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pro vyhledávání: '"Joshua Dennis"'
Autor:
Joshua Dennis Booth, Gregory S. Bolet
Publikováno v:
IEEE Access, Vol 11, Pp 31619-31635 (2023)
Many graph-based algorithms in high performance computing (HPC) use approximate solutions due to having algorithms that are computationally expensive or serial in nature. Neural acceleration, i.e., the process of speeding up approximation computation
Externí odkaz:
https://doaj.org/article/5faf03a08e614718912d00d57a1df81d
The solution of a sparse system of linear equations is ubiquitous in scientific applications. Iterative methods, such as the Preconditioned Conjugate Gradient method (PCG), are normally chosen over direct methods due to memory and computational compl
Externí odkaz:
http://arxiv.org/abs/2403.00743
Sparse matrix-vector multiplication (SpMV) is one of the most important kernels in high-performance computing (HPC), yet SpMV normally suffers from ill performance on many devices. Due to ill performance, SpMV normally requires special care to store
Externí odkaz:
http://arxiv.org/abs/2203.05096
Autor:
Booth, Joshua Dennis, Lane, Phillip
Many shared-memory parallel irregular applications, such as sparse linear algebra and graph algorithms, depend on efficient loop scheduling (LS) in a fork-join manner despite that the work per loop iteration can greatly vary depending on the applicat
Externí odkaz:
http://arxiv.org/abs/2007.07977
Autor:
Booth, Joshua Dennis, Bolet, Gregory
In this work, we present a new scalable incomplete LU factorization framework called Javelin to be used as a preconditioner for solving sparse linear systems with iterative methods. Javelin allows for improved parallel factorization on shared-memory
Externí odkaz:
http://arxiv.org/abs/1812.06160
Publikováno v:
In Parallel Computing February 2023 115
Scalable sparse LU factorization is critical for efficient numerical simulation of circuits and electrical power grids. In this work, we present a new scalable sparse direct solver called Basker. Basker introduces a new algorithm to parallelize the G
Externí odkaz:
http://arxiv.org/abs/1601.05725
An on-node scalable sparse incomplete LU factorization for a many-core iterative solver with Javelin
Autor:
Booth, Joshua Dennis, Bolet, Gregory
Publikováno v:
In Parallel Computing June 2020 94-95
Autor:
Charlie Huveneers, Yuri Niella, Michael Drew, Joshua Dennis, Thomas M. Clarke, Alison Wright, Simon Bryars, Matias Braccini, Chris Dowling, Stephen J. Newman, Paul Butcher, Scott Dalton
Publikováno v:
Marine and Freshwater Research. 73:1404-1410
There are increasing concerns over the possible effects of aquaculture pens on the local abundance and residency of sharks, and its associated risk for shark bites at nearby beaches and surf breaks. We used acoustic tracking and a before–during–a