Marcus Jägemar
Marcus Jägemar
Ericsson, Mälardalen University
Verified email at ericsson.com
Title
Cited by
Cited by
Year
Bandwidth Measurement using Performance Counters for Predictable Multicore Software
R Inam, M Sjödin, J Marcus
192012
Towards feedback-based generation of hardware characteristics
M Jägemar, S Eldh, A Ermedahl, B Lisper
7th International Workshop on Feedback Computing, 2012
132012
Testing performance-isolation in multi-core systems
J Danielsson, T Seceleanu, M Jägemar, M Behnam, M Sjödin
2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC …, 2019
112019
Measurement-based evaluation of data-parallelism for OpenCV feature-detection algorithms
J Danielsson, M Jägemar, M Behnam, M Sjödin, T Seceleanu
2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC …, 2018
102018
A scheduling architecture for enforcing quality of service in multi-process systems
M Jägemar, A Ermedahl, S Eldh, M Behnam
2017 22nd IEEE International Conference on Emerging Technologies and Factory …, 2017
102017
Cognitively Sustainable ICT with Ubiquitous Mobile Services-Challenges and Opportunities
M Jägemar, G Dodig-Crnkovic
2015 IEEE/ACM 37th IEEE International Conference on Software Engineering 2 …, 2015
102015
Identifying Evolution Problems for Large Long Term Industrial Evolution Systems
D Hallmans, M Jagemar, S Larsson, T Nolte
IEEE 38th International Computer Software and Applications Conference …, 2014
72014
Run-time cache-partition controller for multi-core systems
J Danielsson, M Jägemar, M Behnam, T Seceleanu, M Sjödin
IECON 2019-45th Annual Conference of the IEEE Industrial Electronics Society …, 2019
62019
Automatic message compression with overload protection
M Jägemar, S Eldh, A Ermedahl, B Lisper
Journal of Systems and Software 121, 209-222, 2016
52016
Utilizing Hardware Monitoring to Improve the Performance of Industrial Systems
M Jägemar
Mälardalen University, 2016
42016
Adaptive Online Feedback Controlled Message Compression
M Jagemar, S Eldh, A Ermedahl, B Lisper
Computer Software and Applications Conference (COMPSAC), 2014
42014
Resource Depedency Analysis in Multi-Core Systems
J Danielsson, T Seceleanu, M Jägemar, M Behnam, M Sjödin
2020 IEEE 44th Annual Computers, Software, and Applications Conference …, 2020
32020
Technical Report: Feedback-Based Generation of Hardware Characteristics
M Jägemar, S Eldh, A Ermedahl, B Lisper
system 13 (19), 20, 2012
32012
Process scheduling in a processing system having at least one processor and shared hardware resources
M Jägemar, E Sigrid, A Ermedahl
US Patent App. 16/090,079, 2020
22020
Mallocpool: Improving Memory Performance Through Contiguously TLB Mapped Memory
M Jägemar
2018 IEEE 23rd International Conference on Emerging Technologies and Factory …, 2018
22018
Investigating execution-characteristics of feature-detection algorithms
J Danielsson, M Jägemar, M Behnam, M Sjödin
2017 22nd IEEE International Conference on Emerging Technologies and Factory …, 2017
22017
Automatic Multi-Core Cache Characteristics Modelling
M Jägemar, S Eldh, A Ermedahl, B Lisper
MCC13-Sixth Swedish Workshop on Multicore Computing, November 25-26, 2013 …, 2013
22013
LLM-shark–A Tool for Automatic Resource-boundness Analysis and Cache Partitioning Setup
J Danielsson, T Seceleanu, M Jägemar, M Behnam, M Sjödin
2021 IEEE 45th Annual Computers, Software, and Applications Conference …, 2021
2021
Modelling Application Cache Behavior using Regression Models
J Danielsson, J Suuronen, M Jägemar, T Seceleanu, M Behnam, ...
2021 IEEE 45th Annual Computers, Software, and Applications Conference …, 2021
2021
Towards Automatic Application Fingerprinting Using Performance Monitoring Counters
S Imtiaz, J Danielsson, M Behnam, G Capannini, J Carlson, M Jägemar
7th Conference on the Engineering of Computer Based Systems, 1-2, 2021
2021
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Articles 1–20