Publications

Barrett, Richard F.; Doerfler, Douglas W.; Crozier, Paul C.; Heroux, Michael A.; Lin, Paul L.; Thornquist, Heidi K.; Trucano, Timothy G.; Vaughan, Courtenay T.

Abstract not provided.

Proposed for publication in Future Generation Computer Systems.

Barrett, Richard F.; Trucano, Timothy G.; Doerfler, Douglas W.; Dosanjh, Sudip S.; Hammond, Simon D.; Hemmert, Karl S.; Heroux, Michael A.; Lin, Paul L.; Pedretti, Kevin P.; Rodrigues, Arun

Abstract not provided.

Barrett, Richard F.; Vaughan, Courtenay T.; Heroux, Michael A.

A broad range of scientific computation involves the use of difference stencils. In a parallel computing environment, this computation is typically implemented by decomposing the spacial domain, inducing a 'halo exchange' of process-owned boundary data. This approach adheres to the Bulk Synchronous Parallel (BSP) model. Because commonly available architectures provide strong inter-node bandwidth relative to latency costs, many codes 'bulk up' these messages by aggregating data into a message as a means of reducing the number of messages. A renewed focus on non-traditional architectures and architecture features provides new opportunities for exploring alternatives to this programming approach. In this report we describe miniGhost, a 'miniapp' designed for exploration of the capabilities of current as well as emerging and future architectures within the context of these sorts of applications. MiniGhost joins the suite of miniapps developed as part of the Mantevo project.

Parks, Michael L.; Heroux, Michael A.; Day, David M.; Littlewood, David J.

Abstract not provided.

Hendry, Gilbert H.; Heroux, Michael A.; Clay, Robert L.

Abstract not provided.

Willenbring, James M.; Heroux, Michael A.; Devine, Karen D.; Boman, Erik G.

Abstract not provided.

Ferreira, Kurt; Heroux, Michael A.; Hoemmen, Mark F.

Abstract not provided.

Rajamanickam, Sivasankaran R.; Heroux, Michael A.; Boman, Erik G.

Abstract not provided.

Willenbring, James M.; Heroux, Michael A.

Software lifecycles are becoming an increasingly important issue for computational science and engineering (CSE) software. The process by which a piece of CSE software begins life as a set of research requirements and then matures into a trusted high-quality capability is both commonplace and extremely challenging. Although an implicit lifecycle is obviously being used in any effort, the challenges of this process - respecting the competing needs of research vs. production - cannot be overstated. Here we describe a proposal for a well-defined software lifecycle process based on modern Lean/Agile software engineering principles. What we propose is appropriate for many CSE software projects that are initially heavily focused on research but also are expected to eventually produce usable high-quality capabilities. The model is related to TriBITS, a build, integration and testing system, which serves as a strong foundation for this lifecycle model, and aspects of this lifecycle model are ingrained in the TriBITS system. Here, we advocate three to four phases or maturity levels that address the appropriate handling of many issues associated with the transition from research to production software. The goals of this lifecycle model are to better communicate maturity levels with customers and to help to identify and promote Software Engineering (SE) practices that will help to improve productivity and produce better software. An important collection of software in this domain is Trilinos, which is used as the motivation and the initial target for this lifecycle model. However, many other related and similar CSE (and non-CSE) software projects can also make good use of this lifecycle model, especially those that use the TriBITS system. Indeed this lifecycle process, if followed, will enable large-scale sustainable integration of many complex CSE software efforts across several institutions.

Parks, Michael L.; Heroux, Michael A.; Day, David M.; Frischknecht, Amalie F.

Abstract not provided.

Hoemmen, Mark F.; Heroux, Michael A.; Ferreira, Kurt

Abstract not provided.

Scientific Programming

Willenbring, James M.; Heroux, Michael A.

Abstract not provided.

Barrett, Richard F.; Heroux, Michael A.; Lin, Paul L.; Vaughan, Courtenay T.; Williams, Alan B.

Abstract not provided.

Parks, Michael L.; Heroux, Michael A.; Frischknecht, Amalie F.; Day, David M.

Abstract not provided.

Thornquist, Heidi K.; Hoemmen, Mark F.; Heroux, Michael A.; Lehoucq, Richard B.; Parks, Michael L.; Day, David M.

Abstract not provided.

Boman, Erik G.; Heroux, Michael A.; Keiter, Eric R.; Rajamanickam, Sivasankaran R.; Schiek, Richard S.; Thornquist, Heidi K.

Abstract not provided.

Heroux, Michael A.

This report summarizes the progress made as part of a one year lab-directed research and development (LDRD) project to fund the research efforts of Bryan Marker at the University of Texas at Austin. The goal of the project was to develop new techniques for automatically tuning the performance of dense linear algebra kernels. These kernels often represent the majority of computational time in an application. The primary outcome from this work is a demonstration of the value of model driven engineering as an approach to accurately predict and study performance trade-offs for dense linear algebra computations.

Sunderland, Daniel S.; Porter, V.L.; Heroux, Michael A.

Abstract not provided.

Heroux, Michael A.

Abstract not provided.

Barrett, Richard F.; Heroux, Michael A.; Lin, Paul L.; Vaughan, Courtenay T.; Williams, Alan B.

Abstract not provided.

Heroux, Michael A.

Abstract not provided.

Hoemmen, Mark F.; Ferreira, Kurt; Heroux, Michael A.; Brightwell, Ronald B.

Abstract not provided.

Rajamanickam, Sivasankaran R.; Boman, Erik G.; Heroux, Michael A.

Abstract not provided.

Heroux, Michael A.

Abstract not provided.

Rajamanickam, Sivasankaran R.; Boman, Erik G.; Heroux, Michael A.

Abstract not provided.