Magnus Jahre

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 40

Top Topics

Design Space Exploration

Top Venues

IEEE Comput. Archit. Lett.

Publications

Fatemeh Ghasemi, Lukas Liedtke, Magnus Jahre
ECM: Improving IoT Throughput with Energy-Aware Connection Management. DATE (2024)
Truls Asheim, Magnus Jahre, Rakesh Kumar
CoFaaS: Automatic Transformation-based Consolidation of Serverless Functions. SESAME@EuroSys (2024)
Joseph Rogers, Taha Soliman, Magnus Jahre
AIO: An Abstraction for Performance Analysis Across Diverse Accelerator Architectures. ISCA (2024)
Fatemeh Ghasemi, Lukas Liedtke, Magnus Jahre
PES: An Energy and Throughput Model for Energy Harvesting IoT Systems. ISPASS (2023)
Björn Gottschall, Silvio Heverton Campelo de Santana, Magnus Jahre
Balancing Accuracy and Evaluation Overhead in Simulation Point Selection. IISWC (2023)
Xia Zhao, Magnus Jahre, Yuhua Tang, Guangda Zhang, Lieven Eeckhout
NUBA: Non-Uniform Bandwidth GPUs. ASPLOS (2) (2023)
Mostafa Koraei, Juan M. Cebrian, Magnus Jahre
Near-optimal multi-accelerator architectures for predictive maintenance at the edge. Future Gener. Comput. Syst. 140 (2023)
Björn Gottschall, Lieven Eeckhout, Magnus Jahre
TEA: Time-Proportional Event Analysis. ISCA (2023)
Shiqing Zhang, Mahmood Naderan-Tahan, Magnus Jahre, Lieven Eeckhout
Characterizing Multi-Chip GPU Data Sharing. ACM Trans. Archit. Code Optim. 20 (4) (2023)
Fatemeh Ghasemi, Lukas Liedtke, Magnus Jahre
ESS: Repeatable Evaluation of Energy Harvesting Subsystems for Industry-Grade IoT Platforms. IISWC (2023)
Shiqing Zhang, Mahmood Naderan-Tahan, Magnus Jahre, Lieven Eeckhout
SAC: Sharing-Aware Caching in Multi-Chip GPUs. ISCA (2023)
Peter Salvesen, Magnus Jahre
LMT: Accurate and Resource-Scalable Slowdown Prediction. IEEE Comput. Archit. Lett. 21 (2) (2022)
Xia Zhao, Lieven Eeckhout, Magnus Jahre
Delegated Replies: Alleviating Network Clogging in Heterogeneous Architectures. HPCA (2022)
Fatemeh Ghasemi, Magnus Jahre
Modeling Periodic Energy-Harvesting Computing Systems. IEEE Comput. Archit. Lett. 20 (2) (2021)
Yahya H. Yassin, Magnus Jahre, Per Gunnar Kjeldsberg, Snorre Aunet, Francky Catthoor
Fast and Accurate Edge Computing Energy Modeling and DVFS Implementation in GEM5 Using System Call Emulation Mode. J. Signal Process. Syst. 93 (1) (2021)
Björn Gottschall, Lieven Eeckhout, Magnus Jahre
TIP: Time-Proportional Instruction Profiling. MICRO (2021)
Xia Zhao, Magnus Jahre, Lieven Eeckhout
HSM: A Hybrid Slowdown Model for Multitasking GPUs. ASPLOS (2020)
Lu Wang, Magnus Jahre, Almutaz Adileh, Lieven Eeckhout
MDM: The GPU Memory Divergence Model. MICRO (2020)
Xia Zhao, Magnus Jahre, Lieven Eeckhout
Selective Replication in Memory-Side GPU Caches. MICRO (2020)
Mostafa Koraei, Omid Fatemi, Magnus Jahre
DCMI: A Scalable Strategy for Accelerating Iterative Stencil Loops on FPGAs. ACM Trans. Archit. Code Optim. 16 (4) (2020)
Juan M. Cebrian, Lasse Natvig, Magnus Jahre
Scalability analysis of AVX-512 extensions. J. Supercomput. 76 (3) (2020)
Magnus Själander, Magnus Jahre, Gunnar Tufte, Nico Reissmann
EPIC: An Energy-Efficient, High-Performance GPGPU Computing Research Infrastructure. CoRR (2019)
