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Språkvelger

Norsk

Magnus Jahre

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Magnus Jahre

Professor
Department of Computer Science
Faculty of Information Technology and Electrical Engineering

magnus.jahre@ntnu.no
+4773593680 +4795222309 IT-bygget, 404, Gløshaugen, Sem Sælands vei 9
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About Research Publications Teaching Media

About

CV

Magnus Jahre is a professor at the Norwegian University of Science and Technology (NTNU). He received his PhD degree from NTNU in 2010 and was an associate professor at NTNU from 2010 to 2021. He has a general interest in computer architecture, and his research currently focuses on performance analysis, ultra-low-power systems, spatial accelerators, Graphics Processing Units (GPUs), processing in memory, and heterogeneous systems. Jahre received a prestigious «Young Research Talents» grant from the Research Council of Norway in 2019, and he has served as member of the Program Committee or External Review Committee of the leading computer architecture conferences ISCA, MICRO and HPCA. He is a senior member of ACM and IEEE as well as member of the HiPEAC European Network of Excellence.

Competencies

  • Compilers
  • Computer architecture
  • Computer technology
  • Graphics processing units
  • Multi-core architectures
  • System Software

Research

The main goal of my research is to contribute to designing faster and more energy-efficient computers. More specifically, I investigate how computer hardware can specialize to the current application – to improve efficiency – while retaining sufficient generality to be efficient across diverse applications – to enable reuse. I am affiliated with the NTNU's Computer Architecture Lab (CAL)

  • Computer Architecture Lab (CAL)
  • Energy Efficient Computing Systems (EECS)

Balancing Compute and Memory Performance in Reconfigurable Accelerators with Analytical Modeling (BAMPAM)

In BAMPAM, we will improve the power-efficiency of tightly integrated reconfigurable accelerators by formulating analytical performance models that enable automatically generating accelerator instances with balanced compute and memory performance.

Publications

  • Chronological
  • By category
  • See all publications in Cristin

2023

  • Koraei, Mostafa; Cebrian, Juan Manuel; Jahre, Magnus. (2023) Near-optimal multi-accelerator architectures for predictive maintenance at the edge. Future generations computer systems. volum 140.
    Academic article

2022

  • Salvesen, Peter; Jahre, Magnus. (2022) LMT: Accurate and Resource-Scalable Slowdown Prediction. IEEE computer architecture letters. volum 21 (2).
    Academic article
  • Zhao, Xia; Eeckhout, Lieven; Jahre, Magnus. (2022) Delegated Replies: Alleviating Network Clogging in Heterogeneous Architectures. IEEE Symposium on High-Performance Computer Architecture (HPCA).
    Academic article

2021

  • Djupdal, Asbjørn; Gottschall, Björn; Ghasemisoumeeh, Fatemeh; Jahre, Magnus. (2021) Lynsyn and LynsynLite: The STHEM Power Measurement Units. Towards Ubiquitous Low-power Image Processing Platforms.
    Academic chapter/article/Conference paper
  • Ghasemisoumeeh, Fatemeh; Jahre, Magnus. (2021) Modeling Periodic Energy-Harvesting Computing Systems. IEEE computer architecture letters. volum 20 (2).
    Academic article
  • Gottschall, Björn; Eeckhout, Lieven; Jahre, Magnus. (2021) TIP: Time-Proportional Instruction Profiling. MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture.
    Academic chapter/article/Conference paper
  • Jahre, Magnus; Göhringer, Diana; Millet, Philippe. (2021) Towards Ubiquitous Low-power Image Processing Platforms. Springer Nature. 2021. ISBN 9783030535315.
    Academic anthology/Conference proceedings
  • Yassin, Yahya Hussain; Jahre, Magnus; Kjeldsberg, Per Gunnar; Aunet, Snorre; Catthoor, Francky. (2021) Fast and Accurate Edge Computing Energy Modeling and DVFS Implementation in GEM5 Using System Call Emulation Mode. Journal of Signal Processing Systems. volum 93 (1).
    Academic article

