While OpenMP is the de facto standard of shared memory parallel programming models, a number of alternative programming models and runtime systems have arisen in recent years. Fairly evaluating these programming systems can be challenging and can require significant manual effort on the part of researchers. However, it is important to facilitate these comparisons as a way of advancing both the ...

parallel computing is a topic of interest for a broad scientific community since it facilitates many time-consuming algorithms in different application domains.in this paper, we introduce a novel platform for parallel computing by using mpi and openmp programming languages based on set of networked pcs. umzhpc is a free linux-based parallel computing infrastructure that has been developed to cr...

OpenMP is a popular and evolving programming model for shared-memory platforms. It relies on compilers to target modern hardware architectures for optimal performance. A variety of extensible and robust research compilers are key to OpenMP’s sustainable success in the future. In this paper, we present our efforts to build an OpenMP 3.0 research compiler for C, C++, and Fortran using the ROSE so...

OpenMP [1] is an important API for shared memory programming, combining shared memory’s potential for performance with a simple programming interface. Unfortunately, OpenMP lacks a critical tool for demonstrating whether programs are correct: a formal memory model. Instead, the current official definition of the OpenMP memory model (the OpenMP 2.5 specification [1]) is in terms of informal pros...

This technical report describes possible future directions or extensions to the OpenMP Specification. The goal of this technical report is to build more widespread existing practice for an expanded OpenMP. It gives advice on extensions or future directions to those vendors who wish to provide them possibly for trial implementation, allows OpenMP to gather early feedback, support timing and sche...

The memory model of OpenMP has been widely misunderstood since the first OpenMP specification was published in 1997 (Fortran 1.0). The proposed OpenMP specification (version 2.5) includes a memory model section to address this issue. This section unifies and clarifies the text about the use of memory in all previous specifications, and relates the model to well-known memory consistency semantic...

Real application codes in OpenMP obviously measure the performance of OpenMP programming on the real problems. Although this is ultimately what the end-user wants, the full real applications are often complex and large. In order to obtain a guide to the performance of OpenMP parallel programs in any given parallel systems, kernel and synthetic benchmarks are useful. PARKBENCH[4] is a set of ben...

This paper introduces stOMP: a specializing thread-library for OpenMP. Using a combined compile-time and run-time system, stOMP specializes OpenMP parallel regions for frequently-seen values and the configuration of the runtime system. An overview of stOMP is presented as well as motivation for the runtime optimization of OpenMP applications. The overheads incurred by a prototype implementation...

The paper presents a compiler framework for analyzing and optimizing OpenMP programs. The framework includes Parallel Control Flow Graph and Parallel Data Flow equations based on the OpenMP relaxed memory consistency model. It enables traditional compiler analyses as well as specific optimizations for OpenMP. Based on the framework, we describe dead code elimination and barrier elimination algo...