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Incomplete factorization preconditioners such as ILU, ILUT and MILU are well-known robust general-purpose techniques for solving linear systems on serial computers. However, they are difficult to parallelize efficiently. Various techniques have been used to parallelize these preconditioners, such as multicolor orderings and subdomain preconditioning. These(More)
In this paper we describe the Denovo code system. Denovo solves the six-dimensional, steady-state, linear Boltzmann transport equation, of central importance to nuclear technology applications such as reactor core analysis (neutronics), radiation shielding, nuclear forensics and radiation detection. The code features multiple spatial differencing schemes,(More)
This paper presents a fully parallel implementation of the global lexicographically ordered M/ILU preconditioning for linear systems arising from structured 3-D problems. M/ILU preconditionings, which are popular on conventional serial architectures, have not been easily amenable to parallelization due to their sequentiality, leading to the need to reorder(More)
Design of data structures for high performance computing (HPC) is one of the principal challenges facing researchers looking to utilize heterogeneous computing machinery. Heterogeneous systems derive cost, power, and speed efficiency by being composed of the appropriate hardware for the task. Yet, each type of processor requires a specific organization of(More)
—In this study we investigate computational workloads for the Jaguar system during its tenure as a 2.3 petaflop system at Oak Ridge National Laboratory. The study is based on a comprehensive analysis of MOAB and ALPS job logs over this period. We consider Jaguar utilization over time, usage patterns by science domain, most heavily used applications and(More)
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