63 citations · 113 across the 6 of their papers we have counts for
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cs.LG2021★ 63 cited
SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks
Gokul Krishnan, Sumit K. Mandal, Manvitha Pannala +4
In-memory computing (IMC) on a monolithic chip for deep learning faces dramatic challenges on area, yield, and on-chip interconnection cost due to the ever-increasing model sizes.…
cs.LG2019★ 5 cited
Structural Pruning in Deep Neural Networks: A Small-World Approach
Gokul Krishnan, Xiaocong Du, Yu Cao
Deep Neural Networks (DNNs) are usually over-parameterized, causing excessive memory and interconnection cost on the hardware platform. Existing pruning approaches remove secondary…