The relational data model was designed to facilitate large-scale data
ma...
The high computational and memory requirements of large language model (...
Language models (LMs) are becoming the foundation for almost all major
l...
Stochastic gradient descent (SGD) is the cornerstone of modern machine
l...
Communication compression is a crucial technique for modern distributed
...
Training foundation models, such as GPT-3 and PaLM, can be extremely
exp...
Machine learning (ML) systems have to support various tensor operations....
Persistent partitioning is effective in avoiding expensive shuffling
ope...
The Internet of Things (IoT) revolution has shown potential to give rise...
Stochastic gradient descent (SGD) is the method of choice for distribute...
We train an enhanced deep convolutional neural network in order to ident...
A number of popular systems, most notably Google's TensorFlow, have been...
Wind power, as an alternative to burning fossil fuels, is plentiful and
...
This paper describes PlinyCompute, a system for development of
high-perf...