22 citations · 63 across the 13 of their papers we have counts for
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cs.CV2019★ 9 cited
CUP: Cluster Pruning for Compressing Deep Neural Networks
Rahul Duggal, Cao Xiao, Richard Vuduc +1
We propose Cluster Pruning (CUP) for compressing and accelerating deep neural networks. Our approach prunes similar filters by clustering them based on features derived from both t…
cs.DC2019★ 3 cited
Load-Balanced Sparse MTTKRP on GPUs
Israt Nisa, Jiajia Li, Aravind Sukumaran-Rajam +2
Sparse matricized tensor times Khatri-Rao product (MTTKRP) is one of the most computationally expensive kernels in sparse tensor computations. This work focuses on optimizing the M…