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The Energy/Frequency Convexity Rule: Modeling and Experimental Validation on Mobile Devices

Parallel Processing and Applied Mathematics, p.793-803

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Modeling and simulation of power consumption and execution times for real-time tasks on embedded heterogeneous architectures

SIGBED review, 2019-11, Vol.16 (3), p.51-56

2019

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Combining Automated Measurement-Based Cost Modeling With Static Worst-Case Execution-Time and Energy-Consumption Analyses

IEEE embedded systems letters, 2019-06, Vol.11 (2), p.38-41

2019

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Sparse Measurement Algorithm Execution Time Prediction on Heterogeneous Edge Devices for Early Stage Software-Hardware Matching

2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS), 2024, p.1-8

2024

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Data‐aware tuning of scientific applications with model‐based autotuning

Concurrency and computation, 2017-02, Vol.29 (4), p.np-n/a

Lang, Jens

2017

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A framework for the application of metaheuristics to tasks-to-processors assignation problems

The Journal of supercomputing, 2012-11, Vol.62 (2), p.698-723

2012

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Multi-Agent Imitation Learning for Pervasive Edge Computing: A Decentralized Computation Offloading Algorithm

IEEE transactions on parallel and distributed systems, 2021-02, Vol.32 (2), p.411-425

2021

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Digitaler Retrofit: von Maschinen und Produktionsanlagen

1. Aufl., 2022

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Learning Driven Computation Offloading for Asymmetrically Informed Edge Computing

IEEE transactions on parallel and distributed systems, 2019-08, Vol.30 (8), p.1802-1815

2019

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Execution of Partial State Machine Models

IEEE transactions on software engineering, 2022-03, Vol.48 (3), p.951-972

2022

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On the Asynchrony of Computation Offloading in Multi-User MEC Systems

IEEE transactions on communications, 2020-12, Vol.68 (12), p.7746-7761

2020

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AI different approaches and ANFIS data mining: A novel approach to predicting early employment readiness in middle eastern nations

International journal of data and network science (Print), 2023-01, Vol.7 (3), p.1267-1282

2023

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A Spiking Neural Simulator Integrating Event-Driven and Time-Driven Computation Schemes Using Parallel CPU-GPU Co-Processing: A Case Study

IEEE transaction on neural networks and learning systems, 2015-07, Vol.26 (7), p.1567-1574

2015

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Computing Execution Times with eXecution Decision Diagrams in the Presence of Out-Of-Order Resources

IEEE transactions on computer-aided design of integrated circuits and systems, 2023-11, Vol.42 (11), p.1-1

2023

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Task Offloading Decision in Fog Computing System

China communications, 2017-11, Vol.14 (11), p.59-68

2017

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Predicting Workflow Task Execution Time in the Cloud Using A Two-Stage Machine Learning Approach

IEEE transactions on cloud computing, 2020-01, Vol.8 (1), p.256-268

2020

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Zero-Jitter Chains of Periodic LET Tasks via Algebraic Rings

IEEE transactions on computers, 2023-11, Vol.72 (11), p.1-14

2023

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Neural Dynamics for Computing Perturbed Nonlinear Equations Applied to ACP-Based Lower Limb Motion Intention Recognition

IEEE transactions on systems, man, and cybernetics. Systems, 2022-08, Vol.52 (8), p.5105-5113

2022

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An Internet of Things and Fuzzy Markup Language Based Approach to Prevent the Risk of Falling Object Accidents in the Execution Phase of Construction Projects

Sensors (Basel, Switzerland), 2021-09, Vol.21 (19), p.6461

2021

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JetEsti: A New DLT Job Scheduling Simulator Based on Fine-Grained Process Modeling

2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS), 2023, p.1-2

2023

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GNN-MiCS: Graph Neural-Network-Based Bounding Time in Embedded Mixed-Criticality Systems

IEEE embedded systems letters, 2024-09, p.1-1

2024

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Joint Resource Allocation to Minimize Execution Time of Federated Learning in Cell-Free Massive MIMO

IEEE internet of things journal, 2022-11, Vol.9 (21), p.21736-21750

2022

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Predictive Execution of Parallel Simulations in Hard Real-Time Systems

IEEE transactions on computers, 2022-12, Vol.71 (12), p.3227-3241

2022

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WCET Analysis Based on Micro-Architecture Modeling for Embedded System Security

Applied sciences, 2024-08, Vol.14 (16), p.7277

2024

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Optimizing Speculative Execution in Spark Heterogeneous Environments

IEEE transactions on cloud computing, 2022-01, Vol.10 (1), p.568-582

2022

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The Energy/Frequency Convexity Rule: Modeling and Experimental Validation on Mobile Devices

Modeling and simulation of power consumption and execution times for real-time tasks on embedded heterogeneous architectures

Combining Automated Measurement-Based Cost Modeling With Static Worst-Case Execution-Time and Energy-Consumption Analyses

Sparse Measurement Algorithm Execution Time Prediction on Heterogeneous Edge Devices for Early Stage Software-Hardware Matching

Data‐aware tuning of scientific applications with model‐based autotuning

A framework for the application of metaheuristics to tasks-to-processors assignation problems

Multi-Agent Imitation Learning for Pervasive Edge Computing: A Decentralized Computation Offloading Algorithm

Digitaler Retrofit: von Maschinen und Produktionsanlagen

Learning Driven Computation Offloading for Asymmetrically Informed Edge Computing

Execution of Partial State Machine Models

On the Asynchrony of Computation Offloading in Multi-User MEC Systems

AI different approaches and ANFIS data mining: A novel approach to predicting early employment readiness in middle eastern nations

A Spiking Neural Simulator Integrating Event-Driven and Time-Driven Computation Schemes Using Parallel CPU-GPU Co-Processing: A Case Study

Computing Execution Times with eXecution Decision Diagrams in the Presence of Out-Of-Order Resources

Task Offloading Decision in Fog Computing System

Predicting Workflow Task Execution Time in the Cloud Using A Two-Stage Machine Learning Approach

Zero-Jitter Chains of Periodic LET Tasks via Algebraic Rings

Neural Dynamics for Computing Perturbed Nonlinear Equations Applied to ACP-Based Lower Limb Motion Intention Recognition

An Internet of Things and Fuzzy Markup Language Based Approach to Prevent the Risk of Falling Object Accidents in the Execution Phase of Construction Projects

JetEsti: A New DLT Job Scheduling Simulator Based on Fine-Grained Process Modeling

GNN-MiCS: Graph Neural-Network-Based Bounding Time in Embedded Mixed-Criticality Systems

Joint Resource Allocation to Minimize Execution Time of Federated Learning in Cell-Free Massive MIMO

Predictive Execution of Parallel Simulations in Hard Real-Time Systems

WCET Analysis Based on Micro-Architecture Modeling for Embedded System Security

Optimizing Speculative Execution in Spark Heterogeneous Environments

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