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 337
751 05 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
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
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