PhD Student In Computer Architecture at Chalmers University of Technology
Gothenburg, Sweden
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Summary
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Senior
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Top School
Magnus Östgren is a PhD student in Computer Architecture at Chalmers University of Technology with 11 years of practical experience in embedded systems and FPGA development. His research focuses on reconfigurable computing and near-data processing using FPGA-based accelerators to reduce data movement and latency for data-intensive applications like stream aggregation. Before his doctorate he worked as a systems engineer at Unibap on new space projects and has hands-on experience automating EDA tool flows—adding floorplan support and Libero SoC integrations to the edalize build process. He also has kernel-level experience from an Ericsson internship and a background in robotics from an M.Sc., which gives him a broad systems perspective from hardware to software. Based in Gothenburg, he combines academic rigor with practical build-and-release skills that help bridge research prototypes to production-capable FPGA solutions.
11 years of coding experience
1 year of employment as a software developer
Master of Science in Engineering (M.Sc.Eng.), Robotics, Master of Science in Engineering (M.Sc.Eng.), Robotics at Mälardalen University
Erasmus exchange, Teilstudium Elektrotechnik und Informationstechnik, Erasmus exchange, Teilstudium Elektrotechnik und Informationstechnik at Technische Universität Chemnitz
Freestanding courses, Linux, Freestanding courses, Linux at Umeå University
Upper secondary school, Nature and science, Upper secondary school, Nature and science at Lugnetgymnasiet
Contributions:2 reviews, 6 commits, 1 PR in 10 days
Contributions summary:Magnus primarily focused on modifying and improving the build process for the `edalize` project, which is an abstraction library for interfacing EDA tools. Their contributions included adding support for floorplan constraints, fixing paths, and integrating tool options for different Libero SoC versions. These changes involved modifying Tcl scripts and Python files related to project configuration and build automation. The impact of their work is enhanced compatibility and improved build process.
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