Low-cost open-page prefetch scheduling in chip multiprocessors. - Marius Grannæs; Magnus Jahre; Lasse Natvig (ICCD, 2008)

A light-weight fairness mechanism for chip multiprocessor memory systems. - Magnus Jahre; Lasse Natvig (Conf. Computing Frontiers, 2009)

A Quantitative Study of Memory System Interference in Chip Multiprocessor Architectures. - Magnus Jahre; Marius Grannæs; Lasse Natvig (HPCC, 2009)

Experimental Validation of the Learning Effect for a Pedagogical Game on Computer Fundamentals. - Guttorm Sindre; Lasse Natvig; Magnus Jahre (IEEE Trans. Educ., 2009)

Multi-level Hardware Prefetching Using Low Complexity Delta Correlating Prediction Tables with Partial Matching. - Marius Grannæs; Magnus Jahre; Lasse Natvig (HiPEAC, 2010)

DIEF: An Accurate Interference Feedback Mechanism for Chip Multiprocessor Memory Systems. - Magnus Jahre; Marius Grannæs; Lasse Natvig (HiPEAC, 2010)

Computational Computer Architecture Research at NTNU. - Magnus Jahre; Lasse Natvig (ERCIM News, 2010)

Exploring the Prefetcher/Memory Controller Design Space: An Opportunistic Prefetch Scheduling Strategy. - Marius Grannæs; Magnus Jahre; Lasse Natvig (ARCS, 2011)

Storage Efficient Hardware Prefetching using Delta-Correlating Prediction Tables. - Marius Grannæs; Magnus Jahre; Lasse Natvig (J. Instr. Level Parallelism, 2011)

A High Performance Adaptive Miss Handling Architecture for Chip Multiprocessors. - Magnus Jahre; Lasse Natvig (Trans. High Perform. Embed. Archit. Compil., 2011)

Challenges of Reducing Cycle-Accurate Simulation Time for TBP Applications. - Alexandru C. Iordan; Magnus Jahre; Lasse Natvig (ICCS, 2013)

On the energy footprint of task based parallel applications. - Alexandru C. Iordan; Magnus Jahre; Lasse Natvig (HPCS, 2013)

Graph-based performance accounting for chip multiprocessor memory systems. - Magnus Jahre (PACT, 2014)

Victim Selection Policies for Intel TBB: Overheads and Energy Footprint. - Alexandru C. Iordan; Magnus Jahre; Lasse Natvig (ARCS, 2014)

An energy efficient column-major backend for FPGA SpMV accelerators. - Yaman Umuroglu; Magnus Jahre (ICCD, 2014)

A Study of Energy and Locality Effects Using Space-Filling Curves. - Nico Reissmann; Jan Christian Meyer; Magnus Jahre (IPDPS Workshops, 2014)

Optimized hardware for suboptimal software: The case for SIMD-aware benchmarks. - Juan M. Cebrian; Magnus Jahre; Lasse Natvig (ISPASS, 2014)

Patterned Heterogeneous CMPs: The Case for Regularity-Driven System-Level Synthesis. - Nikita Nikitin; Magnus Jahre (ISVLSI, 2014)

Perfect Reconstructability of Control Flow from Demand Dependence Graphs. - Helge Bahmann; Nico Reissmann; Magnus Jahre; Jan Christian Meyer (ACM Trans. Archit. Code Optim., 2014)

A Vector Caching Scheme for Streaming FPGA SpMV Accelerators. - Yaman Umuroglu; Magnus Jahre (ARC, 2015)

Hybrid breadth-first search on a single-chip FPGA-CPU heterogeneous platform. - Yaman Umuroglu; Donn Morrison; Magnus Jahre (FPL, 2015)

ParVec: vectorizing the PARSEC benchmark suite. - Juan M. Cebrian; Magnus Jahre; Lasse Natvig (Computing, 2015)

Tuning the victim selection policy of Intel TBB. - Alexandru C. Iordan; Magnus Jahre; Lasse Natvig (J. Syst. Archit., 2015)

Efficient control flow restructuring for GPUs. - Nico Reissmann; Thomas L. Falch; Benjamin A. Bjørnseth; Helge Bahmann; Jan Christian Meyer; Magnus Jahre (HPCS, 2016)

TULIPP: Towards ubiquitous low-power image processing platforms. - Tobias Kalb; Lester Kalms; Diana Göhringer; Carlota Pons; Fabien Marty; Ananya Muddukrishna; Magnus Jahre; Per Gunnar Kjeldsberg; Boitumelo Ruf; Tobias Schuchert; Igor Tchouchenkov; Carl Ehrenstrahle; et al. (SAMOS, 2016)

