|
Title |
Student |
Supervisor |
Description |
| Power and Energy Efficiency Analysis of HPC Workloads on Modern CPU Architectures | Thomas Klotz | Philipp Gschwandtner | Details |
| Porting and Optimization of RF Pulse Scheduling for Trapped Ion Quantum Computing | Mederika Zangerl | Philipp Gschwandtner | Details |
| Performance Effects of GPU Buffer Indexing Methods in Structured Grid Applications | Julian Stecher | Philipp Gschwandtner | Details |
| Adaptive Mesh Refinement in Hydrodynamics: Redesigning Cronos | Joshua Ocker | Philipp Gschwandtner | Details |
| Title | Power and Energy Efficiency Analysis of HPC Workloads on Modern CPU Architectures |
| Student | Thomas Klotz |
| Language | English |
| Supervisor | Philipp Gschwandtner |
| Description | Modern CPUs feature complex mechanisms in order to manage the trade-off between performance and energy, such as DVFS or power capping. Part of the data used to drive these mechanisms is available to the user, enabling detailed analyses of the power and energy efficiency of various workloads and comparison across architectures. The goal of this thesis is to investigate modern power control and measurement technologies available in contemporary processors, and use them to gain knowledge on the efficiency of HPC-relevant workloads. |
| Tasks |
|
| Theoretical Skills | Parallel programming, vectorization and node-level optimization in general, basic knowledge of CPU hardware |
| Practical Skills | C, C++, OpenMP |
| Additional Information |
| Title | Porting and Optimization of RF Pulse Scheduling for Trapped Ion Quantum Computing |
| Student | Mederika Zangerl |
| Language | English |
| Supervisor | Philipp Gschwandtner |
| Description | In a quantum computer, information is stored in quantum bits (qubits). While classical bits can have exactly two different states, a qubit can be in a superposition of states. Qubits can for example be realized using trapped ions manipulated by laser pulses driven by radio-frequency signals. When performing computations, a provided quantum circuit needs to be translated into a sequence of RF pulses. These RF pulses in turn need to be arranged such that they can run on the targeted real-time RF generators. The hardware has limits to the number of simultaneous events and setup times and thus a transpiler is needed to take care of these constraints with high performance to maximize program throughput. The aim of this thesis is to improve the performance of a scheduler for RF pulse sequences for a trapped ion quantum device and the associated transpiling passes, as well as the maintainability of the underlying code. To accomplish this, the existing Python implementation is ported to the Rust programming language. Rust combines the speed of a compiled language with high level features such as an advanced static type system, enforced explicit error handling and intrinsic memory safety. Additionally, Rust can be easily integrated into existing Python code bases. In a second step, the Rust version will be optimized with regard to algorithmic complexity and data structures. |
| Tasks |
|
| Theoretical Skills | algorithms and data structures, complexity analysis |
| Practical Skills | Rust, Python, software engineering principles |
| Additional Information |
| Title | Performance Effects of GPU Buffer Indexing Methods in Structured Grid Applications |
| Student | Julian Stecher |
| Language | German or English |
| Supervisor | Philipp Gschwandtner |
| Description | Accelerated clusters are ubiquitous, with 7 of the top 10 fastest supercomputers world wide supported by accelerators of some form (9 of the top 10 on the Green500 list). A key aspect of this technology is the fact that their computing and memory architecture differs from that of the host in which they are installed. This bachelor thesis focuses on implementing and benchmarking multiple variants of structured grid proxy apps for several dimensions in CUDA and investigating relevant performance effects. |
| Tasks |
|
| Theoretical Skills | parallel programming, high performance computing, GPU computing, performance analysis |
| Practical Skills | C++, CUDA, working with GPUs |
| Additional Information |
| Title | Adaptive Mesh Refinement in Hydrodynamics: Redesigning Cronos |
| Student | Joshua Ocker |
| Language | German or English |
| Supervisor | Philipp Gschwandtner |
| Description | High performance computing is a branch of computer science that evolves very quickly, with increasingly complex architectures in both software and hardware. However, HPC application software is often developed by domain scientists, who may struggle to keep up with these innovations. Cronos is such an example, a structured grid simulation capable of computing gamma ray emissions of binary star systems. With development started over a decade ago, its programming style reflects various language standards of C++ and lacks modern features such as accelerator support or adaptive mesh refinement (AMR). The idea of AMR is to drastically reduce the computational work of a grid based simulation, by dynamically adjusting local resolution.The goal of this bachelor thesis is to provide a preliminary prototype for a new Cronos implementation that supports AMR and can be easily extended to contemporary programming models. |
| Tasks |
|
| Theoretical Skills | parallel programming, high performance computing, scientific computing |
| Practical Skills | C++, working with legacy code bases, scientific computing |
| Additional Information |
If a bachelor student wants to set his/her initial/final presentation he/she (or the supervisor) MUST contact Sashko Ristov to schedule the presentation!
Details for the theses