This paper describes the portable implementation of a programming model based on shared objects that integrates task and data parallelism. As a starting point, the implementation uses two existing runtime systems: the Orca runtime system (RTS), for task parallel programming, and Hawk, for data parallel programming. To achieve this portable integration, we implemented the Orca RTS and Hawk on to...

Parallel and distributed systems programming skills has become a common requirement in the development of modern applications. It is imperative that an updated curriculum in computer science include these topics not only as advanced (often elective) programming courses. There is a general consensus that parallel programming topics should be spread in contents of several core courses and these t...

Parallel programming models exist as an abstraction of hardware and memory architectures. There are several parallel programming models in commonly use; they are shared memory model, thread model, message passing model, data parallel model, hybrid model, Flynn’s models, embarrassingly parallel computations model, pipelined computations model. These models are not specific to a particular type o...

Visual programming arguably provides greater benefit in explicit parallel programming, particularly coarse grain MIMD programming, than in sequential programming. Explicitly parallel programs are multi-dimensional objects; the natural representations of a parallel program are annotated directed graphs: data flow graphs, control flow graphs, etc. where the nodes of the graphs are sequential comp...

The purpose of this book is to help you program shared-memory parallel machines without risking your sanity. We hope that this book's design principles will help you avoid at least some parallel-programming pitfalls. That said, you should think of this book as a foundation on which to build, rather than as a completed cathedral. Your mission, if you choose to accept, is to help make further pro...

The goal of this report is to survey state of the art and existing approaches for parallel programming on workstation clusters with special emphasis on object{oriented programming. First, workstation clusters as parallel computing platforms are characterized and fundamental concepts for parallel programming are discussed. Then, an overview of existing tools, systems, languages, and environments...

Today, parallel programming is dominated by message passing libraries such as MPI. Algorithmic skeletons intend to simplify parallel programming by their expressive power. The idea is to offer typical parallel programming patterns as polymorphic higher-order functions which are efficiently implemented in parallel. Skeletons can be understood as a domain-specific language for parallel programmin...

Banger is a parallel programming environment used by non-professional programmers to write explicitly parallel large-grain parallel programs. The goals of Banger are: 1. extreme ease of use, 2. immediate feedback, and 3. machineindependence. Banger is based on three principles: 1. separation of parallel programming-in-the-large from sequential programming-in-the-small, 2. separation of programm...

Parallel Programming Hung-Khoon Tan Wentong Cai Computer Engineering Division School of Applied Science Nanyang Technological University Singapore 2263 Abstract The performance and cost-performance bene ts of parallel systems make them attractive platforms for many applications. But, these are unfortunately o set by the di culties of programming parallel computers. Therefore, programming tools ...