TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Vinçon, Tobias
A1  - Bernhardt, Arthur
A1  - Weber, Lukas
A1  - Koch, Andreas
A1  - Petrov, Ilia
T1  - On the necessity of explicit cross-layer data formats in near-data processing systems
T2  - Proceedings 2020 IEEE 36th International Conference on Data Engineering Workshops ICDEW 2020
N2  - Massive data transfers in modern data intensive systems resulting from low data-locality and data-to-code system design hurt their performance and scalability. Near-data processing (NDP) and a shift to code-to-data designs may represent a viable solution as packaging combinations of storage and compute elements on the same device has become viable.
The shift towards NDP system architectures calls for revision of established principles. Abstractions such as data formats and layouts typically spread multiple layers in traditional DBMS, the way they are processed is encapsulated within these layers of abstraction. The NDP-style processing requires an explicit definition of cross-layer data formats and accessors to ensure in-situ executions optimally utilizing the properties of the underlying NDP storage and compute elements. In this paper, we make the case for such data format definitions and investigate the performance benefits under NoFTL-KV and the COSMOS hardware platform.
KW  - near-data processing
KW  - data format
KW  - data layout
Y1  - 2020
U6  - https://doi.org/10.1109/ICDEW49219.2020.00009
DO  - https://doi.org/10.1109/ICDEW49219.2020.00009
SP  - 109
EP  - 114
S1  - 6
PB  - IEEE
CY  - Piscataway, NJ
ER  -