|
Title |
Student |
Supervisor |
Description |
| Vektorisierung mit OpenMP | Waldinger Johannes | Thomas Fahringer | Details |
| Parallelizing a Real-world Astrophysics Application With Legion: A Venture Into the Unknown | Clemens Prosser | Philipp Gschwandtner | Details |
| 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 |
| Title | Vektorisierung mit OpenMP |
| Student | Waldinger Johannes |
| Language | German |
| Supervisors | Thomas Fahringer |
| Description | Das Ziel dieser Arbeit die Anwendung verschiedener OpenMP Konstrukte zur Vektorisierung von Programmen um SIMD Parallelismus zu nutzen. Zu diesem Zweck werden verschiedene Programme mit OpenMP erweitert, für verschiedene Problemgrößen auf verschiedenen Shared Memory Rechnern getestet und eine Performance Analyse durchgeführt, um die Auswirkung auf die Performance der Programme zu ermitteln. |
| Tasks |
|
| Theoretical skills | Datenabhängigkeitsanalyse, Komplexitätsanalyse |
| Practical skills | C/C++ und parallele Programmierung mit OpenMP |
| Additional information |
| Title | Parallelizing a Real-world Astrophysics Application With Legion: A Venture Into the Unknown |
| Student | Clemens Prosser |
| Language | English |
| Supervisor | Philipp Gschwandtner |
| Description | Designing fast and highly efficient parallel applications for distributed memory systems entails overcoming several obstacles, with efficient data decomposition and distribution being one of the key requirements. This makes application development in HPC a tedious and error-prone process, as the most prominent distributed-memory programming model, MPI, leaves data decomposition, resource management and application tuning to hard-coded solutions implemented by the developer. Several endeavours aim at mitigating this issue, including Legion. Legion is a data-centric programming model for writing high-performance applications for distributed heterogeneous architectures by implicitly extracting parallelism and relinquishing control over data movement to the runtime system. The goal of this bachelor thesis is to port an existing structured grid application from astrophysics, Cronos, to Legion, while evaluating both the programmer effort entailed as well as the performance and scalability of the resulting application. |
| Tasks |
|
| Theoretical Skills | modern parallel programming models, high performance computing, scientific computing |
| Practical Skills | C++, Legion, scientific computing, debugging |
| Additional Information |
| 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 |
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