We present our effort to provide a comprehensive parallel programming environment for the OpenMP parallel directive language. This environment includes a parallel programming methodology for the OpenMP programming model and a set of tools ( Ursa Minor and InterPol) that support this methodology. Our toolset provides automated and interactive assistance to parallel programmers in time-consuming tasks of the proposed methodology. The features provided by our tools include performance and program structure visualization, interactive optimization, support for performance modeling, and performance advising for finding and correcting performance problems. The presented evaluation demonstrates that our environment offers significant support in gen...
The book Using OpenMP: Portable Shared Memory Parallel Programming, presents OpenMP more than approp...
This paper describes OpenMP parser for Ada, which is meant to make parallel programming in Ada simpl...
Parallelism has become more and more commonplace with the advent of the multicore processors. Altho...
We present our effort to provide a comprehensive parallel programming environment for the OpenMP par...
OpenMP is a popular application programming interface (API) used to write shared-memory parallel pro...
AbstractOpenMP is a successful approach to writing threaded parallel applications. This article desc...
This chapter discusses the code parallelization environment, where a number of tools that address th...
In this paper we will make an experimental description of the parallel programming using OpenMP. Usi...
In recent years parallel computing has become ubiquitous. Lead by the spread of commodity multicore ...
The availability of modern commodity multicore processors and multiprocessor computer systems has re...
Shared memory parallel programming, for instance by inserting OpenMP pragmas into program code, migh...
OpenMP has established itself as the de facto standard for parallel programming on shared-memory pla...
The need for parallel programming models that are simple to use and at the same time efficient for c...
Abstract—OpenMP has been very successful in exploiting structured parallelism in applications. With ...
Twenty-first century parallel programming models are becoming real complex due to the diversity of ...
The book Using OpenMP: Portable Shared Memory Parallel Programming, presents OpenMP more than approp...
This paper describes OpenMP parser for Ada, which is meant to make parallel programming in Ada simpl...
Parallelism has become more and more commonplace with the advent of the multicore processors. Altho...
We present our effort to provide a comprehensive parallel programming environment for the OpenMP par...
OpenMP is a popular application programming interface (API) used to write shared-memory parallel pro...
AbstractOpenMP is a successful approach to writing threaded parallel applications. This article desc...
This chapter discusses the code parallelization environment, where a number of tools that address th...
In this paper we will make an experimental description of the parallel programming using OpenMP. Usi...
In recent years parallel computing has become ubiquitous. Lead by the spread of commodity multicore ...
The availability of modern commodity multicore processors and multiprocessor computer systems has re...
Shared memory parallel programming, for instance by inserting OpenMP pragmas into program code, migh...
OpenMP has established itself as the de facto standard for parallel programming on shared-memory pla...
The need for parallel programming models that are simple to use and at the same time efficient for c...
Abstract—OpenMP has been very successful in exploiting structured parallelism in applications. With ...
Twenty-first century parallel programming models are becoming real complex due to the diversity of ...
The book Using OpenMP: Portable Shared Memory Parallel Programming, presents OpenMP more than approp...
This paper describes OpenMP parser for Ada, which is meant to make parallel programming in Ada simpl...
Parallelism has become more and more commonplace with the advent of the multicore processors. Altho...