2020

  • Wang, Lu; Jahre, Magnus; Adileh, Almutaz; Eeckhout, Lieven. (2020) MDM: The GPU Memory Divergence Model. MICRO'53: Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture.
    Academic chapter/article/Conference paper
  • Zhao, Xia; Jahre, Magnus; Eeckhout, Lieven. (2020) HSM: A Hybrid Slowdown Model for Multitasking GPUs. ASPLOS'20: Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems.
    Academic chapter/article/Conference paper
  • Zhao, Xia; Jahre, Magnus; Eeckhout, Lieven. (2020) Selective Replication in Memory-Side GPU Caches. MICRO'53: Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture.
    Academic chapter/article/Conference paper

2019

  • Cebrian, Juan Manuel; Natvig, Lasse; Jahre, Magnus. (2019) Scalability analysis of AVX-512 extensions. The Journal of Supercomputing.
    Academic article
  • Koraei, Mostafa; Fatemi, Omid; Jahre, Magnus. (2019) DCMI: A Scalable Strategy for Accelerating Iterative Stencil Loops on FPGAs. ACM Transactions on Architecture and Code Optimization (TACO). volum 16 (4).
    Academic article
  • Wang, Lu; Jahre, Magnus; Adileh, Almutaz; Wang, Zhiying; Eeckhout, Lieven. (2019) Modeling Emerging Memory-Divergent GPU Applications. IEEE computer architecture letters. volum 18 (2).
    Academic article

2018

  • Jahre, Magnus; Eeckhout, Lieven. (2018) GDP: Using Dataflow Properties to Accurately Estimate Interference-Free Performance at Runtime. IEEE Symposium on High-Performance Computer Architecture (HPCA). volum 2018-February.
    Academic article
  • Yuxi, Liu; Zhao, Xia; Jahre, Magnus; Wang, Zhenlin; Wang, Xiaolin; Lou, Yingwei; Eeckhout, Lieven. (2018) Get Out of the Valley: Power-Efficient Address Mapping for GPUs. International Symposium on Computer Architecture.
    Academic article

2017

  • Umuroglu, Yaman; Fraser, Nicholas J.; Gambardella, Giulio; Blott, Michaela; Leong, Philip W.; Jahre, Magnus; Vissers, Kees. (2017) FINN: A Framework for Fast, Scalable Binarized Neural Network Inference. Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays.
    Academic chapter/article/Conference paper

2016

  • Reissmann, Nico; Falch, Thomas Løfsgaard; Bjørnseth, Benjamin Andreassen; Bahmann, Helge; Meyer, Jan Christian; Jahre, Magnus. (2016) Efficient control flow restructuring for GPUs. International Conference on High Performance Computing & Simulation (HPCS).
    Academic chapter/article/Conference paper
  • Umuroglu, Yaman; Jahre, Magnus. (2016) Random access schemes for efficient FPGA SpMV acceleration. Microprocessors and Microsystems: Embedded Hardware Design (MICPRO). volum 47B.
    Academic article

2015

  • Bahmann, Helge; Reissmann, Nico; Jahre, Magnus; Meyer, Jan Christian. (2015) Perfect Reconstructability of Control Flow from Demand Dependence Graphs. ACM Transactions on Architecture and Code Optimization (TACO). volum 11 (4).
    Academic article
  • Cebrian, Juan; Jahre, Magnus; Natvig, Lasse. (2015) ParVec: vectorizing the PARSEC benchmark suite. Computing. volum 97 (11).
    Academic article
  • Umuroglu, Yaman; Jahre, Magnus. (2015) A Vector Caching Scheme for Streaming FPGA SpMV Accelerators. Applied Reconfigurable Computing.
    Academic chapter/article/Conference paper
  • Umuroglu, Yaman; Morrison, Donn; Jahre, Magnus. (2015) Hybrid Breadth-First Search on a Single-Chip FPGA-CPU Heterogeneous Platform. 25th International Conference on Field Programmable Logic and Applications, FPL 2015, London, United Kingdom, September 2-4, 2015.
    Academic chapter/article/Conference paper

