Efficient Strategies for Software-Only Protocols in Shared-Memory Multiprocessors. - Håkan Grahn; Per Stenström (ISCA, 1995)

Implementation and evaluation of update-based cache protocols under relaxed memory consistency models. - Håkan Grahn; Per Stenström; Michel Dubois 001 (Future Gener. Comput. Syst., 1995)

Evaluation of a Competitive-Update Cache Coherence Protocol with Migratory Data Detection. - Håkan Grahn; Per Stenström (J. Parallel Distributed Comput., 1996)

Relative Performance of Hardware and Software-Only Directory Protocols Under Latency Tolerating and Reducing Techniques. - Håkan Grahn; Per Stenström (IPPS, 1997)

Boosting the Performance of Shared Memory Multiprocessors. - Per Stenström; Mats Brorsson; Fredrik Dahlgren; Håkan Grahn; Michel Dubois 001 (Computer, 1997)

VPPB - A Visualization and Performance Prediction Tool for Multithreaded Solaris Programs. - Magnus Broberg; Lars Lundberg; Håkan Grahn (IPPS/SPDP, 1998)

SimICS/Sun4m: A Virtual Workstation. - Peter S. Magnusson; Fredrik Larsson; Andreas Moestedt; Bengt Werner; Jim Nilsson; Per Stenström; Fredrik Lundholm; Magnus Karlsson 002; Fredrik Dahlgren; Håkan Grahn (USENIX ATC, 1998)

Some initial performance characteristics of three architectural styles. - Håkan Grahn; Jan Bosch (WOSP, 1998)

Visualization and Performance Prediction of Multithreaded Solaris Programs by Tracing Kernel Threads. - Magnus Broberg; Lars Lundberg; Håkan Grahn (IPPS/SPDP, 1999)

Comparative Evaluation of Latency-Tolerating and -Reducing Techniques for Hardware-Only and Software-Only Directory Protocols. - Håkan Grahn; Per Stenström (J. Parallel Distributed Comput., 2000)

An Allocation Strategy Using Shadow-processors and Simulation Technique. - Magnus Broberg; Lars Lundberg; Håkan Grahn (PDCS, 2001)

A Tool for Binding Threads to Processors. - Magnus Broberg; Lars Lundberg; Håkan Grahn (Euro-Par, 2001)

Performance Optimization Using Extended Critical Path Analysis in Multithreaded Programs on Multiprocessors. - Magnus Broberg; Lars Lundberg; Håkan Grahn (J. Parallel Distributed Comput., 2001)

A Novel Method for Adding Multiprocessor Support to a Large and Complex Uniprocessor Kernel. - Simon Kågström; Lars Lundberg; Håkan Grahn (IPDPS, 2004)

A comparative evaluation of hardware-only and software-only directory protocols in shared-memory multiprocessors. - Håkan Grahn; Per Stenström (J. Syst. Archit., 2004)

Automatic low overhead program instrumentation with the LOPI framework. - Simon Kågström; Håkan Grahn; Lars Lundberg (Interaction between Compilers and Computer Architectures, 2005)

Increasing the Efficiency of Fault Detection in Modified Code. - Piotr Tomaszewski; Lars Lundberg; Håkan Grahn (APSEC, 2005)

Evaluating Software Quality Attributes of Communication Components in an Automated Guided Vehicle System. - Frans Mårtensson; Håkan Grahn; Michael Mattsson (ICECCS, 2005)

Experiences from Implementing Multiprocessor Support for an Industrial Operating System Kernel. - Simon Kågström; Håkan Grahn; Lars Lundberg (RTCSA, 2005)

The Accuracy of Fault Prediction in Modified Code - Statistical Model vs. Expert Estimation. - Piotr Tomaszewski; Jim Håkansson; Lars Lundberg; Håkan Grahn (ECBS, 2006)

A Method for an Accurate Early Prediction of Faults in Modified Classes. - Piotr Tomaszewski; Håkan Grahn; Lars Lundberg (ICSM, 2006)

The application kernel approach - a novel approach for adding SMP support to uniprocessor operating systems. - Simon Kågström; Håkan Grahn; Lars Lundberg (Softw. Pract. Exp., 2006)

Fast kd -Tree Construction for 3D-Rendering Algorithms Like Ray Tracing. - Sajid Hussain; Håkan Grahn (ISVC (2), 2007)

Cibyl: an environment for language diversity on mobile devices. - Simon Kågström; Håkan Grahn; Lars Lundberg (VEE, 2007)

