Parallel programming in OpenMP
Parallel programming in OpenMP
Defining and Measuring the Productivity of Programming Languages
International Journal of High Performance Computing Applications
An integrated approach to improving the parallel application development process
IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing
International Journal of High Performance Computing Applications
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In the world of high-performance computing (HPC), there has been an increased focus in recent years upon the importance of productivity in HPC application development. One crucial aspect of productivity is the programming model used, and the family of partitioned global-address-space (PGAS) models, such as UPC and X10, has served to advance the state of the art in balancing performance and productivity. Also of great importance is the variety of development tools used to support activities such as editing, debugging, and optimizing programs. These tools are often most useful as part of an integrated development environment (IDE). While some progress has been made towards bringing IDE capabilities into the HPC world, in particular by way of Eclipse projects, support has mainly focused on MPI and OpenMP tools. In this paper, we present research and development activities that are bringing Eclipse-based IDE capabilities to the PGAS developer community. We focus on tools for UPC, giving background on previously existing capabilities to work with UPC programs in Eclipse and then presenting a tool-chain and project wizard for the open-source Berkeley UPC compiler, basic UPC static analysis tools, and integration of our performance analysis tool (Parallel Performance Wizard) supporting UPC. Finally, we conclude by proposing future work and providing recommendations for further integration of UPC and other PGAS tools to enhance overall developer productivity.