106 citations · 167 across the 26 of their papers we have counts for
4 papers · 1 filter
tf.data service: A Case for Disaggregating ML Input Data Processing
Andrew Audibert, Yang Chen, Dan Graur +3
Machine learning (ML) computations commonly execute on expensive specialized hardware, such as GPUs and TPUs, which provide high FLOPs and performance-per-watt. For cost efficiency…
An Elastic Ephemeral Datastore using Cheap, Transient Cloud Resources
Malte Brodmann, Nikolas Ioannou, Bernard Metzler +2
Spot instances are virtual machines offered at 60-90% lower cost that can be reclaimed at any time, with only a short warning period. Spot instances have already been used to signi…
SHiFT: An Efficient, Flexible Search Engine for Transfer Learning
Cedric Renggli, Xiaozhe Yao, Luka Kolar +3
Transfer learning can be seen as a data- and compute-efficient alternative to training models from scratch. The emergence of rich model repositories, such as TensorFlow Hub, enable…
Short-lived Datacenter
Michael Wawrzoniak, Ingo Müller, Rodrigo Bruno +2
Serverless platforms have attracted attention due to their promise of elasticity, low cost, and fast deployment. Instead of using a fixed virtual machine (VM) infrastructure, which…