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cs.AR2020
TaxoNN: A Light-Weight Accelerator for Deep Neural Network Training
Reza Hojabr, Kamyar Givaki, Kossar Pourahmadi +4
Emerging intelligent embedded devices rely on Deep Neural Networks (DNNs) to be able to interact with the real-world environment. This interaction comes with the ability to retrain…
cs.AR2012★ 1 cited
Dynamic Warp Resizing in High-Performance SIMT
Ahmad Lashgar, Amirali Baniasadi, Ahmad Khonsari
Modern GPUs synchronize threads grouped in a warp at every instruction. These results in improving SIMD efficiency and makes sharing fetch and decode resources possible. The number…