Parallel: using a multiplicity of computational hardware (ex: several processor cores) to perform a computation more quickly. Concurrent: using mulitple threads of control where each thread executes ...

Learn the basic concepts and definitions of concurrent and parallel programming, how they differ and relate, and what are some of the advantages and drawbacks of each approach.

Learn about the differences, advantages, and disadvantages of imperative, declarative, functional, object-oriented, and concurrent programming paradigms for application programming.

For Haskell, implementing an OOP-like programming environment means not only broadening the horizons by learning OOP itself but also revealing deep insights about Haskell. The book is a thorough ...

In the dynamic realm of functional programming, two languages— Haskell vs Erlang —stand out as powerful tools with distinct approaches and applications. This article embarks on a comparative ...

The advent of multicore processors requires mainstream concurrent programming languages with high level concurrency constructs and effective debugging techniques. Unfortunately, many concurrent ...

We apply our design to a comparison of two object-oriented languages for concurrency, multithreaded Java and SCOOP (Simple Concurrent Object-Oriented Programming), in an academic setting. We obtain ...

Code for the book Parallel and Concurrent Programming in Haskell by Simon Marlow. The book is a decade old but still up-to-date! How many books in the CS can say that about themselves? Thank you Simon ...

This practical tutorial introduces the features available in Haskell for writing parallel and concurrent programs. We first describe how to write semi-explicit parallel programs by using annotations ...