2014

  • Cebrian, Juan; Jahre, Magnus; Natvig, Lasse. (2014) Optimized Hardware for Suboptimal Software: The Case for SIMD-aware Benchmarks. IEEE INTERNATIONAL SYMPOSIUM ON PERFORMANCE ANALYSIS OF SYSTEMS AND SOFTWARE.
    Academic chapter/article/Conference paper
  • Jahre, Magnus. (2014) Graph-based Performance Accounting for Chip Multiprocessor Memory Systems. Proceedings of the 23rd International Conference on Parallel Architectures and Compilation Techniques (PACT).
    Academic chapter/article/Conference paper
  • Nikitin, Nikita; Jahre, Magnus. (2014) Patterned Heterogeneous CMPs: The Case for Regularity-Driven System-Level Synthesis. 2014 IEEE Computer Society Annual Symposium on VLSI (ISVLSI'14).
    Academic chapter/article/Conference paper
  • Umuroglu, Yaman; Jahre, Magnus. (2014) An Energy Efficient Column-Major Backend for FPGA SpMV Accelerators. 2014 32nd IEEE International Conference on Computer Design (ICCD).
    Academic chapter/article/Conference paper

2013

  • Iordan, Alexandru Ciprian; Jahre, Magnus; Natvig, Lasse. (2013) Challenges of Reducing Cycle-Accurate Simulation Time for TBP Applications. Procedia Computer Science. volum 18.
    Academic article
  • Iordan, Alexandru Ciprian; Jahre, Magnus; Natvig, Lasse. (2013) On the Energy Footprint of Task Based Parallel Applications. Proceedings of the 2013 International Conference on High Performance Computing & Simulation (HPCS 2013).
    Academic chapter/article/Conference paper

2012

  • Iordan, Alexandru Ciprian; Jahre, Magnus; Natvig, Lasse. (2012) Towards Efficient Simulation of Task Based Parallel Applications. Norsk informatikkonferanse NIK 2012; Universitetet i Nordland 19 – 21 november 2012.
    Academic chapter/article/Conference paper

2011

  • Grannæs, Marius; Jahre, Magnus; Natvig, Lasse. (2011) Exploring the Prefetcher/Memory Controller Design Space: An Opportunistic Prefetch Scheduling Strategy. Lecture Notes in Computer Science (LNCS). volum 6566.
    Academic article
  • Grannæs, Marius; Jahre, Magnus; Natvig, Lasse. (2011) Storage Efficient Hardware Prefetching using Delta-Correlating Prediction Tables. Journal of Instruction-Level Parallelism. volum 13.
    Academic article

2010

  • Grannæs, Marius; Jahre, Magnus; Natvig, Lasse. (2010) Multi-level Hardware Prefetching Using Low Complexity Delta Correlating Prediction Tables with Partial Matching. Proceedings of the 5th International Conference on High Performance Embedded Architectures and Compilers (HiPEAC).
    Academic chapter/article/Conference paper
  • Grannæs, Marius; Jahre, Magnus; Natvig, Lasse. (2010) Multi-level Hardware Prefetching Using Low Complexity Delta Correlating Prediction Tables with Partial Matching. Lecture Notes in Computer Science (LNCS). volum 5 (1).
    Academic article
  • Jahre, Magnus; Grannæs, Marius; Natvig, Lasse. (2010) DIEF: An Accurate Interference Feedback Mechanism for Chip Multiprocessor Memory Systems. Lecture Notes in Computer Science (LNCS).
    Academic article
  • Jahre, Magnus; Natvig, Lasse. (2010) Managing Shared Resources in Chip Multiprocessor Memory Systems. 2010. ISBN 978-82-471-2287-7. Doktoravhandlinger ved NTNU (159).
    Doctoral dissertation

2009

  • Jahre, Magnus; Grannæs, Marius; Natvig, Lasse. (2009) A Quantitative Study of Memory System Interference in Chip Multiprocessor Architectures. 11th IEEE International Conference on High Performance Computing and Communications (HPCC 2009).
    Academic chapter/article/Conference paper
  • Jahre, Magnus; Natvig, Lasse. (2009) A High Performance Adaptive Miss Handling Architecture for Chip Multiprocessors. Lecture Notes in Computer Science (LNCS).
    Academic article
  • Jahre, Magnus; Natvig, Lasse. (2009) A Light-Weight Fairness Mechanism for Chip Multiprocessor Memory Systems. Proceedings of the 6th ACM Conference on Computing Frontiers.
    Academic chapter/article/Conference paper

