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Andreas de Blanche
Andreas de Blanche
Associate Professor, University West, Sweden
Verified email at deblanche.se
Title
Cited by
Cited by
Year
Thing-to-thing electricity micro payments using blockchain technology
T Lundqvist, A De Blanche, HRH Andersson
2017 Global Internet of Things Summit (GIoTS), 1-6, 2017
1092017
Addressing characterization methods for memory contention aware co-scheduling
A De Blanche, T Lundqvist
The Journal of Supercomputing 71 (4), 1451-1483, 2015
292015
Terrible twins: A simple scheme to avoid bad co-schedules
A Blanche, T Lundqvist
Proceedings of the 1st COSH Workshop on Co-Scheduling of HPC Applications, 25, 2016
122016
A methodology for estimating co-scheduling slowdowns due to memory bus contention on multicore nodes
A De Blanche, T Lundqvist
International conference on parallel and distributed computing and networks, 2014
102014
Disallowing same-program co-schedules to improve efficiency in quad-core servers
A de Blanche, T Lundqvist
Proceedings of the Joined Workshops COSH 2017 and VisorHPC 2017, 2017
72017
Node Sharing for Increased Throughput and Shorter Runtimes–an Industrial Co-Scheduling Case Study
A de Blanche, T Lundqvist
Proceedings of the 3rd Workshop on Co-Scheduling of HPC Applications (COSH 2018), 2018
62018
Method for Experimental Measurement of an Applications Memory Bus Usage.
A de Blanche, S Mankefors-Christiernin
PDPTA, 415-423, 2010
62010
Integration and Optimization of a 64-core HPC For FEM-and/or CFD Welding Simulations
P Lindström, A de Blanche
NAFEMS: Improving Simulation Prediction by Using Advanced Material Models, 13-18, 2013
42013
Exhaustion dominated performance: a first attempt
N Namaki, A de Blanche, S Mankefors-Christiernin
Proceedings of the 2009 ACM symposium on Applied Computing, 1011-1012, 2009
32009
Exhaustion dominated performance: an empirical method evalutation
N Namaki, A de Blanche, S Mankefors-Christiernin
32009
Operativsystem: teori och praktiskt handhavande
A De Blanche
Studentlitteratur, 2008
32008
Artificial and Human Intelligence through learning: how industry applications need human-in-the-loop
U Lundh Snis, A de Blanche, KM Eriksson, M Hattinger, AK Olsson, ...
VILÄR. 3–4 December 2020 University West, Trollhättan, 24-26, 2020
22020
Minimizing Total Cost ($$) and Maximizing Throughput: A Metric for Node versus Core Usage in Multi-Core Clusters
A de Blanche, S Mankefors-Christiernin
Proceedings of the International conference on Parallel and Distributed …, 2010
22010
Software code quality with UML design models
L Ekberg, S Mankefors-Christiernin, A Boklund
Proc. Conference on Software Engineering Research and Practice in Sweden, 2004
22004
Flipping the data center network: Increasing east-west capacity using existing hardware
HRH Andersson, A De Blanche, T Lundqvist
2017 IEEE 42nd Conference on Local Computer Networks (LCN), 211-214, 2017
12017
Initial Formulation of why Disallowing Same Program Co-schedules Improves Performance
A De Blanche, T Lundqvist
Co-Scheduling of HPC Applications 28, 95, 2017
12017
A Slowdown Prediction Method to Improve Memory Aware Scheduling
A De Blanche
PQDT-Global, 2016
12016
A tool for processor dependency characterization of hpc applications
N Namaki, A de Blanche, S Mankefors-Christiernin
International Conference HPC Asia, 2009
12009
Reviewing human-centric themes in intelligent manufacturing research
M Hattinger, A de Blanche, AK Olsson, L Carlsson, U Lundh Snis, ...
WIL'22 International Conference on Work Integrated Learning, 7-9 December …, 2022
2022
COMPARING THE CDIO STANDARDS WITH THE WORK-INTEGRATED LEARNING CERTIFICATION
T Lundqvist, A Loconsole, I Tano, A de Blanche
Cover Design: Ágústa Sigurlaug Guðjónsdóttir, 37, 2022
2022
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