1 citations · 1 across the 6 of their papers we have counts for
3 papers · 1 filter
ML-for-ML
Yutong Zhao, Noga H. Rotman, Gianni Antichi +1
AI training workloads are growing rapidly, making their time, energy, and infrastructure costs increasingly important. In shared cloud clusters, training and fine-tuning jobs compe…
Sketch Disaggregation Across Time and Space
Jonatan Langlet, Peiqing Chen, Michael Mitzenmacher +3
Streaming analytics are essential in a large range of applications, including databases, networking, and machine learning. To optimize performance, practitioners are increasingly o…
Memento: Making Sliding Windows Efficient for Heavy Hitters
Ran Ben Basat, Gil Einziger, Isaac Keslassy +3
Cloud operators require real-time identification of Heavy Hitters (HH) and Hierarchical Heavy Hitters (HHH) for applications such as load balancing, traffic engineering, and attack…