Recent workload trends indicate rapid growth in the deployment of machine learning,
genomics and scientific workloads on cloud computing infrastructure. However, efficiently …

In this paper we consider productivity challenges for parallel programmers and explore ways
that parallel language design might help improve end-user productivity. We offer a …

The goal of producing architecture-independent parallel programs is complicated by the
competing need for high performance. The ZPL programming language achieves both goals …

Programming parallel computers is an extremely challenging task for expert computer
programmers, let alone for scientists in other disciplines whose computations often drive the …

In this paper, we qualitatively address how high-level parallel languages improve
productivity and performance. Using ZPL as a case study, we discuss advantages that stem …

Hierarchical algorithms such as multigrid applications form an important cornerstone for
scientific computing. In this study, we take a first step toward evaluating parallel language …

This guide illustrates typical ZPL usage and explains in an intuitive manner how the
constructs work. The emphasis is on teaching the reader to be a ZPL programmer. Scientific …

Array languages such as Fortran 90, HPF and ZPL have many benefits in simplifying array-
based computations and expressing data parallelism. However, they can suffer large …

ZPL is an implicitly parallel programming language, which means all instructions to
implement and manage the parallelism are inserted by the compiler. It is the first implicitly …

In the solution of large-scale numerical problems, pamllel computing is becoming
simultaneously more important and more difictilt. The complex organization of today's …