Hybrid genetic reinforcement learning for generating run-time requirement enforcers
When designing embedded systems, engineers have to consider non-functional
requirements, such as real-time or energy consumption constraints. To enforce or counteract …
requirements, such as real-time or energy consumption constraints. To enforce or counteract …
An integration of autonomic computing with multicore systems for performance optimization in Industrial Internet of Things
The goal of this work is to investigate how the self‐awareness characteristic of autonomic
computing, paired with existing performance optimization rules, may be used in applications …
computing, paired with existing performance optimization rules, may be used in applications …
A learning-based methodology for scenario-aware mapping of soft real-time applications onto heterogeneous mpsocs
Soft real-time streaming applications often process input data that evoke varying workloads
for their tasks. This may lead to high energy consumption or deadline misses in case their …
for their tasks. This may lead to high energy consumption or deadline misses in case their …
[PDF][PDF] RAVEN: reinforcement learning for generating verifiable run-time requirement enforcers for MPSoCs
In embedded systems, applications frequently have to meet non-functional requirements
regarding, eg, real-time or energy consumption constraints, when executing on a given …
regarding, eg, real-time or energy consumption constraints, when executing on a given …
On Transferring Application Mapping Knowledge Between Differing MPSoC Architectures
The mapping of soft real-time applications onto a heterogeneous MPSoC target architecture
is of high importance for meeting deadlines and minimizing secondary objectives like the …
is of high importance for meeting deadlines and minimizing secondary objectives like the …
A Scenario-Based DVFS-Aware Hybrid Application Mapping Methodology for MPSoCs
Sound techniques for mapping soft real-time applications to resources are indispensable for
meeting the application deadlines and minimizing objectives such as energy consumption …
meeting the application deadlines and minimizing objectives such as energy consumption …
[HTML][HTML] Predictable timing behavior of gracefully degrading automotive systems
P Weiss, S Steinhorst - Design Automation for Embedded Systems, 2023 - Springer
Fail-operational behavior of safety-critical software for autonomous driving is essential as
there is no driver available as a backup solution. In a failure scenario, safety-critical tasks …
there is no driver available as a backup solution. In a failure scenario, safety-critical tasks …
Task migration policy for thermal-aware dynamic performance optimization in many-core systems
The steady downsizing of semiconductor technology nodes in recent years has led to a
rapid increase in the density of power consumption on chips which, in turn, renders …
rapid increase in the density of power consumption on chips which, in turn, renders …
E-Mapper: Energy-Efficient Resource Allocation for Traditional Operating Systems on Heterogeneous Processors
Energy efficiency has become a key concern in modern computing. Major processor
vendors now offer heterogeneous architectures that combine powerful cores with energy …
vendors now offer heterogeneous architectures that combine powerful cores with energy …
Flexible Spatio-Temporal Energy-Efficient Runtime Management
R Khasanov, M Dietrich… - 2024 29th Asia and South …, 2024 - ieeexplore.ieee.org
Heterogeneous multi-core architectures, such as Arm's big. LITTLE and DynamIQ, feature
multiple core types with the same ISA but varied performance-energy characteristics. These …
multiple core types with the same ISA but varied performance-energy characteristics. These …