Open Topics

In this chapter, you can find proposals for thesis topics which are looking for a candidate!

• Compiling Trace Graphs to RISC-V Accelerators

  This work is about re-compiling RISC-V instruction sequences to parallel compute engines.

• Transferable Machine Learning Models for Performance Modeling

  This work is about applying machine learning to generate transferable models for performance estimation for CPUs.

• A Machine Learning Model for Indoor Positioning of Bluetooth Receivers

  This work is about applying machine learning to indoor location and tracking.

• Accelerated Pattern Matching for Big Data

  This work is about accelerating algorithms for Big Data and internet security.

• Compiling for Spatial Computation Architectures

  This work is about compiling C code to systolic arrays via source-to-source.

• Designing an Instruction Set Based Coarse Grain Accelerator

  This work is about abstracting CGRA architectures via a proposal for a common ISA.

• Performance Modeling for HPC through Machine Learning from Source Code

  This work is about applying machine learning to performance modeling of applications on different targets.