DSLs and hardware accelerators have proven to be very effective in optim...
Videos that are shot using commodity hardware such as phones and surveil...
Optimizing a stateful dataflow language is a challenging task. There are...
Transformer-based models, such as BERT and ViT, have achieved
state-of-t...
This paper explores the effectiveness of model-generated signals in impr...
As models continue to grow in size, the development of memory optimizati...
We propose Adversarial DEep Learning Transpiler (ADELT) for source-to-so...
Despite decades of research and practical experience, developers have fe...
Scientists increasingly rely on Python tools to perform scalable distrib...
Training large neural network (NN) models requires extensive memory
reso...
Conflict-free replicated data types (CRDTs) are a promising tool for
des...
Technology ecosystems often undergo significant transformations as they
...
Exploiting the relationships among data, such as primary and foreign key...
Analytical SQL is widely used in modern database applications and data
a...
We present a new video storage system (VSS) designed to decouple high-le...
Nearly twenty years after the launch of AWS, it remains difficult for mo...
The amount of video data being produced is rapidly growing. At the same ...
Programmers typically organize executable source code using high-level c...
Compressed videos constitute 70
rates far outpace compute and storage im...
Research in transaction processing has made significant progress in impr...
Source code is rarely written in isolation. It depends significantly on ...
Modern data processing applications execute increasingly sophisticated
a...
Deciding the equivalence of SQL queries is a fundamental problem in data...
MapReduce is a popular programming paradigm for running large-scale
data...
We present an approach to rapidly and easily build natural language
inte...