most citedAccelerating Deep Learning Inference via Learned Caches

7 citations · 7 across the 2 of their papers we have counts for

collaborators

2 papers

cs.DC2021

Doing More by Doing Less: How Structured Partial Backpropagation Improves Deep Learning Clusters

Adarsh Kumar, Kausik Subramanian, Shivaram Venkataraman +1

Many organizations employ compute clusters equipped with accelerators such as GPUs and TPUs for training deep learning models in a distributed fashion. Training is resource-intensi…

cs.LG2021★ 7 cited

Accelerating Deep Learning Inference via Learned Caches

Arjun Balasubramanian, Adarsh Kumar, Yuhan Liu +3

Deep Neural Networks (DNNs) are witnessing increased adoption in multiple domains owing to their high accuracy in solving real-world problems. However, this high accuracy has been…