Name
Abstract | ||
|---|---|---|
In recent years, several in-memory logic primitives were proposed where bit-wise logical operations are performed in memory by exploiting the physical attributes of memristive devices organized in a crossbar array. However, a convincing real-world application for in-memory logic and its experimental validation are still lacking. Herein, the application of database query where a database is stored in an array of binary memristive devices is presented. The queries are formulated in terms of bulk bit-wise operations and are executed in memory by exploiting Kirchhoff's current summation law. The concept is experimentally demonstrated by executing error-free queries on a small 4x8 selector-less phase-change memory crossbar. The impact of crossbar size, resistance of routing wires, and interdevice variability on the accuracy of the logical operations are studied through numerical and circuit-level simulations. Finally, a system for cascaded query is proposed that combines the in-memory logic with conventional digital logic and its functionality is verified on a healthcare-related database. It is estimated that an 11-step long query is executed in 36ns, consuming 560 mu W, thus achieving an energy efficiency of 166TOPS/W. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1002/aisy.202000141 | ADVANCED INTELLIGENT SYSTEMS |
Keywords | DocType | Volume |
database queries, in-memory computing, phase-change memories | Journal | 2 |
Issue | Citations | PageRank |
12 | 2 | 0.37 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Iason Giannopoulos | 1 | 2 | 1.38 |
| Abhairaj Singh | 2 | 3 | 1.86 |
| Manuel Le Gallo | 3 | 47 | 9.73 |
| Vara Prasad Jonnalagadda | 4 | 2 | 0.71 |
| Said Hamdioui | 5 | 2 | 0.37 |
| Sebastian, A. | 6 | 267 | 44.35 |