Molham Aref introduces LogicBox, a database that unites declarative programming (logic-based specifications) with cloud deployment over large datasets using the Datalog programming language.
Philipp Haller explains how to make Rx programming more natural and intuitive by generalizing Scala's Async which, so far, has been used to program with non-blocking futures in a familiar direct style
Keith Adams examines the strengths that made PHP a dominant language in its niche, highlighting Facebook's attempts at remedying its inconsistencies and misfeatures while maintaining its strengths.
The authors introduce a new language paradigm meant to enhance OOP with multi-dimensional context, providing details on context-based dispatch, and showing a glimpse of their early prototype.
Gilad Bracha presents the motivation behind building Dart, the current state of the Dart platform and where it is heading to.
Kathryn S. McKinley discusses research approaches and results that abstract, choose, and exploit hardware heterogeneity providing computational power at low energy consumption levels.
Daniel Cukier shares insight in using cloud services to scale web applications, dealing with load balancing, session sharing, email, asynchronous processing, logging, monitoring, CD, RUM, etc.
Luke Hoban introduces TypeScript and its implications for writing web applications and creating supporting tooling.
Indrajit Roy presents HP Labs’ attempts at scaling R to efficiently perform distributed machine learning and graph processing on industrial-scale data sets.
Rob Pike explains how Google designed Go to address major development issues they encounter while using other languages: long build times, poor dependency management, lack of robustness, etc.