Sponsored by Goldman Sachs. Java 8 has Streams, Scala has parallel collections, and GS Collections has ParallelIterables. How well do they perform?
Andreas Olofsson reviews the history of processors and outlines some of the challenges ahead, introducing project Parallella meant to speed up the transition to massively parallel computing.
Damian Conway explores quantum finite state automata, the power of Maxwell's information engine, the computational expressiveness of (un)natural languages, blending them all into a parallel system.
Renzo Borgatti discusses implementing parallel solutions with reducers in Clojure, doing live coding that show what functional abstractions are involved and why.
Jack Moffitt discusses where and how to achieve parallelism in a browser, how it is done by Servo, and how Rust has helped.
Torben Hoffmann discusses doing parallel programming with the Intensional Computing Engine (ICE) on top of the Erlang VM.
Leo Meyerovich introduces Superconductor, a browser-based language for massive interactive visualizations using end-to-end parallel DSLs and a synthesis DSL for parallel layout.
The panelists discuss the future of the JVM in the context of parallelism and high concurrency of tomorrow’s thousands of cores.
Cliff Click discusses RAIN, H2O, JMM, Parallel Computation, Fork/Joins in the context of performing big data analysis on tons of commodity hardware.
Mohammad Rezaei discusses fine-grained parallelism along with an algorithm called Aggregation and a concurrent map built to help dealing with it.