Coarray Fortran (CAF) comprises a set of proposed language extensions to Fortran that are expected to be adopted as part of the Fortran 2008 standard. In contrast to prior open-source implementation efforts, our approach is to use a single, unified compiler infrastructure to translate, optimize and generate binaries from CAF codes. In this paper, we will describe our compiler and runtime implementation of CAF using an Open64-based compiler infrastructure. We will detail the process by which we generate a high-level intermediate representation from the CAF code in our compilers front-end, how our compiler analyzes and translate this IR to generate a binary which makes use of our runtime system, and how we support the runtime execution model with our runtime library. We have carried out experiments using both an ARMCI-and GASNetbased runtime implementation, and we present these results.

SUMMARYManycore accelerators have the potential to significantly improve performance of scientific applications when offloading computationally intensive program portions to accelerators. Directive-based high-level programming models, such as OpenACC and OpenMP, are used to create applications for accelerators through annotating regions of code meant for offloading. OpenACC is an emerging directive-based programming model for programming accelerators that typically enable inexperienced programmers to achieve portable and productive performance within applications. In this paper, we present our research in developing challenges and solutions when creating an open-source OpenACC compiler in an industrial framework (OpenUH as a branch of Open64). We then discuss in detail techniques we developed for loop scheduling reduction operations on general purpose GPUs. The compiler is evaluated with benchmarks from the NAS Parallel Benchmarks suite and self-written micro-benchmarks for reduction operations. This implementation has been designed to serve as a compiler infrastructure for researchers to explore advanced compiler techniques, extend OpenACC to other programming models, and build performance tools used in conjunction with OpenACC programs.

No abstract

No abstract

No abstract