Improving Fault Detection in Modified Code - A Study from the Telecommunication Industry. - Piotr Tomaszewski; Lars Lundberg; Håkan Grahn (J. Comput. Sci. Technol., 2007)

Statistical models vs. expert estimation for fault prediction in modified code - an industrial case study. - Piotr Tomaszewski; Jim Håkansson; Håkan Grahn; Lars Lundberg (J. Syst. Softw., 2007)

Tracking Data Structures Coherency in Animated Ray Tracing: Kalman and Wiener Filters Approach. - Sajid Hussain; Håkan Grahn (ISVC (1), 2008)

Eliminating the freezing frames for the mobile user over unreliable wireless networks. - Hussein Muzahim Aziz; Håkan Grahn; Lars Lundberg (Mobility Conference, 2009)

The Design and Implementation of Multiprocessor Support for an Industrial Operating System Kernel. - Simon Kågström; Håkan Grahn; Lars Lundberg (Int. J. Comput. Their Appl., 2009)

Special Issue of the Journal of Parallel and Distributed Computing: Transactional Memory. - Håkan Grahn (J. Parallel Distributed Comput., 2009)

Streaming video as space - divided sub-frames over wireless networks. - Hussein Muzahim Aziz; Markus Fiedler; Håkan Grahn; Lars Lundberg (WMNC, 2010)

ParMiBench - An Open-Source Benchmark for Embedded Multiprocessor Systems. - Syed Muhammad Zeeshan Iqbal; Yuchen Liang; Håkan Grahn (IEEE Comput. Archit. Lett., 2010)

Transactional memory. - Håkan Grahn (J. Parallel Distributed Comput., 2010)

Acknowledgment to special issue reviewers. - Håkan Grahn (J. Parallel Distributed Comput., 2010)

CudaRF: A CUDA-based implementation of Random Forests. - Håkan Grahn; Niklas Lavesson; Mikael Hellborg Lapajne; Daniel Slat (AICCSA, 2011)

A methodology for evaluating JavaScript execution behavior in interactive web applications. - Jan Kasper Martinsen; Håkan Grahn (AICCSA, 2011)

A Comparative Evaluation of JavaScript Execution Behavior. - Jan Kasper Martinsen; Håkan Grahn; Anders Isberg (ICWE, 2011)

Towards an efficient approach for resource sharing in real-time multiprocessor systems. - Moris Behnam; Farhang Nemati; Thomas Nolte; Håkan Grahn (SIES, 2011)

Thread-level speculation as an optimization technique in Web Applications - Initial results. - Jan Kasper Martinsen; Håkan Grahn (SIES, 2011)

A Parallel Heuristic for Fast Train Dispatching during Railway Traffic Disturbances: Early Results. - Syed Muhammad Zeeshan Iqbal; Håkan Grahn; Johanna Törnquist Krasemann (ICORES, 2012)

Adapting the Streaming Video Based on the Estimated Position of the Region of Interest. - Hussein Muzahim Aziz; Markus Fiedler; Håkan Grahn; Lars Lundberg (SITIS, 2012)

Eliminating the effect of freezing frames on user perceptive by using a time interleaving technique. - Hussein Muzahim Aziz; Markus Fiedler; Håkan Grahn; Lars Lundberg (Multim. Syst., 2012)

The Success Factors Powering Industry-Academia Collaboration. - Claes Wohlin; Aybüke Aurum; Lefteris Angelis; Laura Phillips; Yvonne Dittrich; Tony Gorschek; Håkan Grahn; Kennet Henningsson; Simon Kågström; Graham Low; Per Rovegard; Piotr Tomaszewski; et al. (IEEE Softw., 2012)

Compressing video based on region of interest. - Hussein Muzahim Aziz; Markus Fiedler; Håkan Grahn; Lars Lundberg (EUROCON, 2013)

Using Speculation to Enhance JavaScript Performance in Web Applications. - Jan Kasper Martinsen; Håkan Grahn; Anders Isberg (IEEE Internet Comput., 2013)

Improving image quality by SSIM based increase of run-length zeros in GPGPU JPEG encoding. - Stefan Petersson; Håkan Grahn (ACSSC, 2014)

An argument for thread-level speculation and just-in-time compilation in the Google's V8 JavaScript engine. - Jan Kasper Martinsen; Håkan Grahn; Anders Isberg (Conf. Computing Frontiers, 2014)

Reducing Memory in Software-Based Thread-Level Speculation for JavaScript Virtual Machine Execution of Web Applications. - Jan Kasper Martinsen; Håkan Grahn; Anders Isberg; Henrik Sundstrom (HPCC/CSS/ICESS, 2014)

