Future is a minimal and unifying framework for asynchronous, parallel, and distributed computing in R. It is designed for robustness, consistency, scalability, extendability, and adoptability – all in the spirit of "developer writes code once, user runs it anywhere". It is being used in production for high-performance computing and asynchronous UX, among other things. In this talk, I will discuss common feature requests, recent progress we have made, and what is the pipeline.
MSc in Computer Science and PhD in Mathematical Statistics. Associate Professor at University of California, San Francisco. Applied computational and statistical research in Genomics and Bioinformatics.