Random access schemes for efficient FPGA SpMV acceleration. - Yaman Umuroglu; Magnus Jahre (Microprocess. Microsystems, 2016)

Towards efficient quantized neural network inference on mobile devices: work-in-progress. - Yaman Umuroglu; Magnus Jahre (CASES, 2017)

Towards Efficient Design Space Exploration of FPGA-based Accelerators for Streaming HPC Applications (Abstract Only). - Mostafa Koraei; Magnus Jahre; S. Omid Fatemi (FPGA, 2017)

FINN: A Framework for Fast, Scalable Binarized Neural Network Inference. - Yaman Umuroglu; Nicholas J. Fraser; Giulio Gambardella; Michaela Blott; Philip Heng Wai Leong; Magnus Jahre; Kees A. Vissers (FPGA, 2017)

DTP: Enabling Exhaustive Exploration of FPGA Temporal Partitions for Streaming HPC Applications. - Mostafa Koraei; Magnus Jahre; S. Omid Fatemi (HEART, 2017)

Scaling Binarized Neural Networks on Reconfigurable Logic. - Nicholas J. Fraser; Yaman Umuroglu; Giulio Gambardella; Michaela Blott; Philip Heng Wai Leong; Magnus Jahre; Kees A. Vissers (PARMA-DITAM@HiPEAC, 2017)

Extending OMPT to Support Grain Graphs. - Peder Voldnes Langdal; Magnus Jahre; Ananya Muddukrishna (IWOMP, 2017)

The READEX formalism for automatic tuning for energy efficiency. - Joseph Schuchart; Michael Gerndt; Per Gunnar Kjeldsberg; Michael Lysaght; David Horák; Lubomír Ríha; Andreas Gocht; Mohammed Sourouri; Madhura Kumaraswamy; Anamika Chowdhury; Magnus Jahre; Kai Diethelm; et al. (Computing, 2017)

Streamlined Deployment for Quantized Neural Networks. - Yaman Umuroglu; Magnus Jahre (CoRR, 2017)

Supporting Utilities for Heterogeneous Embedded Image Processing Platforms (STHEM): An Overview. - Ahmad Sadek; Ananya Muddukrishna; Lester Kalms; Asbjørn Djupdal; Ariel Podlubne; Antonio Paolillo; Diana Goehringer; Magnus Jahre (ARC, 2018)

GDP: Using Dataflow Properties to Accurately Estimate Interference-Free Performance at Runtime. - Magnus Jahre; Lieven Eeckhout (HPCA, 2018)

Get Out of the Valley: Power-Efficient Address Mapping for GPUs. - Yuxi Liu; Xia Zhao 004; Magnus Jahre; Zhenlin Wang; Xiaolin Wang 001; Yingwei Luo; Lieven Eeckhout (ISCA, 2018)

Modeling Emerging Memory-Divergent GPU Applications. - Lu Wang 019; Magnus Jahre; Almutaz Adileh; Zhiying Wang 003; Lieven Eeckhout (IEEE Comput. Archit. Lett., 2019)

EPIC: An Energy-Efficient, High-Performance GPGPU Computing Research Infrastructure. - Magnus Själander; Magnus Jahre; Gunnar Tufte; Nico Reissmann (CoRR, 2019)

HSM: A Hybrid Slowdown Model for Multitasking GPUs. - Xia Zhao 004; Magnus Jahre; Lieven Eeckhout (ASPLOS, 2020)

Selective Replication in Memory-Side GPU Caches. - Xia Zhao 004; Magnus Jahre; Lieven Eeckhout (MICRO, 2020)

MDM: The GPU Memory Divergence Model. - Lu Wang 019; Magnus Jahre; Almutaz Adileh; Lieven Eeckhout (MICRO, 2020)

DCMI: A Scalable Strategy for Accelerating Iterative Stencil Loops on FPGAs. - Mostafa Koraei; Omid Fatemi; Magnus Jahre (ACM Trans. Archit. Code Optim., 2020)

Scalability analysis of AVX-512 extensions. - Juan M. Cebrian; Lasse Natvig; Magnus Jahre (J. Supercomput., 2020)

TIP: Time-Proportional Instruction Profiling. - Björn Gottschall; Lieven Eeckhout; Magnus Jahre (MICRO, 2021)

Modeling Periodic Energy-Harvesting Computing Systems. - Fatemeh Ghasemi; Magnus Jahre (IEEE Comput. Archit. Lett., 2021)

Fast and Accurate Edge Computing Energy Modeling and DVFS Implementation in GEM5 Using System Call Emulation Mode. - Yahya H. Yassin; Magnus Jahre; Per Gunnar Kjeldsberg; Snorre Aunet; Francky Catthoor (J. Signal Process. Syst., 2021)

