Dates : le 14 Juin 2024 de 9:00 à 15:10
Lieu : IRT Saint Exupéry, Toulouse, France
Organisateurs : Thomas CARLE, Eric JENN et Juan Maria RIVAS
Thématiques : Calcul embarqué haute performance et Systèmes Robustes Fiables et Sécurisés
Liliana Cucu-Grosjean, Senior researcher, INRIA Paris (Kopernic team), co-funder of Statinf:
Statistical, stochastic or probabilistic (worst-case) execution time – what impact on the multicore time composability?
Abstract:
originally proposed within the real-time scheduling theory, the
execution time of a program has received its stochastic definition in
late ’90s before evolving to probabilistic worst-case execution time
definition. Inspired by the static timing analysis, the probabilistic
worst-case execution time estimation has been built on the composition
of probability distribution at block level of programs, regardless of
mathematical properties required to validate the correctness of obtained
estimations. While initial research effort has been dedicated to model
dependences between probability distributions of blocks for programs
executed on single-core processors, statistical approaches have gained
more interest for multicore processors as they allow building first
theoretical bases for the validation of estimated worst-case execution
times.
Tomasz Kloda, LAAS-CNRS, Toulouse, France: Memory-centric scheduling for phased execution models on multi-core platforms
Federico Aromolo, Pisa University, Pisa, Italy: Timing Analysis of Parallel and Accelerated Software with Event-Driven Delay-Induced Tasks
Filippo Muzzini, UniMORE, Modena, Italy: Resource Contention Analysis in GPU-Accelerated Embedded Platforms
Frederic Bonamy, Thales Avionics, Toulouse, France: Multicore Challenges in Avionics Applications
9:00am: Keynote from Liliana Cucu-Grosjean (PDF)
10:00am: Break
10:15am: Filippo Muzzini: Resource Contention Analysis in GPU-Accelerated Embedded Platforms (PDF)
11:05am: Frederic Bonamy: Multicore Challenges in Avionics Applications (PDF)
12:00pm: Lunch break
1:30pm: Federico Aromolo: Timing Analysis of Parallel and Accelerated Software with Event-Driven Delay-Induced Tasks (PDF)
2:20pm: Tomasz Kloda: Memory-centric scheduling for phased execution models on multi-core platforms (PDF)
3:10pm: End of the workshop
The design and the implementation of time-critical applications upon multi-core processors are considered. Multi-core processors have the potential to offer high computing power. Unfortunately, their extensive use of shared resources (e.g. caches, DRAM, buses, etc.) makes the design and the implementation difficult to predict — especially in situations where hard real-time constraints must be satisfied. Recent works show that an important challenge is to design a precise and scalable timing analysis. To address this challenge the research community considers closely both sides of the system: software and hardware. The aim of this co-design approach is therefore to guarantee scalability, precision and low complexity of the solution without compromising flexible efficient use of resources. The solution must be tailored for the target application and platform. In particular by identifying the shared resources (memory, bus, cache) and by reducing the complexity based on interference delay using, for instance, a tailored mapping/scheduling, bandwidth regulator. The solution must be also based on a good use of the hardware architecture (memory banks, cache, communication media) with techniques like physical/temporal partitioning to obtain a precise solution.