Tiling is widely used by compilers and programmer to optimize scientific and engineering code for better performance. Many parallel programming languages support tile/tiling directly through first-class language constructs or library routines. However, the current OpenMP programming language is tile oblivious, although it is the de facto standard for writing parallel programs on shared memory s...

We propose an infrastructure based on the Open64 compiler for analyzing, modeling and optimizing MPI and/or OpenMP applications. The framework consists of four main parts: a compiler, microbenchmarks, a user interface and a runtime library. The compiler generates the application signature containing a portable representation of the application structure that may influence program performance. M...

The shared memory paradigm provides many benefits to the parallel programmer, particular with respect to applications that are hard to parallelize. Unfortunately, there are currently no efficient implementations of OpenMP for distributed memory platforms and this greatly diminishes its usefulness for real world parallel application development. In this paper we introduce a basic strategy for im...

This paper presents our design and implementation of a framework for analyzing and optimizing OpenMP programs within the OpenUH compiler, which is based on Open64. The paper describes the existing analyses and optimizations in OpenUH, and explains why the compiler may not apply classical optimizations to OpenMP programs directly. It then presents an enhanced compiler framework including Paralle...

OpenMP provides a portable programming interface on shared memory multiprocessors (SMPs). The set of features in the current OpenMP specification provides essential functionality that was selected mostly from existing shared-memory parallel application programming interfaces (APIs). Although this interface has proven successful for small SMPs, it requires greater flexibility in light of the ste...

We present a new set of tools for the language-centric performance analysis and debugging of OpenMP programs that allows programmers to relate dynamic information from parallel execution to OpenMP constructs. Users can visualize execution traces, examine aggregate metrics on parallel loops and tasks, such as load imbalance or synchronization overhead, and obtain detailed information on specific...

This paper describes automatic coarse grain parallel processing on a shared memory multiprocessor system using a newly developed OpenMP backend of OSCAR multigrain parallelizing compiler for from single chip multiprocessor to a high performance multiprocessor and a heterogeneous supercomputer cluster. OSCAR multigrain parallelizing compiler exploits coarse grain task parallelism and near ne gra...

OpenMP is the current standard for shared-memory programming. While providing ease of parallel programming, the OpenMP programming model also has limitations which often effect the scalability of applications. Examples for these limitations are work distribution and point-to-point synchronization among threads. We propose extensions to the OpenMP programming model which allow the user to easily...

Omni remote procedure call facility, OmniRPC, is a threadsafe grid RPC facility for cluster and global computing environments. The remote libraries are implemented as executable programs in each remote computer, and OmniRPC automatically allocates remote library calls dynamically on appropriate remote computers to facilitate location transparency. We propose to use OpenMP as an easy-to-use and ...

Today many high performance computers are collections of shared memory compute nodes with each compute node having one or more multi-core processors. When writing parallel programs for these machines, one can use pure MPI or various hybrid approaches using MPI and OpenMP. Since OpenMP threads are lighter weight than MPI processes, one would expect that hybrid approaches will achieve better perf...