Name
Abstract | ||
|---|---|---|
Processing-in-memory and near-memory computing have recently been rediscovered as a way to alleviate the “memory wall problem” of traditional computing architectures. In this paper, we discuss the implementation of a 3D-stacked near-memory accelerator, targeting radio astronomy and scientific applications. After exploring the design space of the architecture by focusing on minimizing the execution... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TPDS.2017.2748580 | IEEE Transactions on Parallel and Distributed Systems |
Keywords | Field | DocType |
Radio astronomy,Computer architecture,Kernel,Pipelines,Signal processing algorithms,Acceleration,Antennas | Radio astronomy,Efficient energy use,Xeon Phi,Digital signal processor,Computer science,FLOPS,Field-programmable gate array,Radio telescope,Real-time computing,Computational science,Energy consumption | Journal |
Volume | Issue | ISSN |
29 | 1 | 1045-9219 |
Citations | PageRank | References |
0 | 0.34 | 23 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Leandro Fiorin | 1 | 229 | 17.10 |
| Rik Jongerius | 2 | 45 | 6.49 |
| Erik Vermij | 3 | 31 | 4.63 |
| Jan van Lunteren | 4 | 297 | 20.56 |
| Christoph Hagleitner | 5 | 108 | 20.84 |