Theses

Below is a list of open, ongoing, and completed theses. If you are intested in an open thesis, or you alreay have a topic and looking for a supervisor, please contact me.

Open Theses

  • A Comparative Study of LSTM Versus Transformer for Sequence Modeling Problems in GPUs (B.Sc./M.Sc.)
  • A Feasibility Study of Applying Transformer to Sequence Modeling Problems in GPUs (B.Sc./M.Sc.)
  • A Generic Framework for Memory Access Granularity Aware Lossless Compression for Many-core Processors (B.Sc./M.Sc.)
  • Evaluating Scalability of SYCL Applications Across HPC Clusters (B.Sc./M.Sc.)

Ongoing Theses

  • Quantitative Cache Line Re-Use Analysis for GPUs (J. Dommes, TUB)
  • Custom Hardware Accelerator for the Smith-Waterman Algorithm (L. M. Selinka, TUB)

Completed Theses

  • Memory Access Granularity Aware Lossless Compression for GPUs (M. Renz)
  • An Efficient Lightweight Framework for Porting Vision Algos on Embedded SoC (A. Ashish)
  • SystemC Modeling of a Memory Paging System for Secure Elements in SoC (M. Yuan)
  • Design and Implementation of an Efficient Spatial Locality Predictor for GPUs (N. Agarwal)
  • Power Modeling of Mobile GPUs using Deep Learning (M. Neu)