I/O-efficient statistical computing with RIOT. Abstract: Statistical analysis of massive data is becoming indispensable to science, commerce, and society today.

In this demo, we present RIOT (R with I/O Transparency), a system that extends R, a popular computing environment for statistical data analysis. RIOT makes. R ...

RIOT makes R programs I/O-efficient in a way transparent to users. It features a flexible array storage manager and an optimization engine suitable for ...

Such analysis requires efficient, flexible storage support and special optimization techniques. In this demo, we present RIOT (R with I/O Transparency), a ...

To achieve I/O-efficiency, this project has developed an end-to-end solution that addresses issues on all fronts in an innovative way: efficient and flexible ...

Sep 9, 2009 · Abstract: R is a numerical computing environment that is widely popular for statistical data analysis. Like many such environments, ...

RIOTDB: transparently bringing scalability and I/O-efficiency to statistical computing with R http://www.cs.duke.edu/dbgroup/Main/RIOT NOTE: This is only a ...

I/O sharing and array layout optimization, RIOT is a holistic solution for I/O-efficient statistical computing. Based on the contributions made in this ...

Popular repositories Loading. riotdb riotdb Public. A package for statistical computing in R with efficient and transparent I/O. C 12 1. Something went wrong ...

Sep 11, 2024 · R is a numerical computing environment that is widely popular for statistical data analysis. Like many such environments, R performs poorly ...