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Extending the GPU Scheduling System GPUSched by means of CUDA for Anytime Data Stream Mining |
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The Chair for Operating Systems provides the following
Master Thesis (Masterarbeit / Diplomarbeit) in the range of
Parallel Many-core Computing:
Extending GPUSched for Anytime Data Stream Mining in CUDA
Background
The CUDA Programming
Assignment
We offer
- Comfortable working environment
- A good equipped computer infrastructure
- Access to an Intel Single-Chip Cloud Computer
- Personal and engaged supervision
Profile of requirements
- Prerequisites for starting a Master's thesis and a Bachelor's degree (Vordiplom) in:
Electrical Engineering, Information Technology or Computer Engineering
- Good programming skills in C/C++
- Competence to work autonomous and creative
- Experiences in parallel programming are advantageous
Contact
Ayman Tarakji, M.Sc.
Lehrstuhl für Betriebssysteme (LfBS), RWTH Aachen
Kopernikusstraße 16, D-52056 Aachen
Tel.: +49 241 80 24600, Fax: +49 241 80 627634
E-Mail: clauss@lfbs.rwth-aachen.de |
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