous vs. discrete methods (granularity of discretization);
    • gradient-descent, linear programming (LP), quadratic programming;
    • mixed-integer linear programming (MILP);
    • constraint programming (CP);
    • meta-heuristics: simulated annealing, tabu search, genetic algorithms;
    • efficient problem formulations.

Type of submissions

This workshop seeks a diversified program bridging established results with recent challenges. For this reason, we welcome different types of contributions.

  • Original contributions.
  • Preliminary ideas, not necessarily mature, seeking for feedback from the community.
  • Short versions of previously published research, relevant to the field (we particularly welcome presentations of somebody else work).

To encourage submissions, the format of accepted submission is very lightweight: 4 pages in double column format. Such a page limit is not strict.

Publication of the workshop material

We offer the publication of the accepted contribution on arXiv. The authors are welcome to specify other websites containing material linked to the given presentation (previously published paper, code repositories, etc).

Important Dates

Deadline for contributions (firm): September 3rd, 2023 September 15th, 2023
Notification (firm): October 1st, 2023
Camera-ready deadline (firm): October 15th, 2023
The OPERA Workshop: December 5th, 2023

Submit Here