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Dube, E.

Publications and source records attributed to Dube, E..

LDRD HPC4Energy Wrapup Report - LDRD 12-ERD-074

High-performance computing and simulation has the potential to optimize production, distribution, and conversion of energy. Although a number of concepts have been discussed, a comprehensive research project to establish and quantify the effectiveness of computing and simulation at scale to core energy problems has not been conducted. We propose to perform the basic research to adapt existing high-performance computing tools and simulation approaches to two selected classes of problems common across the energy sector. The first, applying uncertainty quantification and contingency analysis techniques to energy optimization, allows us to assess the effectiveness of LLNL core competencies to problems such as grid optimization and building-system efficiency. The second, applying adaptive meshing and numerical analysis techniques to physical problems at fine scale, could allow immediate impacts in key areas such as efficient combustion and fracture and spallation. By creating an integrated project team with the necessary expertise, we can efficiently address these issues, delivering both near-term results as well as quantifying developments needed to address future energy challenges.

29 ENERGY PLANNING, POLICY, AND ECONOMY↗

HPCS Productivity Study - Compiler Analysis Summary

As part of the HPCS Phase III Productivity Activity: Productivity Evaluation (D12683), Lawrence Livermore National Laboratory (LLNL) evaluated the IBM PERCS compliers, focusing on IBM’s POWER 7 chip. The goal of this analysis was to evaluate the PERCS compilers (C and FORTRAN) coupled to the POWER 7 chip under various scenarios using established benchmarks that Bor Chan, a Computer Scientist from LLNL, had expertise using on multiple platforms.

97 MATHEMATICS AND COMPUTING↗