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Marcus Jägemar
Marcus Jägemar
Ericsson, Mälardalen University
Verified email at ericsson.com
Title
Cited by
Cited by
Year
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
212019
Bandwidth Measurement using Performance Counters for Predictable Multicore Software
R Inam, M Sjödin, J Marcus
212012
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
172017
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
142015
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
122018
Towards feedback-based generation of hardware characteristics
M Jägemar, S Eldh, A Ermedahl, B Lisper
7th International Workshop on Feedback Computing, 2012
122012
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
92014
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
72019
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
62020
Automatic message compression with overload protection
M Jägemar, S Eldh, A Ermedahl, B Lisper
Journal of Systems and Software 121, 209-222, 2016
62016
Automatic platform-independent monitoring and ranking of hardware resource utilization
S Imtiaz, J Danielsson, M Behnam, G Capannini, J Carlson, M Jägemar
2021 26th IEEE international conference on emerging technologies and factory …, 2021
52021
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
Fault management framework and multi-layer recovery methodology for resilient system
C Vitucci, D Sundmark, M Jägemar, J Danielsson, A Larsson, T Nolte
2022 6th International Conference on System Reliability and Safety (ICSRS …, 2022
32022
A reliability-oriented faults taxonomy and a recovery-oriented methodological approach for systems resilience
C Vitucci, D Sundmark, M Jägemar, J Danielsson, A Larsson, T Nolte
2022 IEEE 46th Annual Computers, Software, and Applications Conference …, 2022
32022
Technical Report: Feedback-Based Generation of Hardware Characteristics
M Jägemar, S Eldh, A Ermedahl, B Lisper
system 13 (19), 20, 2012
32012
Automatic segmentation of resource utilization data
S Imtiaz, M Behnam, G Capannini, J Carlson, M Jägemar
2022 IEEE 1st Industrial Electronics Society Annual On-Line Conference …, 2022
22022
Process scheduling in a processing system having at least one processor and shared hardware resources
M Jägemar, E Sigrid, A Ermedahl
US Patent 11,216,301, 2022
22022
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
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