Master Thesis Researcher
vor 3 Wochen
Unlock the Power of Graph Processing
We're seeking a talented Master Thesis Student to join our HANA Database Campus team and contribute to the development of innovative graph processing solutions.
About the Project
Field-programmable gate arrays (FPGAs) have been shown to excel at speeding-up graph algorithms. However, even highly optimized graph processing accelerators still suffer from a memory bottleneck. The goal of this thesis is to combine graph compression techniques with a FPGA-based graph processing accelerator to virtually increase the memory bandwidth.
Your Role
- Implement graph decompression sub-system on FPGA
- Combine with our graph processing accelerator
- Analyze performance and resource usage
What You'll Bring
- Student (f/m/d) at a university or a university of applied sciences
- Preferred fields of study: Computer science or electrical engineering
- Prior experience in graph processing
- Prior experience in FPGA programming (beneficial)
- Strong system level programming skills (e.g., C / C++)
What We Offer
A highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.
Apply Now
Send us your application documents, including a cover letter, resume, school leaving certificates, and any other relevant information.
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