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Scalable Computing Hardware

The group Scalable Computing Hardware develops a trustworthy scalable multiprocessor system-on-chip (MPSoC) designed for secure and energy-efficient data processing in networked devices.

Our research focuses on security concepts in MPSoC architectures to isolate various parallel applications and to minimize the impact of malicious attacks or software faults.

The processor platform provides the necessary hardware components required for a microkernel-based operating system, developed in close collaboration with the group Composable Operating Systems within the research area Trustworthy Digital Architectures.

The MPSoC is realized as an FPGA implementation as well as a silicon research chip:

  • The FPGA-based solution serves as a research prototype, allowing us to test and refine the latest advancements in our architecture. 

    Our development boards are based on state-of-the-art high-end technology, providing the necessary system performance.
  • The silicon research chip enables the real-world evaluation of power consumption and efficiency, particularly for safety-critical applications. To ensure high performance and compatibility with networked systems, we optimize our architecture for higher clock frequencies and standardized communication interfaces. 

    We use cutting-edge technology nodes from leading semiconductor manufacturers in Silicon Saxony, Dresden, specifically optimized for ultra energy-efficient applications.

Through this work, we aim to enhance the trustworthiness of modern computing hardware, ensuring secure and efficient processing for networked applications.

Who we are

Dr.-Ing.  Michael Raitza Research Group Leader

Dr.-Ing.  Sebastian Haas Senior Researcher

Dr.-Ing.  Mattis Hasler Senior Researcher

M. Sc.  Muhammad Ali Associate Researcher

M. Sc.  Christopher Dunkel Associate Researcher

Dr.  Viktor Razilov Associate Researcher

M. Tech.  Yogesh Verma Associate Researcher

B.Sc.  Rishabh Aalayathil Student Assistant

B.Eng.  Chandan Singh Student Assistant

Prof. Dr.-Ing.  Diana Göhringer BI Research Fellow

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Publications

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