Research

- Data Management
- Data-intensive Systems on Evolving Hardware
- Near-Data Processing
- neoDBMS
- PANDAS

Publications

DPLP
Google Scholar

M.Sc. Christian Knödler

Collaboration with Academia and Industry

I have been involved in the following academic research initiatives or industrial projects:

PANADS aimims to investigate Near-Data approaches, toolchains as well as Database architectures and algorithms. PANDAS follows the approach of hardware-software co-design. One of the main goals is the design of a novel storage hardware for NDP.

Papers

T. Vincon, L. Weber, A. Bernhardt, C. Riegger, S. Hardock, C. Knoedler, F. Stock, L. Solis-Vasquez, S. Tamimi, A. Koch, I. Petrov.
nKV in Action: Accelerating KV-Stores on Native Computational Storage with Near-Data Processing.
In Proc. VLDB 2020.

Background and Degrees

- October 2014 - October 2016: Master of Science.
Services Computing - Herman Hollerith Zentrum Böblingen, Germany. (Hochschule Reutlingen)
- April 2011 - September 2014: Bachelor of Science.
Wirtschaftsinformatik - Hochschule Reutlingen Reutlingen, Germany.