2010 - IEEE Fellow For contributions to compilation techniques and embedded system design
2009 - ACM Senior Member
Peter Marwedel mainly focuses on Embedded system, Parallel computing, Software, Compiler and Computer architecture. His research in the fields of Industrial data processing overlaps with other disciplines such as Predictability. His study in Parallel computing is interdisciplinary in nature, drawing from both Linear programming and Reduction.
His research in Software intersects with topics in Fault tolerance, Dependability, Key, Interfacing and Integer programming. His Compiler research integrates issues from Reduced instruction set computing and Code. The various areas that Peter Marwedel examines in his Computer architecture study include Microcode, Software system, Electronic design automation and Code generation.
His primary areas of investigation include Parallel computing, Embedded system, Compiler, Computer architecture and Software. The Parallel computing study which covers Integer programming that intersects with Linear programming. Peter Marwedel works mostly in the field of Embedded system, limiting it down to concerns involving Embedded software and, occasionally, MPSoC.
His Compiler research is multidisciplinary, incorporating perspectives in Heuristics and Code generation. His Computer architecture research incorporates themes from Digital signal processing and Instruction set. His studies in Software integrate themes in fields like Key, Software engineering and Design flow.
His primary areas of study are Embedded system, Cyber-physical system, Software, Domain and Scheduling. Embedded system is closely attributed to Compiler in his work. His research investigates the connection with Cyber-physical system and areas like Computer security which intersect with concerns in Embedded system design, Real-time operating system and State.
His Software research includes themes of Fault tolerance and Automatic parallelization. Peter Marwedel has researched Domain in several fields, including Engineering management, Curriculum development and Vlsi test. His Scheduling study integrates concerns from other disciplines, such as Algorithm, Optimization problem, Problem complexity, Mathematical optimization and Exploit.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Embedded System Design: Embedded Systems Foundations of Cyber-Physical Systems, and the Internet of Things
Scratchpad memory: a design alternative for cache on-chip memory in embedded systems
Rajeshwari Banakar;Stefan Steinke;Bo-Sik Lee;M. Balakrishnan.
international symposium on open collaboration (2002)
Embedded System Design
Embedded System Design : Embedded Systems Foundations of Cyber-Physical Systems
Assigning Program and Data Objects to Scratchpad for Energy Reduction
S. Steinke;L. Wehmeyer;Bo-Sik Lee;P. Marwedel.
design, automation, and test in europe (2002)
Code Generation for Embedded Processors
Peter Marwedel;Gert Goossens.
An Algorithm for Hardware/Software Partitioning Using Mixed Integer Linear Programming
Ralf Niemann;Peter Marwedel.
Design Automation for Embedded Systems (1997)
Algorithms for address assignment in DSP code generation
Rainer Leupers;Peter Marwedel.
international conference on computer aided design (1996)
Retargetable Code Generation Based on Structural Processor Description
Rainer Leupers;Peter Marwedel.
Design Automation for Embedded Systems (1998)
Dynamic overlay of scratchpad memory for energy minimization
Manish Verma;Lars Wehmeyer;Peter Marwedel.
international conference on hardware/software codesign and system synthesis (2004)
Profile was last updated on December 6th, 2021.
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