Abstract | ||
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Neuromorphic architectures have been introduced as platforms for energy-efficient spiking neural network execution. The massive parallelism offered by these architectures has also triggered interest from nonmachine learning application domains. In order to lift the barriers to entry for hardware designers and application developers, we present RANC: a reconfigurable architecture for neuromorphic c... |
Year | DOI | Venue |
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2021 | 10.1109/TCAD.2020.3038151 | IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems |
Keywords | DocType | Volume |
Neurons,Computer architecture,Axons,Hardware,Neuromorphic engineering,Field programmable gate arrays,Emulation | Journal | 40 |
Issue | ISSN | Citations |
11 | 0278-0070 | 0 |
PageRank | References | Authors |
0.34 | 0 | 11 |
Name | Order | Citations | PageRank |
---|---|---|---|
Joshua Mack | 1 | 1 | 2.40 |
Ruben Purdy | 2 | 0 | 0.34 |
Kris Rockowitz | 3 | 0 | 0.34 |
Michael Inouye | 4 | 0 | 0.34 |
Edward Richter | 5 | 0 | 1.35 |
Spencer Valancius | 6 | 0 | 0.34 |
Nirmal Kumbhare | 7 | 9 | 2.55 |
Md Sahil Hassan | 8 | 0 | 0.68 |
Kaitlin Fair | 9 | 0 | 0.34 |
John Mixter | 10 | 0 | 0.34 |
Ali Akoglu | 11 | 157 | 29.40 |