Marcus Lundberg
Coordinator at Department of Cell and Molecular Biology; NBIS - National Bioinformatics Infrastructure Sweden
- E-mail:
- marcus.lundberg@uppmax.uu.se
- Visiting address:
- Husargatan 3
75237 Uppsala - Postal address:
- Box 596
75124 Uppsala
Coordinator at Department of Information Technology; Uppsala Multidisciplinary Centre for Advanced Computational Science
- Telephone:
- +46 18 471 62 01
- E-mail:
- marcus.lundberg@uppmax.uu.se
- Visiting address:
- Hus 10, Regementsvägen 10
- Postal address:
- Box 524
751 20 UPPSALA
Short presentation
I am coordinator for advanced user support at UPPMAX. Among other things, I am responsible for organising user training events and other activities that engage the application experts at UPPMAX. My focus as an application expert is high-performance parallel programming and algorithm development.
Publications
Selection of publications
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Dynamic autotuning of adaptive fast multipole methods on hybrid multicore CPU and GPU systems
Part of SIAM Journal on Scientific Computing, 2014
-
Scientific computing on hybrid architectures
2013
-
Efficiently implementing Monte Carlo electrostatics simulations on multicore accelerators
Part of Applied Parallel and Scientific Computing, p. 379-388, 2012
-
A simple model for tuning tasks
Part of Proc. 4th Swedish Workshop on Multi-Core Computing, p. 45-49, 2011
Recent publications
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Scaling predictive modeling in drug development with cloud computing
Part of Journal of Chemical Information and Modeling, p. 19-25, 2015
-
Dynamic autotuning of adaptive fast multipole methods on hybrid multicore CPU and GPU systems
Part of SIAM Journal on Scientific Computing, 2014
-
Parallel implementation of the Sherman–Morrison matrix inverse algorithm
Part of Applied Parallel and Scientific Computing, p. 206-219, 2013
-
Scientific computing on hybrid architectures
2013
-
Efficiently parallel implementation of the inverse Sherman–Morrison algorithm
2012
All publications
Articles in journal
-
Scaling predictive modeling in drug development with cloud computing
Part of Journal of Chemical Information and Modeling, p. 19-25, 2015
-
Dynamic autotuning of adaptive fast multipole methods on hybrid multicore CPU and GPU systems
Part of SIAM Journal on Scientific Computing, 2014
Comprehensive licentiate thesis
Conference papers
-
Parallel implementation of the Sherman–Morrison matrix inverse algorithm
Part of Applied Parallel and Scientific Computing, p. 206-219, 2013
-
Efficiently implementing Monte Carlo electrostatics simulations on multicore accelerators
Part of Applied Parallel and Scientific Computing, p. 379-388, 2012
-
A simple model for tuning tasks
Part of Proc. 4th Swedish Workshop on Multi-Core Computing, p. 45-49, 2011