Heuristics for Thread-Level Speculation in Web Applications. - Jan Kasper Martinsen; Håkan Grahn; Anders Isberg (IEEE Comput. Archit. Lett., 2014)

The Effects of Parameter Tuning in Software Thread-Level Speculation in JavaScript Engines. - Jan Kasper Martinsen; Håkan Grahn; Anders Isberg (ACM Trans. Archit. Code Optim., 2014)

Energy Efficiency in Data Stream Mining. - Eva García Martín; Niklas Lavesson; Håkan Grahn (ASONAM, 2015)

Cache Support in a High Performance Fault-Tolerant Distributed Storage System for Cloud and Big Data. - Lars Lundberg; Håkan Grahn; Dragos Ilie; Christian Melander (IPDPS Workshops, 2015)

Accelerating Graphics in the Simics Full-System Simulator. - Eric Nilsson; Daniel Aarno; Erik Carstensen; Håkan Grahn (MASCOTS, 2015)

Feature Detection and Description using a Harris-Hessian/FREAK Combination on an Embedded GPU. - Max Danielsson; Thomas Sievert; Håkan Grahn; Jim Rasmusson (ICPRAM, 2016)

Color Demosaicing Using Structural Instability. - Stefan Petersson; Håkan Grahn; Jim Rasmusson (ISM, 2016)

Handwriting image enhancement using local learning windowing, Gaussian Mixture Model and k-means clustering. - Huseyin Kusetogullari; Håkan Grahn; Niklas Lavesson (ISSPIT, 2016)

Identification of Energy Hotspots: A Case Study of the Very Fast Decision Tree. - Eva García Martín; Niklas Lavesson; Håkan Grahn (GPC, 2017)

Detection of Residents' Abnormal Behaviour by Analysing Energy Consumption of Individual Households. - Christian Nordahl; Marie Persson; Håkan Grahn (ICDM Workshops, 2017)

Recommendations for marketing campaigns in telecommunication business based on the footprint analysis: Who is a good client? - Julia Sidorova; Lars Lundberg; Oliver Rosander; Håkan Grahn; Lars Skold (IISA, 2017)

Object recognition using shape growth pattern. - Abbas Cheddad; Huseyin Kusetogullari; Håkan Grahn (ISPA, 2017)

Energy Efficiency in Machine Learning: A position paper. - Eva García Martín; Niklas Lavesson; Håkan Grahn; Veselka Boeva (SAIS, 2017)

Combining thread-level speculation and just-in-time compilation in Google's V8 JavaScript engine. - Jan Kasper Martinsen; Håkan Grahn; Anders Isberg (Concurr. Comput. Pract. Exp., 2017)

Document Image Binarization Using Recurrent Neural Networks. - Florian Westphal; Niklas Lavesson; Håkan Grahn (DAS, 2018)

Hoeffding Trees with Nmin Adaptation. - Eva García-Martín; Niklas Lavesson; Håkan Grahn; Emiliano Casalicchio; Veselka Boeva (DSAA, 2018)

User Feedback and Uncertainty in User Guided Binarization. - Florian Westphal; Håkan Grahn; Niklas Lavesson (ICDM Workshops, 2018)

A Minimum Spanning Tree Clustering Approach for Outlier Detection in Event Sequences. - Shahrooz Abghari; Veselka Boeva; Niklas Lavesson; Håkan Grahn; Selim Ickin; Jörgen Gustafsson (ICMLA, 2018)

How to Measure Energy Consumption in Machine Learning Algorithms. - Eva García-Martín; Niklas Lavesson; Håkan Grahn; Emiliano Casalicchio; Veselka Boeva (Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML, 2018)

Comparing Two Generations of Embedded GPUs Running a Feature Detection Algorithm. - Max Danielsson; Håkan Grahn; Thomas Sievert; Jim Rasmusson (CoRR, 2018)

Efficient document image binarization using heterogeneous computing and parameter tuning. - Florian Westphal; Håkan Grahn; Niklas Lavesson (Int. J. Document Anal. Recognit., 2018)

A Case for Guided Machine Learning. - Florian Westphal; Niklas Lavesson; Håkan Grahn (CD-MAKE, 2019)

Higher Order Mining for Monitoring District Heating Substations. - Shahrooz Abghari; Veselka Boeva; Jens Brage; Christian Johansson; Håkan Grahn; Niklas Lavesson (DSAA, 2019)

Profiling of Household Residents' Electricity Consumption Behavior Using Clustering Analysis. - Christian Nordahl; Veselka Boeva; Håkan Grahn; Marie Persson Netz (ICCS (5), 2019)

