8 citations · 8 across the 1 of their papers we have counts for
2 papers
cs.LG2020★ 8 cited
Campfire: Compressible, Regularization-Free, Structured Sparse Training for Hardware Accelerators
Noah Gamboa, Kais Kudrolli, Anand Dhoot +1
This paper studies structured sparse training of CNNs with a gradual pruning technique that leads to fixed, sparse weight matrices after a set number of epochs. We simplify the str…
cs.AR2018
What Your DRAM Power Models Are Not Telling You: Lessons from a Detailed Experimental Study
Saugata Ghose, Abdullah Giray Yağlıkçı, Raghav Gupta +9
Main memory (DRAM) consumes as much as half of the total system power in a computer today, resulting in a growing need to develop new DRAM architectures and systems that consume le…