Name
Abstract | ||
|---|---|---|
Performing computations on conventional von Neumann computing systems results in a significant amount of data being moved back and forth between the physically separated memory and processing units. This costs time and energy, and constitutes an inherent performance bottleneck. In-memory computing is a novel non-von Neumann approach, where certain computational tasks are performed in the memory it... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1147/JRD.2019.2947008 | IBM Journal of Research and Development |
Keywords | Field | DocType |
Computer architecture,Neurons,Training,Performance evaluation,Task analysis,Analog memory,Deep learning | Biology,Internal medicine,In-Memory Processing,Artificial intelligence,Acceleration,Deep learning,Endocrinology | Journal |
Volume | Issue | ISSN |
63 | 6 | 0018-8646 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
17 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Evangelos Eleftheriou | 1 | 1590 | 118.20 |
| Manuel Le Gallo | 2 | 47 | 9.73 |
| S. R. Nandakumar | 3 | 10 | 3.67 |
| Christophe Piveteau | 4 | 0 | 1.01 |
| Irem Boybat | 5 | 34 | 5.41 |
| Vinay Joshi | 6 | 0 | 0.34 |
| Riduan Khaddam-Aljameh | 7 | 0 | 1.01 |
| Martino Dazzi | 8 | 6 | 2.92 |
| Iason Giannopoulos | 9 | 2 | 1.38 |
| Geethan Karunaratne | 10 | 23 | 2.10 |
| Benedikt Kersting | 11 | 0 | 0.34 |
| Milos Stanisavljevic | 12 | 35 | 7.36 |
| Vara Prasad Jonnalagadda | 13 | 2 | 0.71 |
| Nikolas Ioannou | 14 | 71 | 9.86 |
| Kornilios Kourtis | 15 | 340 | 29.44 |
| Pier Andrea Francese | 16 | 138 | 25.33 |
| Sebastian, A. | 17 | 267 | 44.35 |