Name
Title | ||
|---|---|---|
Moving Processing to Data: On the Influence of Processing in Memory on Data Management. |
Abstract | ||
|---|---|---|
Near-Data Processing refers to an architectural hardware and software paradigm, based on the co-location of storage and compute units. Ideally, it will allow to execute application-defined data- or compute-intensive operations in-situ, i.e. within (or close to) the physical data storage. Thus, Near-Data Processing seeks to minimize expensive data movement, improving performance, scalability, and resource-efficiency. Processing-in-Memory is a sub-class of Near-Data processing that targets data processing directly within memory (DRAM) chips. The effective use of Near-Data Processing mandates new architectures, algorithms, interfaces, and development toolchains. |
Year | Venue | DocType |
|---|---|---|
2019 | arXiv: Databases | Journal |
Volume | Citations | PageRank |
abs/1905.04767 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tobias Vinçon | 1 | 0 | 0.34 |
| Andreas Koch | 2 | 94 | 15.13 |
| Ilia Petrov | 3 | 83 | 20.20 |