1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2021★ 1 cited
Dense Pruning of Pointwise Convolutions in the Frequency Domain
Mark Buckler, Neil Adit, Yuwei Hu +2
Depthwise separable convolutions and frequency-domain convolutions are two recent ideas for building efficient convolutional neural networks. They are seemingly incompatible: the v…
cs.AR2021
Dagger: Accelerating RPCs in Cloud Microservices Through Tightly-Coupled Reconfigurable NICs
Nikita Lazarev, Shaojie Xiang, Neil Adit +2
The ongoing shift of cloud services from monolithic designs to microservices creates high demand for efficient and high performance datacenter networking stacks, optimized for fine…
cs.AR2020★ 1 cited
Dagger: Towards Efficient RPCs in Cloud Microservices with Near-Memory Reconfigurable NICs
Nikita Lazarev, Neil Adit, Shaojie Xiang +2
Cloud applications are increasingly relying on hundreds of loosely-coupled microservices to complete user requests that meet an applications end-to-end QoS requirements. Communicat…