Lu Wang, Magnus Jahre, Almutaz Adileh, Zhiying Wang, Lieven Eeckhout
Modeling Emerging Memory-Divergent GPU Applications. IEEE Comput. Archit. Lett. 18 (2) (2019)
Yuxi Liu, Xia Zhao, Magnus Jahre, Zhenlin Wang, Xiaolin Wang, Yingwei Luo, Lieven Eeckhout
Get Out of the Valley: Power-Efficient Address Mapping for GPUs. ISCA (2018)
Ahmad Sadek, Ananya Muddukrishna, Lester Kalms, Asbjørn Djupdal, Ariel Podlubne, Antonio Paolillo, Diana Goehringer, Magnus Jahre
Supporting Utilities for Heterogeneous Embedded Image Processing Platforms (STHEM): An Overview. ARC (2018)
Magnus Jahre, Lieven Eeckhout
GDP: Using Dataflow Properties to Accurately Estimate Interference-Free Performance at Runtime. HPCA (2018)
Nicholas J. Fraser, Yaman Umuroglu, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong, Magnus Jahre, Kees A. Vissers
Scaling Binarized Neural Networks on Reconfigurable Logic. CoRR (2017)
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, Othman Bouizi, Umbreen Sabir Mian, Jakub Kruzík, Radim Sojka, Martin Beseda, Venkatesh Kannan, Zakaria Bendifallah, Daniel Hackenberg, Wolfgang E. Nagel
The READEX formalism for automatic tuning for energy efficiency. Computing 99 (8) (2017)
Peder Voldnes Langdal, Magnus Jahre, Ananya Muddukrishna
Extending OMPT to Support Grain Graphs. IWOMP (2017)
Nicholas J. Fraser, Yaman Umuroglu, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong, Magnus Jahre, Kees A. Vissers
Scaling Binarized Neural Networks on Reconfigurable Logic. PARMA-DITAM@HiPEAC (2017)
Yaman Umuroglu, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong, Magnus Jahre, Kees A. Vissers
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference. FPGA (2017)
Mostafa Koraei, Magnus Jahre, S. Omid Fatemi
Towards Efficient Design Space Exploration of FPGA-based Accelerators for Streaming HPC Applications (Abstract Only). FPGA (2017)
Yaman Umuroglu, Magnus Jahre
Streamlined Deployment for Quantized Neural Networks. CoRR (2017)
Yaman Umuroglu, Magnus Jahre
Towards efficient quantized neural network inference on mobile devices: work-in-progress. CASES (2017)
Mostafa Koraei, Magnus Jahre, S. Omid Fatemi
DTP: Enabling Exhaustive Exploration of FPGA Temporal Partitions for Streaming HPC Applications. HEART (2017)
Yaman Umuroglu, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong, Magnus Jahre, Kees A. Vissers
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference. CoRR (2016)
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, Flemming Christensen, Antonio Paolillo, Christian Lemer, Guillaume Bernard, François Duhem, Philippe Millet
TULIPP: Towards ubiquitous low-power image processing platforms. SAMOS (2016)
Nico Reissmann, Thomas L. Falch, Benjamin A. Bjørnseth, Helge Bahmann, Jan Christian Meyer, Magnus Jahre
Efficient control flow restructuring for GPUs. HPCS (2016)
Nico Reissmann, Jan Christian Meyer, Magnus Jahre
A Study of Energy and Locality Effects using Space-filling Curves. CoRR (2016)
Yaman Umuroglu, Magnus Jahre
Random access schemes for efficient FPGA SpMV acceleration. Microprocess. Microsystems 47 (2016)
