2019

• Cebrian, Juan Manuel; Natvig, Lasse; Jahre, Magnus. (2019) Scalability analysis of AVX-512 extensions. Journal of Supercomputing.
• 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). vol. 16 (4).
• 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). vol. 16 (4).
• Wang, Lu; Jahre, Magnus; Adileh, Almutaz; Wang, Zhiying; Eeckhout, Lieven. (2019) Modeling Emerging Memory-Divergent GPU Applications. IEEE computer architecture letters. vol. 18 (2).

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). vol. 2018-February.
• Sadek, Ahmad; Muddukrishna, Ananya; Kalms, Lester; Djupdal, Asbjørn; Podlubne, Ariel; Paolillo, Antonio; Goehringer, Diana; Jahre, Magnus. (2018) Supporting Utilities for Heterogeneous Embedded Image Processing Platforms (STHEM): An Overview. Lecture Notes in Computer Science (LNCS). vol. 10824.
• 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.

2017

• Langdal, Peder Voldnes; Jahre, Magnus; Muddukrishna, Ananya. (2017) Extending OMPT to Support Grain Graphs. Lecture Notes in Computer Science (LNCS). vol. 10468 LNCS.
• Schuchart, Joseph; Gerndt, Michael; Kjeldsberg, Per Gunnar; Lysaght, Michael; Horák, David; Říha, Lubomír; Gocht, Andreas; Sourouri, Mohammed; Kumaraswamy, Madhura; Chowdhury, Anamika; Jahre, Magnus; Diethelm, Kai; Bouizi, Othman; Mian, Umbreen Sabir; Kružík, Jakub; Sojka, Radim; Beseda, Martin; Kannan, Venkatesh; Bendifallah, Zakaria; Hackenberg, Daniel; Nagel, Wolfgang E.. (2017) The READEX formalism for automatic tuning for energy efficiency. Computing. vol. 99 (8).

2016

• Umuroglu, Yaman; Jahre, Magnus. (2016) Random access schemes for efficient FPGA SpMV acceleration. Microprocessors and microsystems. vol. 47B.

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). vol. 11 (4).
• Cebrian, Juan; Jahre, Magnus; Natvig, Lasse. (2015) ParVec: vectorizing the PARSEC benchmark suite. Computing. vol. 97 (11).
• Iordan, Alexandru Ciprian; Jahre, Magnus; Natvig, Lasse. (2015) Tuning the victim selection policy of Intel TBB. Journal of systems architecture. vol. 61 (10).

2014

• Reissmann, Nico; Meyer, Jan Christian; Jahre, Magnus. (2014) A study of energy and locality effects using space-filling curves. Proceedings, International Parallel and Distributed Processing Symposium (IPDPS).

2013

• Iordan, Alexandru Ciprian; Jahre, Magnus; Natvig, Lasse. (2013) Challenges of Reducing Cycle-Accurate Simulation Time for TBP Applications. Procedia Computer Science. vol. 18.

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). vol. 6566.
• Grannæs, Marius; Jahre, Magnus; Natvig, Lasse. (2011) Storage Efficient Hardware Prefetching using Delta-Correlating Prediction Tables. Journal of Instruction-Level Parallelism. vol. 13.
• Jahre, Magnus. (2011) Computational computer architecture. META.

2010

• 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). vol. 5 (1).
• Jahre, Magnus; Grannæs, Marius; Natvig, Lasse. (2010) DIEF: An Accurate Interference Feedback Mechanism for Chip Multiprocessor Memory Systems. Lecture Notes in Computer Science (LNCS).