We were happy to host Manuel Chakravarty, Professor of Computer Science in the University of New South Wales (Sydney), between July 11 and 13, 2011. Manuel has been working on Data-Parallel Haskell for more than 10 years and is a driving force behind several strands of development in parallel array processing in Haskell.
During his stay, Manuel gave a DIKU talk on data parallelism using
Haskell, motivating both the use of functional programming as well as
the appeal of data parallelism, and illustrating how data parallel
Haskell programs look like in different variants. After this overview
talk, we proceeded with a more technical talk about the GPU-enabled
Haskell array library
Data.Array.Accelerate, as a special issue of the
Manuel M T Chakravarty is an Associate Professor at the University of New South Wales, Sydney. His main research interests are in functional programming languages, novel compiler technology, and parallel programming. He graduated from the University of Karlsruhe and received a doctoral degree from the Technical University of Berlin.
He contributed to Haskell’s foreign function interface, the theory and implementation of type families, and the design and realisation of Data Parallel Haskell, an implementation of nested data parallelism in the Glasgow Haskell Compiler. He receives his inspiration from combining theory with practice.