Magnus Ekman Ph.D.   E-mail: mekman@ce.chalmers.se Phone: +46 (0)31 634907

Department of Computer Engineering
School of Electrical and Computer Engineering
Chalmers University of Technology
Göteborg
Sweden

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Research area

• Energy-efficient computer architecture.
• Statistical techniques to speed up simulation of computer architecture.
• Techniques to manage large memories in computer systems.

 

Academic degrees

•  Ph.D. in Computer Engineering, Chalmers University of Technology, 2004.
•  Licentiate of Engineering, Chalmers University of Technology, 2003. (Swedish degree between M.Sc. and Ph.D.)
•  M.Sc. in Computer Science and Engineering, Chalmers University of Technology, 2000.
•  M.Sc. in Financial Economics, Gothenburg University, 2005.
•  B.Sc. in Business Statistics, Gothenburg University, 2005.

 

Publications

Computer Architecture

• Magnus Ekman, Fredrik Dahlgren and Per Stenström, "Evaluation of Snoop-Energy Reduction Techniques for Chip-Multiprocessors", Workshop on Duplicating, Deconstructing, and Debunking in conjunction with ISCA-2002.

• Magnus Ekman, Fredrik Dahlgren and Per Stenström, "TLB and Snoop Energy-Reduction using Virtual Caches in Low-Power Chip Multiprocessors", International Symposium on Low-Power Electronics and Design, 2002.

• Magnus Ekman and Per Stenström, "Performance and Power Impact of Issue-width in Chip-Multiprocessor Cores", International Conference on Parallel Processing, 2003.

• Magnus Ekman and Per Stenström, "Enhancing Multiprocessor Architecture Simulation Speed using Matched-Pair Comparison", International Symposium on Performance Analysis of Systems and Software (ISPASS), 2005.

• Magnus Ekman and Per Stenström, "A Cost-Effective Main Memory Organization for Future Servers", International Parallel and Distributed Processing Symposium (IPDPS), 2005.

• Magnus Ekman and Per Stenström, "A Robust Main Memory Compression Scheme", to be presented at International Symposium on Computer Architecture (ISCA), 2005".

Evolutionary Computation

• Magnus Ekman, Andreas Magnusson and Peter Nordin, "Two Approaches for High-level Evolvable Hardware using Function Blocks", poster at Genetic and Evolutionary Computation Conference (GECCO), July 2001.
  References
  Full paper (Tech Report)

• Magnus Ekman and Peter Nordin, "Evolvable Hardware using State-machines", Graduate Student Workshop at Genetic and Evolutionary Computation Conference (GECCO), July 2001.

Reports

• Magnus Ekman, "Hardware Evolution". Master Thesis Report in Computer Science and Engineering, October 2000.
• Magnus Ekman, "Performance and Energy Aware Design Trade-Offs in Chip-Multiprocessors". Licentiate Thesis Report in Computer Architecture, August 2003.
• Magnus Ekman and Markus Bengtsson, "Adaptive Rule-Based Stock Trading - A Test of the Efficient Market Hypothesis". Master Thesis Report in Financial Economics, January 2004.
• Magnus Ekman Fredrik Warg and Jim Nilsson, "An In-Depth Look at Computer Performance Growth", Tecnical Report 04-09, Department of Computer Engineering, Chalmers University of Technology.
• Magnus Ekman, "Strategies to Reduce Energy and Resources in Chip Multiprocessor Systems". Ph.D. Thesis in Computer Architecture, December 2004.

Other work

• (in Swedish) Magnus Ekman, Jonas Jalminger och Per Stenström "Snabba Energisnåla Datorsystem". Poster inför invigningen av Sektionen för Data- och informationsteknik.

Teaching

Other information

More private stuff and links

URL of this page: http://www.ce.chalmers.se/staff/mekman/
Last modified November 7, 2001 by Magnus Ekman (responsible for this page)
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