13 citations · 25 across the 6 of their papers we have counts for
7 papers
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…
Evaluating Query Languages and Systems for High-Energy Physics Data [Extended Version]
Dan Graur, Ingo Müller, Mason Proffitt +3
In the domain of high-energy physics (HEP), query languages in general and SQL in particular have found limited acceptance. This is surprising since HEP data analysis matches the S…
The Coming Age of Pervasive Data Processing
Jan S. Rellermeyer, Sobhan Omranian Khorasani, Dan Graur +1
Emerging Big Data analytics and machine learning applications require a significant amount of computational power. While there exists a plethora of large-scale data processing fram…
Down with ncRNA! Long live fRNA and jRNA!
Dan Graur
Noncoding RNA (ncRNA) and long noncoding RNA (lncRNA) are scientifically invalid terms because they define molecular entities according to properties they do not possess and functi…
Rubbish DNA: The functionless fraction of the human genome
Dan Graur
Because genomes are products of natural processes rather than intelligent design, all genomes contain functional and nonfunctional parts. The fraction of the genome that has no bio…
A scale-free method for testing the proportionality of branch lengths between two phylogenetic trees
Yichen Zheng, William Ott, Chinmaya Gupta +1
We introduce a scale-free method for testing the proportionality of branch lengths between two phylogenetic trees that have the same topology and contain the same set of taxa. This…