3 citations · 5 across the 3 of their papers we have counts for
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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…
cs.AR2022★ 1 cited
Machine Learning Training on a Real Processing-in-Memory System
Juan Gómez-Luna, Yuxin Guo, Sylvan Brocard +5
Training machine learning algorithms is a computationally intensive process, which is frequently memory-bound due to repeatedly accessing large training datasets. As a result, proc…