Name
Abstract | ||
|---|---|---|
Many modern and emerging applications must process increasingly large volumes of data. Unfortunately, prevalent computing paradigms are not designed to efficiently handle such large-scale data: The energy and performance costs to move this data between the memory subsystem and the CPU now dominate the total costs of computation. This forces system architects and designers to fundamentally rethink ... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1147/JRD.2019.2934048 | IBM Journal of Research and Development |
Keywords | DocType | Volume |
Random access memory,Nonvolatile memory,Memory management,Through-silicon vias,Computers,Technological innovation | Journal | 63 |
Issue | ISSN | Citations |
6 | 0018-8646 | 19 |
PageRank | References | Authors |
0.68 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Saugata Ghose | 1 | 718 | 36.45 |
| Amirali Boroumand | 2 | 21 | 2.04 |
| Jeremie Kim | 3 | 263 | 13.68 |
| Juan Gómez-Luna | 4 | 209 | 23.34 |
| Onur Mutlu | 5 | 9446 | 357.40 |