Alexandru C. Iordan, Magnus Jahre, Lasse Natvig
Tuning the victim selection policy of Intel TBB. J. Syst. Archit. 61 (10) (2015)
Juan M. Cebrian, Magnus Jahre, Lasse Natvig
ParVec: vectorizing the PARSEC benchmark suite. Computing 97 (11) (2015)
Yaman Umuroglu, Donn Morrison, Magnus Jahre
Hybrid breadth-first search on a single-chip FPGA-CPU heterogeneous platform. FPL (2015)
Yaman Umuroglu, Magnus Jahre
A Vector Caching Scheme for Streaming FPGA SpMV Accelerators. ARC (2015)
Helge Bahmann, Nico Reissmann, Magnus Jahre, Jan Christian Meyer
Perfect Reconstructability of Control Flow from Demand Dependence Graphs. ACM Trans. Archit. Code Optim. 11 (4) (2014)
Nico Reissmann, Jan Christian Meyer, Magnus Jahre
A Study of Energy and Locality Effects Using Space-Filling Curves. IPDPS Workshops (2014)
Juan M. Cebrian, Magnus Jahre, Lasse Natvig
Optimized hardware for suboptimal software: The case for SIMD-aware benchmarks. ISPASS (2014)
Yaman Umuroglu, Magnus Jahre
An energy efficient column-major backend for FPGA SpMV accelerators. ICCD (2014)
Alexandru C. Iordan, Magnus Jahre, Lasse Natvig
Victim Selection Policies for Intel TBB: Overheads and Energy Footprint. ARCS (2014)
Nikita Nikitin, Magnus Jahre
Patterned Heterogeneous CMPs: The Case for Regularity-Driven System-Level Synthesis. ISVLSI (2014)
Magnus Jahre
Graph-based performance accounting for chip multiprocessor memory systems. PACT (2014)
Alexandru C. Iordan, Magnus Jahre, Lasse Natvig
On the energy footprint of task based parallel applications. HPCS (2013)
Alexandru C. Iordan, Magnus Jahre, Lasse Natvig
Challenges of Reducing Cycle-Accurate Simulation Time for TBP Applications. ICCS (2013)
Marius Grannæs, Magnus Jahre, Lasse Natvig
Storage Efficient Hardware Prefetching using Delta-Correlating Prediction Tables. J. Instr. Level Parallelism 13 (2011)
Marius Grannæs, Magnus Jahre, Lasse Natvig
Exploring the Prefetcher/Memory Controller Design Space: An Opportunistic Prefetch Scheduling Strategy. ARCS (2011)
Magnus Jahre, Lasse Natvig
A High Performance Adaptive Miss Handling Architecture for Chip Multiprocessors. Trans. High Perform. Embed. Archit. Compil. 4 (2011)
Marius Grannæs, Magnus Jahre, Lasse Natvig
Multi-level Hardware Prefetching Using Low Complexity Delta Correlating Prediction Tables with Partial Matching. HiPEAC (2010)
Magnus Jahre, Marius Grannæs, Lasse Natvig
DIEF: An Accurate Interference Feedback Mechanism for Chip Multiprocessor Memory Systems. HiPEAC (2010)
Magnus Jahre, Lasse Natvig
Computational Computer Architecture Research at NTNU. ERCIM News 2010 (81) (2010)
Guttorm Sindre, Lasse Natvig, Magnus Jahre
Experimental Validation of the Learning Effect for a Pedagogical Game on Computer Fundamentals. IEEE Trans. Educ. 52 (1) (2009)
Magnus Jahre, Lasse Natvig
A light-weight fairness mechanism for chip multiprocessor memory systems. Conf. Computing Frontiers (2009)
Magnus Jahre, Marius Grannæs, Lasse Natvig
A Quantitative Study of Memory System Interference in Chip Multiprocessor Architectures. HPCC (2009)
Marius Grannæs, Magnus Jahre, Lasse Natvig
Low-cost open-page prefetch scheduling in chip multiprocessors. ICCD (2008)