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
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
Shahrooz AbghariPh.D. in Computer Science, Blekinge Institute of TechnologyVerified email at bth.se
Christian NordahlPh.D student in Computer Science, Blekinge Institute of TechnologyVerified email at bth.se
Mats BrorssonUniversity of LuxembourgVerified email at uni.lu
Abbas Cheddad (Docent / SMIEEE)Associate Professor and a Group Leader at Blekinge Institute of TechnologyVerified email at bth.se
Claes WohlinEmeritus Professor of Software Engineering, SERL-Sweden, Blekinge Institute of Technology, SwedenVerified email at bth.se
Markus FiedlerProfessor of Teletraffic Systems, Blekinge Institute of TechnologyVerified email at bth.se
Huseyin KusetogullariAssociate Professor in Computer ScienceVerified email at bth.se
Johanna Törnquist KrasemannAssistant Professor, 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


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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	395	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	223	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	176*	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	156	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	119	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	78	2006
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	73	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
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	62	2020
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	60	2011
Document image binarization using recurrent neural networks F Westphal, N Lavesson, H Grahn 2018 13th IAPR International Workshop on Document Analysis Systems (DAS …, 2018	53	2018
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
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	39	1995
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	38	1994
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	34	1996
A comparative evaluation of JavaScript execution behavior JK Martinsen, H Grahn, A Isberg Web Engineering, 399-402, 2011	33	2011
Using Speculation to Enhance JavaScript Performance in Web Applications JK Martinsen, H Grahn, A Isberg IEEE Internet Computing 17 (2), 10-19, 2013	31	2013
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	30*	1998
A methodology for evaluating JavaScript execution behavior in interactive web applications JK Martinsen, H Grahn Proc. of the 9th ACS/IEEE Int'l Conf. on Computer Systems And Applications …, 2011	28	2011
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	27	2010

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