Delegated Replies: Alleviating Network Clogging in Heterogeneous Architectures. - Xia Zhao 004; Lieven Eeckhout; Magnus Jahre (HPCA, 2022)

LMT: Accurate and Resource-Scalable Slowdown Prediction. - Peter Salvesen; Magnus Jahre (IEEE Comput. Archit. Lett., 2022)

NUBA: Non-Uniform Bandwidth GPUs. - Xia Zhao 004; Magnus Jahre; Yuhua Tang; Guangda Zhang; Lieven Eeckhout (ASPLOS (2), 2023)

ESS: Repeatable Evaluation of Energy Harvesting Subsystems for Industry-Grade IoT Platforms. - Fatemeh Ghasemi; Lukas Liedtke; Magnus Jahre (IISWC, 2023)

Balancing Accuracy and Evaluation Overhead in Simulation Point Selection. - Björn Gottschall; Silvio Heverton Campelo de Santana; Magnus Jahre (IISWC, 2023)

TEA: Time-Proportional Event Analysis. - Björn Gottschall; Lieven Eeckhout; Magnus Jahre (ISCA, 2023)

SAC: Sharing-Aware Caching in Multi-Chip GPUs. - Shiqing Zhang; Mahmood Naderan-Tahan; Magnus Jahre; Lieven Eeckhout (ISCA, 2023)

PES: An Energy and Throughput Model for Energy Harvesting IoT Systems. - Fatemeh Ghasemi; Lukas Liedtke; Magnus Jahre (ISPASS, 2023)

Balancing Performance Against Cost and Sustainability in Multi-Chip-Module GPUs. - Shiqing Zhang; Mahmood Naderan-Tahan; Magnus Jahre; Lieven Eeckhout (IEEE Comput. Archit. Lett., 2023)

Near-optimal multi-accelerator architectures for predictive maintenance at the edge. - Mostafa Koraei; Juan M. Cebrian; Magnus Jahre (Future Gener. Comput. Syst., 2023)

Characterizing Multi-Chip GPU Data Sharing. - Shiqing Zhang; Mahmood Naderan-Tahan; Magnus Jahre; Lieven Eeckhout (ACM Trans. Archit. Code Optim., 2023)

ECM: Improving IoT Throughput with Energy-Aware Connection Management. - Fatemeh Ghasemi; Lukas Liedtke; Magnus Jahre (DATE, 2024)

AIO: An Abstraction for Performance Analysis Across Diverse Accelerator Architectures. - Joseph Rogers; Taha Soliman; Magnus Jahre (ISCA, 2024)

Temporarily Unauthorized Stores: Write First, Ask for Permission Later. - Juan M. Cebrian; Magnus Jahre; Alberto Ros 001 (MICRO, 2024)

CoFaaS: Automatic Transformation-based Consolidation of Serverless Functions. - Truls Asheim; Magnus Jahre; Rakesh Kumar 003 (SESAME@EuroSys, 2024)

Per-Instruction Cycle Stacks Through Time-Proportional Event Analysis. - Björn Gottschall; Lieven Eeckhout; Magnus Jahre (IEEE Micro, 2024)

HILP: Accounting for Workload-Level Parallelism in System-on-Chip Design Space Exploration. - Joseph Rogers; Lieven Eeckhout; Magnus Jahre (HPCA, 2025)

Neoscope: How Resilient Is My SoC to Workload Churn? - Joseph Rogers; Lieven Eeckhout; Taha Soliman; Magnus Jahre (ISCA, 2025)

Memory-Centric MCM-GPU Architecture. - Hossein SeyyedAghaei; Mahmood Naderan-Tahan; Magnus Jahre; Lieven Eeckhout (IEEE Comput. Archit. Lett., 2025)

FOMOsim: An open-source simulator for rigorous analysis of micromobility planning problems. - Steffen J. S. Bakker; Mohamed Ben Ahmed; Asbjørn Djupdal; Lasse Natvig; Henrik Andersson; Magnus Jahre; Kjetil Fagerholt (Expert Syst. Appl., 2025)

Optimizing Energy Efficiency in Subthreshold RISC-V Cores. - Asbjørn Djupdal; Magnus Själander; Magnus Jahre; Snorre Aunet; Trond Ytterdal (CoRR, 2025)

EStacker: Explaining Battery-Less IoT System Performance with Energy Stacks. - Lukas Liedtke; Per Gunnar Kjeldsberg; Frank Alexander Kraemer; Magnus Jahre (CoRR, 2025)