Master Thesis Student
vor 3 Monaten
We help the world run better
Our company culture is focused on helping our employees enable innovation by building breakthroughs together. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. 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
What you'll do
Implement graph decompression sub-system on FPGA Combine with our graph processing accelerator Analyze performance and resource usageWhat you 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++)Meet your team
The HANA Database Campus team organizes the work with students and the research activities within the HANA & Analytics teams.
Field-programmable gate arrays (FPGAs) have been shown to excel at speeding-up graph algorithms (Yao, 2018). However, even highly optimized graph processing accelerators still suffer from a memory bottleneck (Dann, 2021). Thus, FPGA resources remain underutilized and allow implementing additional processing steps without negatively impacting performance of existing parts of the design.
The goal of this thesis is to combine graph compression techniques (Brisaboa, 2009; Claude, 2010) with a FPGA-based graph processing accelerator to virtually increase the memory bandwidth. This means utilizing an in-line decompression step paired with a highly effective graph compression technique to alleviate the memory bottleneck.
Your set of application documents should contain a cover letter, a resume in table form, school leaving certificates, certificate of enrollment, current university transcript of records, copies of any academic degrees already earned, and if available, references from former employers (including internships). Please also describe your experience and skills in foreign languages and computer programs / programming languages.
Master Thesis Student #Germany #Deutschland #Student #LIHybrid #SAPGermanStudentsCareers
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