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Håkan Grahn
Håkan Grahn
Other namesHåkan Nilsson
Professor of Computer Engineering, Blekinge Institute of Technology, Sweden
Verified email at bth.se - Homepage
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
5022019
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
2231998
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
184*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
1582010
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
1201993
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
812006
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
772020
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
751995
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
671992
Document image binarization using recurrent neural networks
F Westphal, N Lavesson, H Grahn
2018 13th IAPR International Workshop on Document Analysis Systems (DAS …, 2018
632018
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
632011
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
492007
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
431994
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
371995
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
351996
A comparative evaluation of JavaScript execution behavior
JK Martinsen, H Grahn, A Isberg
Web Engineering, 399-402, 2011
332011
Using Speculation to Enhance JavaScript Performance in Web Applications
JK Martinsen, H Grahn, A Isberg
IEEE Internet Computing 17 (2), 10-19, 2013
302013
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
292010
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
282019
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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