Seminar on Development and Integration of Hardware Accelerators (IN2107)

Dirk Stober and Xiaorang Guo


Kick-off Meeting mid October

Kick-off meeting:

Tue 17.10.2023 16:00-18:00 (01.06.020)


Fri. 26.01.2024 09:00-11:00 (01.06.011)

Fri. 02.02.2024 09:00-11:00 (01.06.011)

Language: English
Type: Seminar, 2SWS

Matching System

Questions:  Contact dirk.stober(at)


This course is part of the BB-KI (Brandenburg / Bayern Aktion für KI-Hardware) chips project, aimed at offering practical courses in the area of dedicated AI Hardware.


The goal of the seminar is to explore approaches in integrating and developing new domain specific architectures and accelerators, as well as studying existing accelerators. Possible topics include but are not limited to:

Hardware Development:
  • Open Source HLS (e.g. PandA-Bambu, XLS) and FPGA toolchain (Yosys, etc.)
  • Domain-specific languages: Sycl, OpenACC, HPX, DaCe, ...
  • More Abstract Hardware Description Languages and Frameworks (CHISEL, FIRRTL, Magma and more
  • Machine Learning on FPGAs (hls4ml, FINN, ...)
HW/SW Interface and Integration:
  • Hardware & Software Co-Design (DevelopmentDebugging and Simulation)
  • ASIC accelerators: Bus Interfaces and Programming Languages (TPU, NVDLA, Cerebras,...)
  • Memory Hierachy on Heterogeneous platforms: Shared Memory, Caches, Scratchpads, Coherence and Virtual Memory Support
  • Integration of FPGAs into Cloud Environment
Novel AI accelerators/architectures
  • Vision Transformer (ViT) Accelerator (Supervisor: Xiaorang Guo) (paper)
  • Graph convolutional neural networks (Supervisor: Xiaorang Guo) (paper)
  • AI for Quantum Application: Efficient ML architecture for qubit readout (Supervisor: Xiaorang Guo) (paper)
  • Processing In Memory: Microarchitecture, Workloads, Synchronization and Software Interface (Samsung Function-In-Memory, Academic Approaches) (paper)
  • ASIC accelerators for ML: Microarchitecture (TPU, Cerebas, Eyeriss,...)
  • Course Grained Reconfigurable Arrays (CGRA): Application Cases, Architectures, Programming Models


Your own topic in the area?



Kick-off meeting: (October)

  • Final Definition and presentation of topics
  • Selection of topics


  • Literary survey ( Min 3-4 scientific papers)
  • Concepts and Trade-offs
  • If applicable experience from implementation
  • Reviewed by other student
  • 50% of the grade
  • Deadline: t.b.d


  • ~20 min presentation + 10 min Questions
  • 40% of the grade


  • Review of other students paper
  • 10 % of the grade


The work will be performed on an individual basis and the final grade will be based on the sum of the three grades, with all three tasks being mandatory to pass.


  • Interest in Computer Architecture and/or low level programming
  • Ability to work independently