3 citations · 4 across the 2 of their papers we have counts for
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cs.AR2022★ 3 cited
CONVOLVE: Smart and seamless design of smart edge processors
M. Gomony, F. Putter, A. Gebregiorgis +25
With the rise of Deep Learning (DL), our world braces for AI in every edge device, creating an urgent need for edge-AI SoCs. This SoC hardware needs to support high throughput, rel…
cs.AR2022★ 1 cited
LEAPER: Fast and Accurate FPGA-based System Performance Prediction via Transfer Learning
Gagandeep Singh, Dionysios Diamantopoulos, Juan Gómez-Luna +3
Machine learning has recently gained traction as a way to overcome the slow accelerator generation and implementation process on an FPGA. It can be used to build performance and re…