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03/16/2022
ORCA: A Network and Architecture Co-design for Offloading us-scale Datacenter Applications
Responding to the "datacenter tax" and "killer microseconds" problems fo...
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12/11/2021
Unlocking the Power of Inline Floating-Point Operations on Programmable Switches
The advent of switches with programmable dataplanes has enabled the rapi...
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11/08/2021
Synthesizing Collective Communication Algorithms for Heterogeneous Networks with TACCL
Large ML models and datasets have necessitated the use of multi-GPU syst...
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05/28/2021
Cloud Collectives: Towards Cloud-aware Collectives forML Workloads with Rank Reordering
ML workloads are becoming increasingly popular in the cloud. Good cloud ...
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12/31/2020
Bundled References: An Abstraction for Highly-Concurrent Linearizable Range Queries
We present bundled references, a new building block to provide lineariza...
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08/19/2020
Synthesizing Optimal Collective Algorithms
Collective communication algorithms are an important component of distri...
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02/22/2019
Scaling Distributed Machine Learning with In-Network Aggregation
Training complex machine learning models in parallel is an increasingly ...
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05/21/2018
Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training
Distributed deep neural network (DDNN) training constitutes an increasin...
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01/30/2018