Håkan Grahn

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Lars LundbergBlekinge Institute of TechnologyVerified email at bth.se
Per StenströmChalmers University of TechnologyVerified email at chalmers.se
Niklas LavessonProfessor of Software Engineering - Applied AI/ML at Blekinge Institute of TechnologyVerified email at bth.se
Eva García-MartínMachine Learning Engineer at SpotifyVerified email at spotify.com
Veselka BoevaProfessor of Computer Science, Blekinge Institute of TechnologyVerified email at bth.se
Anders IsbergPrincipal Engineer Research & Standardisation, Sony R&D Center, Lund LaboratoryVerified email at sony.com
Piotr TomaszewskiRISE Research Institutes of SwedenVerified email at ri.se
Simon KågströmVerified email at netinsight.net
Shahrooz AbghariPh.D. in Computer Science, Blekinge Institute of TechnologyVerified email at bth.se
Syed Muhammad Zeeshan IqbalSchool of Computing, Blekinge Institute of Technology, Karlskrona, SwedenVerified email at bth.se
Florian WestphalAssistant Professor, Jönköping UniversityVerified email at ju.se
Michael MattssonProfessor of Software Engineering, SERL, Blekinge Institute of Technology, SwedenVerified email at bth.se
Christian NordahlPh.D in Computer Science, Blekinge Institute of TechnologyVerified email at bth.se
Abbas Cheddad (Docent / SMIEEE)Associate Professor and a Group Leader at Blekinge Institute of TechnologyVerified email at bth.se
Mats BrorssonUniversity of LuxembourgVerified email at uni.lu
Huseyin KusetogullariAssociate Professor in Computer ScienceVerified email at bth.se
Claes WohlinProfessor Emeritus of Software Engineering, SERL-Sweden, Blekinge Institute of Technology, SwedenVerified email at bth.se
Johanna Törnquist KrasemannAssociate Professor, Blekinge Institute of TechnologyVerified email at bth.se
Markus FiedlerProfessor of Teletraffic Systems, Blekinge Institute of TechnologyVerified email at bth.se
Emiliano CasalicchioSapienza University of Rome - Computer Science Dep.Verified email at uniroma1.it

Håkan Grahn

Other namesHåkan Nilsson

Professor of Computer Engineering, Blekinge Institute of Technology, Sweden

Verified email at bth.se - Homepage

Parallel programming Computer Architecture Machine Learning AI Image Processing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Estimation of energy consumption in machine learning E García-Martín, CF Rodrigues, G Riley, H Grahn Journal of Parallel and Distributed Computing 134, 75-88, 2019	536	2019
SimICS/sun4m: A virtual workstation PS Magnusson, F Dahlgren, H Grahn, M Karlsson, F Larsson, F Lundholm, ... Proceedings of the annual conference on USENIX Annual Technical Conference …, 1998	224	1998
Success Factors Powering Industry-Academia Collaboration in Software Research C Wohlin, A Aurum, L Angelis, L Phillips, Y Dittrich, T Gorschek, H Grahn, ... IEEE Software 29 (2), 67-73, 2012	188*	2012
Parmibench-an open-source benchmark for embedded multiprocessor systems SMZ Iqbal, Y Liang, H Grahn IEEE Computer Architecture Letters 9 (2), 45-48, 2010	159	2010
The CacheMire Test Bench - A Flexible and Effective Approach for Simulation of Multiprocessors M Brorsson, F Dahlgren, H Nilsson, P Stenström Proc. of the 26th Annual Simulation Symposium 26, 41-49, 1993	121	1993
Software architecture evaluation methods for performance, maintainability, testability, and portability M Mattsson, H Grahn, F Mårtensson Second International Conference on the Quality of Software Architectures, 18, 2006	84	2006
ARDIS: a Swedish historical handwritten digit dataset H Kusetogullari, A Yavariabdi, A Cheddad, H Grahn, J Hall Neural Computing and Applications 32 (21), 16505-16518, 2020	78	2020
Implementation and evaluation of update-based cache protocols under relaxed memory consistency models H Grahn, P Stenström, M Dubois Future Generation Computer Systems 11 (3), 247-271, 1995	77	1995
The Scalable Tree Protocol - A Cache Coherence Approach for Large-Scale Multiprocessors H Nilsson, P Stenström Proc. of the Fourth IEEE Symp. on Parallel and Distributed Processing, 498-506, 1992	67	1992
Document image binarization using recurrent neural networks F Westphal, N Lavesson, H Grahn 2018 13th IAPR International Workshop on Document Analysis Systems (DAS …, 2018	63	2018
CudaRF: A CUDA-based Implementation of Random Forests H Grahn, N Lavesson, MH Lapajne, D Slat Proc. of the 9th ACS/IEEE Int'l Conference on Computer Systems and …, 2011	63	2011
Statistical models vs. expert estimation for fault prediction in modified code–an industrial case study P Tomaszewski, J Håkansson, H Grahn, L Lundberg Journal of Systems and Software 80 (8), 1227-1238, 2007	50	2007
An adaptive update-based cache coherence protocol for reduction of miss rate and traffic H Nilsson, P Stenström International Conference on Parallel Architectures and Languages Europe, 363-374, 1994	44	1994
Efficient strategies for software-only protocols in shared-memory multiprocessors H Grahn, P Stenström Proc. 22nd Int'l Symp. on Computer Architecture (ISCA'95), 38-47, 1995	37	1995
Evaluation of a competitive-update cache coherence protocol with migratory data detection H Grahn, P Stenström Journal of Parallel and Distributed Computing 39 (2), 168-180, 1996	36	1996
A comparative evaluation of JavaScript execution behavior JK Martinsen, H Grahn, A Isberg Web Engineering, 399-402, 2011	33	2011
How to measure energy consumption in machine learning algorithms E García-Martín, N Lavesson, H Grahn, E Casalicchio, V Boeva ECML PKDD 2018 Workshops: Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe …, 2019	31	2019
Using Speculation to Enhance JavaScript Performance in Web Applications JK Martinsen, H Grahn, A Isberg IEEE Internet Computing 17 (2), 10-19, 2013	30	2013
Comparing four static analysis tools for java concurrency bugs MA Al Mamun, A Khanam, H Grahn, R Feldt Third Swedish Workshop on Multi-Core Computing (MCC-10), 18-19, 2010	30	2010
Some initial performance characteristics of three architectural styles H Grahn, J Bosch WOSP'98: Proc. of the 1st Int'l workshop on Software and Performance, 197-198, 1998	28*	1998

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