High-performance parallel arrays for Haskell
These days, parallel computing hardware is ubiquitous. However, parallel programs are typically much more difficult to write than sequential ones, so making use of all of the parallelism available in a modern computer remains difficult. Functional programming languages offer a radical and elegant attack on this challenge, by tackling the root cause of the problem, namely, unrestricted side effects.
In this talk I will reflect on the progress and challenges we have had in developing the programming language Accelerate, an embedded language in Haskell for data-parallel array programming, which exposes only a collection-oriented interface over immutable arrays. I will discuss some of the aspects to making such a language design practicable and performant, and give some examples of how this more restrictive programming model can help guide the programmer towards an efficient parallel implementations of their algorithm.
Thu 22 Nov
|10:00 - 10:25|
|10:25 - 10:50|
|10:50 - 11:15|
Trevor L. McDonellUtrecht University
|11:15 - 11:40|