This paper presents the latest chapter in our adventures coping with a large, sequentially-tuned, legacy runtime system in today's parallel world. Specifically, this paper introduces our new graphical visualizer that helps programmers understand how to ...

This paper presents a real-world pricing kernel for financial derivatives and evaluates the language and compiler tool chain that would allow expressive, hardware-neutral algorithm implementation and efficient execution on graphics-processing units (GPU)...

This paper provides a performance and programmability comparison of high-level parallel programming support in Haskell, F# and Scala. Developing several parallel versions, we employ skeleton-based, semi-explicit and explicit approaches to parallelism. ...

Flow graph models have recently become increasingly popular as a way to express parallel computations. However, most of these models either require specialized languages and compilers or are library-based solutions requiring coarse-grained applications ...

Nowadays, performance in processors is increased by adding more cores or wider vector units, or by combining accelerators like GPUs and traditional cores on a chip. Programming for these diverse architectures is a challenge. We would like to exploit all ...