Journal publications

  • Koraei, Mostafa; Cebrian, Juan Manuel; Jahre, Magnus. (2023) Near-optimal multi-accelerator architectures for predictive maintenance at the edge. Future generations computer systems. volum 140.
    Academic article
  • Salvesen, Peter; Jahre, Magnus. (2022) LMT: Accurate and Resource-Scalable Slowdown Prediction. IEEE computer architecture letters. volum 21 (2).
    Academic article
  • Zhao, Xia; Eeckhout, Lieven; Jahre, Magnus. (2022) Delegated Replies: Alleviating Network Clogging in Heterogeneous Architectures. IEEE Symposium on High-Performance Computer Architecture (HPCA).
    Academic article
  • Ghasemisoumeeh, Fatemeh; Jahre, Magnus. (2021) Modeling Periodic Energy-Harvesting Computing Systems. IEEE computer architecture letters. volum 20 (2).
    Academic article
  • Yassin, Yahya Hussain; Jahre, Magnus; Kjeldsberg, Per Gunnar; Aunet, Snorre; Catthoor, Francky. (2021) Fast and Accurate Edge Computing Energy Modeling and DVFS Implementation in GEM5 Using System Call Emulation Mode. Journal of Signal Processing Systems. volum 93 (1).
    Academic article
  • Cebrian, Juan Manuel; Natvig, Lasse; Jahre, Magnus. (2019) Scalability analysis of AVX-512 extensions. The Journal of Supercomputing.
    Academic article
  • Koraei, Mostafa; Fatemi, Omid; Jahre, Magnus. (2019) DCMI: A Scalable Strategy for Accelerating Iterative Stencil Loops on FPGAs. ACM Transactions on Architecture and Code Optimization (TACO). volum 16 (4).
    Academic article
  • Wang, Lu; Jahre, Magnus; Adileh, Almutaz; Wang, Zhiying; Eeckhout, Lieven. (2019) Modeling Emerging Memory-Divergent GPU Applications. IEEE computer architecture letters. volum 18 (2).
    Academic article
  • Jahre, Magnus; Eeckhout, Lieven. (2018) GDP: Using Dataflow Properties to Accurately Estimate Interference-Free Performance at Runtime. IEEE Symposium on High-Performance Computer Architecture (HPCA). volum 2018-February.
    Academic article
  • Yuxi, Liu; Zhao, Xia; Jahre, Magnus; Wang, Zhenlin; Wang, Xiaolin; Lou, Yingwei; Eeckhout, Lieven. (2018) Get Out of the Valley: Power-Efficient Address Mapping for GPUs. International Symposium on Computer Architecture.
    Academic article
  • Umuroglu, Yaman; Jahre, Magnus. (2016) Random access schemes for efficient FPGA SpMV acceleration. Microprocessors and Microsystems: Embedded Hardware Design (MICPRO). volum 47B.
    Academic article
  • Bahmann, Helge; Reissmann, Nico; Jahre, Magnus; Meyer, Jan Christian. (2015) Perfect Reconstructability of Control Flow from Demand Dependence Graphs. ACM Transactions on Architecture and Code Optimization (TACO). volum 11 (4).
    Academic article
  • Cebrian, Juan; Jahre, Magnus; Natvig, Lasse. (2015) ParVec: vectorizing the PARSEC benchmark suite. Computing. volum 97 (11).
    Academic article
  • Iordan, Alexandru Ciprian; Jahre, Magnus; Natvig, Lasse. (2013) Challenges of Reducing Cycle-Accurate Simulation Time for TBP Applications. Procedia Computer Science. volum 18.
    Academic article
  • Grannæs, Marius; Jahre, Magnus; Natvig, Lasse. (2011) Exploring the Prefetcher/Memory Controller Design Space: An Opportunistic Prefetch Scheduling Strategy. Lecture Notes in Computer Science (LNCS). volum 6566.
    Academic article
  • Grannæs, Marius; Jahre, Magnus; Natvig, Lasse. (2011) Storage Efficient Hardware Prefetching using Delta-Correlating Prediction Tables. Journal of Instruction-Level Parallelism. volum 13.
    Academic article
  • Grannæs, Marius; Jahre, Magnus; Natvig, Lasse. (2010) Multi-level Hardware Prefetching Using Low Complexity Delta Correlating Prediction Tables with Partial Matching. Lecture Notes in Computer Science (LNCS). volum 5 (1).
    Academic article
  • Jahre, Magnus; Grannæs, Marius; Natvig, Lasse. (2010) DIEF: An Accurate Interference Feedback Mechanism for Chip Multiprocessor Memory Systems. Lecture Notes in Computer Science (LNCS).
    Academic article
  • Jahre, Magnus; Natvig, Lasse. (2009) A High Performance Adaptive Miss Handling Architecture for Chip Multiprocessors. Lecture Notes in Computer Science (LNCS).
    Academic article

