Purely functional programs should run well on parallel hardware because of the absence of
side effects, but it has proved hard to realise this potential in practice. Plenty of papers …

General purpose hybrid dataflow/von-Neumann architectures are gaining attraction as
effective parallel platforms. Although different implementations differ in the way they merge …

The increasing availability of commodity multicore processors is making parallel computing
ever more widespread. In order to exploit its potential, programmers need languages that …

Effective use of the memory hierarchy is critical for achieving high performance on
embedded systems. We focus on the class of streaming applications, which is increasingly …

JCilk extends the serial subset of the Java language by importing the fork-join primitives
spawn and sync from the Cilk multithreaded language, thereby providing call-return …

The increasing availability of commodity multicore processors is making parallel computing
available to the masses. Traditional parallel languages are largely intended for large-scale …

This article presents a compile-time analysis for tracking the size of data-structures in a
statically typed and strict functional language. This information is valuable for static checking …

As embedded DSP applications become more complex, it is increasingly important to
provide high-level stream abstractions that can be compiled without sacrificing efficiency. In …

Application programmers in domains like machine learning, scientific computing, and
computational biology are accustomed to using powerful, high productivity array languages …

In this paper, a translation from structured sequential programs to equivalent dataflow
process networks (DPNs) is presented that is based on a carefully chosen set of nodes …