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Disa Mhembere
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{FlashGraph}: Processing {Billion-Node} Graphs on an Array of Commodity {SSDs}
D Zheng, D Mhembere, R Burns, J Vogelstein, CE Priebe, AS Szalay
13th USENIX Conference on File and Storage Technologies (FAST 15), 45-58, 2015
2392015
MIGRAINE: MRI graph reliability analysis and inference for connectomics
WG Roncal, ZH Koterba, D Mhembere, DM Kleissas, JT Vogelstein, ...
2013 IEEE Global Conference on Signal and Information Processing, 313-316, 2013
432013
A high-throughput pipeline identifies robust connectomes but troublesome variability
G Kiar, EW Bridgeford, WRG Roncal, V Chandrashekhar, D Mhembere, ...
bioRxiv, 188706, 2018
26*2018
Semi-external memory sparse matrix multiplication for billion-node graphs
D Zheng, D Mhembere, V Lyzinski, JT Vogelstein, CE Priebe, R Burns
IEEE Transactions on Parallel and Distributed Systems 28 (5), 1470-1483, 2016
232016
Computing scalable multivariate glocal invariants of large (brain-) graphs
D Mhembere, WG Roncal, D Sussman, CE Priebe, R Jung, S Ryman, ...
2013 IEEE Global Conference on Signal and Information Processing, 297-300, 2013
232013
ndmg: Neurodata’s mri graphs pipeline
G Kiar, W Gray Roncal, D Mhembere, E Bridgeford, R Burns, J Vogelstein
Zenodo, 2016
172016
Forest packing: Fast parallel, decision forests
J Browne, D Mhembere, TM Tomita, JT Vogelstein, R Burns
Proceedings of the 2019 SIAM International Conference on Data Mining, 46-54, 2019
132019
knor: a NUMA-optimized in-memory, distributed and semi-external-memory k-means library
D Mhembere, D Zheng, CE Priebe, JT Vogelstein, R Burns
Proceedings of the 26th International Symposium on High-Performance Parallel …, 2017
82017
FlashR: parallelize and scale R for machine learning using SSDs
D Zheng, D Mhembere, JT Vogelstein, CE Priebe, R Burns
Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of …, 2018
62018
Flashmatrix: parallel, scalable data analysis with generalized matrix operations using commodity ssds
D Zheng, D Mhembere, JT Vogelstein, CE Priebe, R Burns
arXiv preprint arXiv:1604.06414 9, 30, 2016
62016
MIGRAINE: MRI graph reliability analysis and inference for connectomics
W Gray Roncal, ZH Koterba, D Mhembere, DM Kleissas, JT Vogelstein, ...
arXiv e-prints, arXiv: 1312.4875, 2013
62013
clusterNOR: A NUMA-Optimized Clustering Framework
D Mhembere, D Zheng, CE Priebe, JT Vogelstein, R Burns
arXiv preprint arXiv:1902.09527, 2019
42019
A low-resource reliable pipeline to democratize multi-modal connectome estimation and analysis
R Lawrence, A Loftus, G Kiar, EW Bridgeford, WG Roncal, ...
bioRxiv, 2021
22021
Graphyti: a semi-external memory graph library for FlashGraph
D Mhembere, D Zheng, CE Priebe, JT Vogelstein, R Burns
arXiv preprint arXiv:1907.03335, 2019
22019
Massive diffusion mri graph structure preserves spatial information
DL Sussman, D Mhembere, S Ryman, R Jung, RJ Vogelstein, R Burns, ...
Organization for Human Brain Mapping, 2013
12013
Scalable Graph Analysis and Clustering on Commodity Hardware
DN Mhembere
Johns Hopkins University, 2019
2019
Feature Clustering from a Brain Graph for Voxel-to-Region Classification
N Sismanis, DL Sussman, JT Vogelstein, W Gray, RJ Vogelstein, ...
A Comprehensive Cloud Framework for Scalable, Reliable, and Replicable Human Connectome Es-timation and Meganalysis
G Kiar, WRG Roncal, V Chandrashekhar, EW Bridgeford, D Mhembere, ...
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Artikelen 1–18