Books

  • Jahre, Magnus; Göhringer, Diana; Millet, Philippe. (2021) Towards Ubiquitous Low-power Image Processing Platforms. Springer Nature. 2021. ISBN 9783030535315.
    Academic anthology/Conference proceedings

Part of book/report

  • Djupdal, Asbjørn; Gottschall, Björn; Ghasemisoumeeh, Fatemeh; Jahre, Magnus. (2021) Lynsyn and LynsynLite: The STHEM Power Measurement Units. Towards Ubiquitous Low-power Image Processing Platforms.
    Academic chapter/article/Conference paper
  • Gottschall, Björn; Eeckhout, Lieven; Jahre, Magnus. (2021) TIP: Time-Proportional Instruction Profiling. MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture.
    Academic chapter/article/Conference paper
  • Wang, Lu; Jahre, Magnus; Adileh, Almutaz; Eeckhout, Lieven. (2020) MDM: The GPU Memory Divergence Model. MICRO'53: Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture.
    Academic chapter/article/Conference paper
  • Zhao, Xia; Jahre, Magnus; Eeckhout, Lieven. (2020) HSM: A Hybrid Slowdown Model for Multitasking GPUs. ASPLOS'20: Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems.
    Academic chapter/article/Conference paper
  • Zhao, Xia; Jahre, Magnus; Eeckhout, Lieven. (2020) Selective Replication in Memory-Side GPU Caches. MICRO'53: Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture.
    Academic chapter/article/Conference paper
  • Umuroglu, Yaman; Fraser, Nicholas J.; Gambardella, Giulio; Blott, Michaela; Leong, Philip W.; Jahre, Magnus; Vissers, Kees. (2017) FINN: A Framework for Fast, Scalable Binarized Neural Network Inference. Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays.
    Academic chapter/article/Conference paper
  • Reissmann, Nico; Falch, Thomas Løfsgaard; Bjørnseth, Benjamin Andreassen; Bahmann, Helge; Meyer, Jan Christian; Jahre, Magnus. (2016) Efficient control flow restructuring for GPUs. International Conference on High Performance Computing & Simulation (HPCS).
    Academic chapter/article/Conference paper
  • Umuroglu, Yaman; Jahre, Magnus. (2015) A Vector Caching Scheme for Streaming FPGA SpMV Accelerators. Applied Reconfigurable Computing.
    Academic chapter/article/Conference paper
  • Umuroglu, Yaman; Morrison, Donn; Jahre, Magnus. (2015) Hybrid Breadth-First Search on a Single-Chip FPGA-CPU Heterogeneous Platform. 25th International Conference on Field Programmable Logic and Applications, FPL 2015, London, United Kingdom, September 2-4, 2015.
    Academic chapter/article/Conference paper
  • Cebrian, Juan; Jahre, Magnus; Natvig, Lasse. (2014) Optimized Hardware for Suboptimal Software: The Case for SIMD-aware Benchmarks. IEEE INTERNATIONAL SYMPOSIUM ON PERFORMANCE ANALYSIS OF SYSTEMS AND SOFTWARE.
    Academic chapter/article/Conference paper
  • Jahre, Magnus. (2014) Graph-based Performance Accounting for Chip Multiprocessor Memory Systems. Proceedings of the 23rd International Conference on Parallel Architectures and Compilation Techniques (PACT).
    Academic chapter/article/Conference paper
  • Nikitin, Nikita; Jahre, Magnus. (2014) Patterned Heterogeneous CMPs: The Case for Regularity-Driven System-Level Synthesis. 2014 IEEE Computer Society Annual Symposium on VLSI (ISVLSI'14).
    Academic chapter/article/Conference paper
  • Umuroglu, Yaman; Jahre, Magnus. (2014) An Energy Efficient Column-Major Backend for FPGA SpMV Accelerators. 2014 32nd IEEE International Conference on Computer Design (ICCD).
    Academic chapter/article/Conference paper
  • Iordan, Alexandru Ciprian; Jahre, Magnus; Natvig, Lasse. (2013) On the Energy Footprint of Task Based Parallel Applications. Proceedings of the 2013 International Conference on High Performance Computing & Simulation (HPCS 2013).
    Academic chapter/article/Conference paper
  • Iordan, Alexandru Ciprian; Jahre, Magnus; Natvig, Lasse. (2012) Towards Efficient Simulation of Task Based Parallel Applications. Norsk informatikkonferanse NIK 2012; Universitetet i Nordland 19 – 21 november 2012.
    Academic chapter/article/Conference paper
  • Grannæs, Marius; Jahre, Magnus; Natvig, Lasse. (2010) Multi-level Hardware Prefetching Using Low Complexity Delta Correlating Prediction Tables with Partial Matching. Proceedings of the 5th International Conference on High Performance Embedded Architectures and Compilers (HiPEAC).
    Academic chapter/article/Conference paper
  • Jahre, Magnus; Grannæs, Marius; Natvig, Lasse. (2009) A Quantitative Study of Memory System Interference in Chip Multiprocessor Architectures. 11th IEEE International Conference on High Performance Computing and Communications (HPCC 2009).
    Academic chapter/article/Conference paper
  • Jahre, Magnus; Natvig, Lasse. (2009) A Light-Weight Fairness Mechanism for Chip Multiprocessor Memory Systems. Proceedings of the 6th ACM Conference on Computing Frontiers.
    Academic chapter/article/Conference paper