Learning Character Recognition with Graph-Based Privileged Information. - Florian Westphal; Niklas Lavesson; Håkan Grahn (ICDAR, 2019)

Estimation of energy consumption in machine learning. - Eva García-Martín; Crefeda Faviola Rodrigues; Graham D. Riley; Håkan Grahn (J. Parallel Distributed Comput., 2019)

Finding a Healthy Equilibrium of Geo-demographic Segments for a Telecom Business: Who Are Malicious Hot-Spotters? - Julia Sidorova; Oliver Rosander; Lars Sköld; Håkan Grahn; Lars Lundberg (Machine Learning Paradigms, 2019)

Representative Image Selection for Data Efficient Word Spotting. - Florian Westphal; Håkan Grahn; Niklas Lavesson (DAS, 2020)

Multi-view Clustering Analyses for District Heating Substations. - Shahrooz Abghari; Veselka Boeva; Jens Brage; Håkan Grahn (DATA, 2020)

ARDIS: a Swedish historical handwritten digit dataset. - Huseyin Kusetogullari; Amir Yavariabdi; Abbas Cheddad; Håkan Grahn; Johan Hall (Neural Comput. Appl., 2020)

Blind Correction of Lateral Chromatic Aberration in Raw Bayer Data. - Stefan Petersson; Håkan Grahn; Jim Rasmusson (IEEE Access, 2021)

Editorial to the Special Issue on Big Data in Industrial and Commercial Applications. - Lars Lundberg; Håkan Grahn; Valeria Cardellini; Andreas Polze; Sogand Shirinbab (Big Data Res., 2021)

Energy-aware very fast decision tree. - Eva García-Martín; Niklas Lavesson; Håkan Grahn; Emiliano Casalicchio; Veselka Boeva (Int. J. Data Sci. Anal., 2021)

Recent Developments in Low-Power AI Accelerators: A Survey. - Christoffer Åleskog; Håkan Grahn; Anton Borg (Algorithms, 2022)

Research Trends, Enabling Technologies and Application Areas for Big Data. - Lars Lundberg; Håkan Grahn (Algorithms, 2022)

EvolveCluster: an evolutionary clustering algorithm for streaming data. - Christian Nordahl; Veselka Boeva; Håkan Grahn; Marie Persson Netz (Evol. Syst., 2022)

MultiStream EvolveCluster. - Christian Nordahl; Veselka Boeva; Håkan Grahn (Canadian AI, 2023)

Preliminary Results on the use of Artificial Intelligence for Managing Customer Life Cycles. - Jim Ahlstrand; Martin Boldt; Anton Borg; Håkan Grahn (SAIS, 2023)

HINTS: Human-Centered Intelligent Realities. - Veronica Sundstedt; Veselka Boeva; Hans-Jürgen Zepernick; Prashant Goswami; Abbas Cheddad; Kurt Tutschku; Håkan Grahn; Emiliano Casalicchio; Markus Fiedler; Emilia Mendes; Shahrooz Abghari; Yan Hu; et al. (SAIS, 2023)

Avoiding Detection by Hostile Nodes in Airborne Tactical Networks. - Dragos Ilie; Håkan Grahn; Lars Lundberg; Alexander Westerhagen; Bo Granbom; Anders Höök (Future Internet, 2023)

Dynamic Forward Error Correction Coding to Avoid Detection in Airborne Tactical Networks. - Lars Lundberg; Alexander Westerhagen; Dragos Ilie; Håkan Grahn; Bo Granbom (ICMCIS, 2024)

Predicting B2B Customer Churn using a Time Series Approach. - Jim Ahlstrand; Martin Boldt; Anton Borg; Håkan Grahn (IDSTA, 2024)

A Comparative Study on Simulation Frameworks for AI Accelerator Evaluation. - Christoffer Åleskog; Håkan Grahn; Anton Borg (IPDPS (Workshops), 2024)

Using Transformers for B2B Contractual Churn Prediction Based on Customer Behavior Data. - Jim Ahlstrand; Anton Borg; Håkan Grahn; Martin Boldt (ICEIS (1), 2025)

Evaluating Short Forward Error Correction Codes for Avoiding Detection in Airborne Networks. - Lars Lundberg; Alexander Westerhagen; Dragos Ilie; Håkan Grahn; Bo Granbom; Anna Svärd Olsson (ICMCIS, 2025)

On Evaluation of Data Stream Clustering Algorithms: A Survey. - Christian Nordahl; Veselka Boeva; Håkan Grahn; Marie Persson Netz (IEEE Access, 2025)