Title
On the Necessity of Explicit Cross-Layer Data Formats in Near-Data Processing Systems
Abstract
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.
Year
DOI
Venue
2020
10.1109/ICDEW49219.2020.00009
2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW)
Keywords
DocType
ISSN
near-data processing,data format,data layout
Conference
1943-2895
ISBN
Citations 
PageRank 
978-1-7281-4267-8
0
0.34
References 
Authors
13
5
Name
Order
Citations
PageRank
Tobias Vinçon147.51
Arthur Bernhard201.35
Lukas Weber334.89
Andreas Koch415529.56
Ilia Petrov58320.20