  High Performance Computing is notorious for its long and expensive software
development cycle. To address this challenge, we present Bind: a "partitioned
global workflow" parallel programming model for C++ applications that enables
quick prototyping and agile development cycles for high performance computing
software targeting heterogeneous distributed many-core architectures. We
present applications of Bind to Linear Algebra and MapReduce algorithms
alongside with performance results.
