PUBLIC MARKS with tags concurrent & fonctionnelle

Erjang is a virtual machine for Erlang, which runs on Java

# Why is the standard Scala actor implementation so complex when others have done it in a such simpler fashion? # Is it better to have one, big actor library that supports a wide variety of use cases, or a bunch of smaller ones targeted at specific niches and programming styles? # If there are to be a bunch, should they just be conceptually similar (e.g. all based on the actor model), or should there be interoperability among them?

ScalaCheck is a powerful tool for automatic unit testing of Scala and Java programs. It features automatic test case generation and minimization of failing test cases. ScalaCheck started out as a Scala port of the Haskell library QuickCheck, and has since evolved and been extended with features not found in Haskell QuickCheck.

Scala is an exciting, modern, multi-paradigm language for the JVM. You can use it to write traditional, imperative, object-oriented code. But you can also leverage its higher level of abstraction to take full advantage of modern, multicore systems. Programming Scala will show you how to use this powerful functional programming language to create highly scalable, highly concurrent applications on the Java Platform.

Java to Scala with the Help of Experts

Scala is a general purpose programming language designed to express common programming patterns in a concise, elegant, and type-safe way. It smoothly integrates features of object-oriented and functional languages, enabling Java and other programmers to be more productive. Code sizes are typically reduced by a factor of two to three when compared to an equivalent Java application

Scalaris is a scalable, transactional, distributed key-value store. It can be used for building scalable Web 2.0 services.

Erlectricity allows a Ruby program to receive and respond to Erlang messages sent over the Erlang binary protocol.

plists is a drop-in replacement for the Erlang module lists, making most list operations parallel. It can operate on each element in parallel, for IO-bound operations, on sublists in parallel, for taking advantage of multi-core machines with CPU-bound operations, and across erlang nodes, for parallizing inside a cluster. It handles errors and node failures. It can be configured, tuned, and tweaked to get optimal performance while minimizing overhead.

Map/Reduce

Tsung is an open-source multi-protocol distributed load testing tool

A Rubyist dabbles in today's most exciting programming language