Clemens Grelck

About Clemens Grelck

Clemens Grelck, With an exceptional h-index of 23 and a recent h-index of 10 (since 2020), a distinguished researcher at Universiteit van Amsterdam, specializes in the field of programming languages, compilers, runtime systems, multi/many-core, resource-aware computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Lifetime Estimation for Core-Failure Resilient Multi-Core Processors

Change of plans: optimizing for power, reliability and timeliness for cost-conscious real-time systems

Energy-and Time-aware Coordination for Multi-core Cyber-physical Systems

GCN-based reinforcement learning approach for scheduling DAG applications

Automating Library Migrations with Error Prone and Refaster

The teamplay project: Analysing and optimising time, energy, and security for cyber-physical systems

The admorph approach for adaptively morphing embedded systems

Strategy Switching: Smart Fault-Tolerance for Weakly-Hard Resource-Constrained Real-Time Applications

Clemens Grelck Information

University

Position

Associate Professor

Citations(all)

1758

Citations(since 2020)

360

Cited By

1713

hIndex(all)

23

hIndex(since 2020)

10

i10Index(all)

49

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Clemens Grelck Skills & Research Interests

programming languages

compilers

runtime systems

multi/many-core

resource-aware computing

Top articles of Clemens Grelck

Lifetime Estimation for Core-Failure Resilient Multi-Core Processors

2023/12/18

Anuj Pathania
Anuj Pathania

H-Index: 13

Clemens Grelck
Clemens Grelck

H-Index: 10

Change of plans: optimizing for power, reliability and timeliness for cost-conscious real-time systems

2023/9/1

Clemens Grelck
Clemens Grelck

H-Index: 10

Energy-and Time-aware Coordination for Multi-core Cyber-physical Systems

SusTrainable: Promoting Sustainability as a Fundamental Driver in Software Development Training and Education

2023/7

Clemens Grelck
Clemens Grelck

H-Index: 10

GCN-based reinforcement learning approach for scheduling DAG applications

2023/6/1

Julius Roeder
Julius Roeder

H-Index: 2

Clemens Grelck
Clemens Grelck

H-Index: 10

Automating Library Migrations with Error Prone and Refaster

ACM SIGAPP Applied Computing Review

2023/4/20

Clemens Grelck
Clemens Grelck

H-Index: 10

The teamplay project: Analysing and optimising time, energy, and security for cyber-physical systems

2023/4/17

The admorph approach for adaptively morphing embedded systems

Ada User Journal

2023

Strategy Switching: Smart Fault-Tolerance for Weakly-Hard Resource-Constrained Real-Time Applications

2022/9/26

Clemens Grelck
Clemens Grelck

H-Index: 10

Can we trust our energy measurements? A study on the Odroid-XU4

The 15th Annual Workshop on Operating Systems Platforms for Embedded Real-Time Applications

2022

Towards automated library migrations with error prone and refaster

2022/4/25

Clemens Grelck
Clemens Grelck

H-Index: 10

Can we trust our energy measurements?

The 15th Annual Workshop on Operating Systems Platforms for Embedded Real-Time Applications

2022

Task-level Redundancy vs Instruction-level Redundancy against Single Event Upsets in Real-time DAG scheduling

2021/12/20

Clemens Grelck
Clemens Grelck

H-Index: 10

Scheduling dags of multi-version multi-phase tasks on heterogeneous real-time systems

14th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC 2021), Singapore. IEEE

2021

Julius Roeder
Julius Roeder

H-Index: 2

Clemens Grelck
Clemens Grelck

H-Index: 10

YASMIN: a real-time middleware for COTS heterogeneous platforms

2021/12/6

Sebastian Altmeyer
Sebastian Altmeyer

H-Index: 9

Clemens Grelck
Clemens Grelck

H-Index: 10

Energy-aware scheduling of multi-version tasks on heterogeneous real-time systems

2021/3/22

Strategy Switching: Smart Fault-tolerance for Resource-constrained Real-time Applications

2021

Clemens Grelck
Clemens Grelck

H-Index: 10

Q-learning for Statically Scheduling DAGs

2020/12/1

Julius Roeder
Julius Roeder

H-Index: 2

Clemens Grelck
Clemens Grelck

H-Index: 10

PReGO: a generative methodology for satisfying real-time requirements on cots-based systems: Definition and experience report

2020/11/16

Clemens Grelck
Clemens Grelck

H-Index: 10

Resource-aware data parallel array processing

International Journal of Parallel Programming

2020/8

Clemens Grelck
Clemens Grelck

H-Index: 10

Towards Facilitating Resilience in Cyber-Physical Systems using Coordination Languages.

2020/7/24

Clemens Grelck
Clemens Grelck

H-Index: 10

See List of Professors in Clemens Grelck University(Universiteit van Amsterdam)

Co-Authors

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