Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Mitchel D. Horton"'
Publikováno v:
EPiC Series in Computing.
The near exponential growth in sequence data available to bioinformaticists, and the emergence of new fields of biological research, continue to fuel an incessant need for in- creases in sequence alignment performance. Today, more than ever before, b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5ce06ee45ef8bef7172a23144079ba2
https://doi.org/10.29007/qm7h
https://doi.org/10.29007/qm7h
Autor:
Mitchel D. Horton, Jon Marstrander, John-Paul Robinson, Frank Skidmore, Thomas Anthony, G. R. Brook
Publikováno v:
Big Data and Visual Analytics ISBN: 9783319639154
We describe a high performance/throughput computing approach for a full-brain bootstrapped analysis of Diffusion Tensor Imaging (DTI), with a targeted goal of robustly differentiating individuals with Parkinson’s Disease (PD) from healthy adults wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2c423504fe3aeae906d806407de669e
https://doi.org/10.1007/978-3-319-63917-8_15
https://doi.org/10.1007/978-3-319-63917-8_15
Autor:
R. Glenn Brook, Frank Skidmore, Yuliang Liu, Thomas Anthony, Jon Marstrander, Lonnie D. Crosby, Mitchel D. Horton, Chad Burdyshaw, Junqi Yin
Publikováno v:
XSEDE
The Analysis of Functional Neuroimaging (AFNI) suite [1], a set of C programs and auxiliary scripts for processing, analyzing, and displaying functional Magnetic Resonance Imaging (fMRI) data (a technique for mapping human brain activity), is a widel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca1d3be6bf0f939b1cfe6b1ecf9a554d
https://doi.org/10.1145/2949550.2949564
https://doi.org/10.1145/2949550.2949564
Autor:
Jeffrey Young, Jeremy S. Meredith, Jeffrey S. Vetter, Philip C. Roth, Mitchel D. Horton, M. Graham Lopez
Publikováno v:
PMBS@SC
The Scalable HeterOgeneous Computing (SHOC) benchmark suite was released in 2010 as a tool to evaluate the stability and performance of emerging heterogeneous architectures and to compare different programming models for compute devices used in those
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9c59f72840ebb0d78fa9c359ffb5718
https://doi.org/10.1145/2832087.2832090
https://doi.org/10.1145/2832087.2832090
Publikováno v:
BCB
The near exponential growth in sequence data available to bioinformaticists, and the emergence of new fields of biological research, continue to fuel an incessant need for increases in sequence alignment performance. Concurrently, the High Performanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55010ccbf16c2ef1621c2b94d40380de
https://doi.org/10.1145/2808719.2811435
https://doi.org/10.1145/2808719.2811435
Autor:
Jon Marstrander, Lonnie D. Crosby, Yuliang Liu, Chad Burdyshaw, Mitchel D. Horton, Junqi Yin, Thomas Anthony, R. Glenn Brook, Frank Skidmore
Publikováno v:
BCB
In the study of Parkinson's disease (PD), substantial research has shown a variety of findings within brain MR images that differ on a group-wise level between individuals with PD and healthy adults, including resting brain activity and blood flow [1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb4b6e73f317ad566c076c9f51c18f38
https://doi.org/10.1145/2808719.2816838
https://doi.org/10.1145/2808719.2816838
Publikováno v:
XSEDE
We present here ongoing work to produce an implementation of Brownian dynamics simulation using a matrix-free method with hardware accelerators. This work describes the GPU acceleration of a smooth particle-mesh Ewald (SPME) algorithm which is used f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa810271c5986d69a6fed3881301f66b
https://doi.org/10.1145/2616498.2616523
https://doi.org/10.1145/2616498.2616523
Autor:
Mitchel D. Horton, M. Graham Lopez
Publikováno v:
Numerical Computations with GPUs ISBN: 9783319065472
Numerical Computations with GPUs
Numerical Computations with GPUs
Matrix–matrix multiplication can be considered a linchpin of applied numerical dense linear algebra as the performance of many common dense linear algebra packages is closely tied to the performance of matrix–matrix multiplication. Batch matrix
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2876812eb298f40b5e0802085f6fadb
https://doi.org/10.1007/978-3-319-06548-9_3
https://doi.org/10.1007/978-3-319-06548-9_3
Autor:
Michael D. Vose, Mitchel D. Horton
Publikováno v:
Applied optics. 46(26)
An iterative method is presented for computed tomography imaging spectrometer (CTIS) image reconstruction in the presence of both photon noise in the image and postdetection Gaussian system noise. The new algorithm, which assumes the transfer matrix
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e538e4608339a849e04e3e6a894c0d6
https://pubmed.ncbi.nlm.nih.gov/17846642
https://pubmed.ncbi.nlm.nih.gov/17846642