Report

  • Jahre, Magnus; Natvig, Lasse. (2010) Managing Shared Resources in Chip Multiprocessor Memory Systems. 2010. ISBN 978-82-471-2287-7. Doktoravhandlinger ved NTNU (159).
    Doctoral dissertation

Teaching

Courses

  • DT8123 - Advanced Computing
  • TDT4255 - Computer Design

I am involved in teaching the following courses:

  • TDT4255 Computer Design
  • TDT01 Architecture of Computing Systems
  • DT8123 Advanced Computing

 

I also supervise project and master thesis topics within computer architecture and design. Current project and master thesis topics are available at IDIs web pages. I often co-supervise projects and masters with local and national industry partners such as ARM, Nordic Semiconductor and Silicon Labs (formerly Energy Micro).

The topics and reports of my supervised master theses can be found on NTNU Open.

Supervision

I currently supervise the following PhD students:

  • Fatemeh Ghasemi (main supervisor)
  • Björn Gottschall (main supervisor)
  • Lukas Liedtke (main supervisor)
  • Joseph Rogers (main supervisor)
  • Silvio Santana (main supervisor)
  • Truls Asheim (co-supervisor)
  • Roman Brunner (co-supervisor)
  • Anders Gaustad (co-supervisor)
  • Amund Bergsland Kvalsvik (co-supervisor)
  • David Metz (co-supervisor)

 

I have supervised/mentored the following PhD students and post docs:

  • Main supervisor for Dr. Nico Reissmann (2012-2019), next employer NTNU IT
  • Mentor for Dr. Asbjørn Djupdal (2013-2019), next employer NTNU
  • Main supervisor for Dr. Yaman Umuroglu (2012-2018), next employer Xilinx/AMD
  • Co-supervisor for Dr. Yahya Yassin (2012-2018), next employer Mode Sensors
  • Mentor for Dr. Ananya Muddukrishna (2016-2018), next employer ÅF
  • Mentor for Dr. Mohammed Sourori (2015-2017), next employer Accenture
  • Co-supervisor for Dr. Odd Rune Strømmen Lykkebø (2012-2017), next employer Nnaisense
  • Mentor for Post doc. Dr. Juan Manuel Cebrian (2012-2014), next employer UPC/BSC
  • Mentor for Post doc. Dr. Nikita Nikitin (2013-2014), next employer Mentor Graphics

 

Media

2017

  • Interview
    Sævik, Bjørnar Torvholm; Folven, Erik; Jahre, Magnus; Skaar, Johannes. (2017) Ein æra er omm. nrk.no [Internett]. 2017-02-24.
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