Master Thesis Student (f/m/d) - JSON Processing on FPGA Hardware

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The HANA Database Campus team organizes the work with students and the research activities within the HANA & Analytics teams.



Context of the project
JSON is a ubiquitous format in databases and the cloud. Ingestion of JSON data most often requires parsing from a string to a binary in-memory representation (Langdale, 2019; Li, 2017) and indexing of the result for high-performance query processing. This can quickly become a bottleneck due to the large amount of data handled nowadays. At the same time, FPGAs show promise in accelerating document workloads, like XML processing (Dai, 2010; Sidhu, 2013), but, to the best of our knowledge, have not yet been applied to JSON processing.


Goal of the project
This work will aim at building an FPGA-based JSON parser with indexing capabilities.


Tasks for the student

  • Implement JSON parsing on FPGAs
  • (Extend JSON parser with indexer)
  • Write a technical report about the outcomes of the research


Related Work
Langdale, Geoff, and Daniel Lemire. "Parsing Gigabytes of JSON per Second." VLDBJ. 2019.
Li, Yinan, Nikos R. Katsipoulakis, Badrish Chandramouli, Jonathan Goldstein, and Donald Kossmann. "Mison: a Fast JSON Parser for Data Analytics." PVLDB. 2017.
Dai, Zefu, Nick Ni, and Jianwen Zhu. "A 1 Cycle-per-byte XML Parsing Accelerator." FPGA. 2010.
Sidhu, Reetinder. "High Throughput, Tree Automata-based XML Processing using FPGAs." FPT. 2013.




  • 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 FPGA programming (beneficial)
  • Strong system level programming skills (e.g., C / C++)


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.

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Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.

Successful candidates might be required to undergo a background verification with an external vendor.

 Requisition ID:311131 | Work Area: Software-Research | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Intern  | Additional Locations: 

Requisition ID:  311131
Posted Date:  Jan 10, 2023
Work Area:  Software-Research
Career Status:  Student
Employment Type:  Intern
Expected Travel:  0 - 10%

Walldorf, DE, 69190

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