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KDD
2009
ACM
198views Data Mining» more  KDD 2009»
14 years 8 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
ICS
2009
Tsinghua U.
14 years 2 months ago
Fast and scalable list ranking on the GPU
General purpose programming on the graphics processing units (GPGPU) has received a lot of attention in the parallel computing community as it promises to offer the highest perfo...
M. Suhail Rehman, Kishore Kothapalli, P. J. Naraya...
IPPS
2009
IEEE
14 years 2 months ago
Parallel reconstruction of neighbor-joining trees for large multiple sequence alignments using CUDA
Computing large multiple protein sequence alignments using progressive alignment tools such as ClustalW requires several hours on state-of-the-art workstations. ClustalW uses a th...
Yongchao Liu, Bertil Schmidt, Douglas L. Maskell
SDM
2012
SIAM
297views Data Mining» more  SDM 2012»
11 years 10 months ago
A Flexible Open-Source Toolbox for Scalable Complex Graph Analysis
The Knowledge Discovery Toolbox (KDT) enables domain experts to perform complex analyses of huge datasets on supercomputers using a high-level language without grappling with the ...
Adam Lugowski, David M. Alber, Aydin Buluç,...
SIAMSC
2008
129views more  SIAMSC 2008»
13 years 7 months ago
Bottom-Up Construction and 2: 1 Balance Refinement of Linear Octrees in Parallel
Abstract. In this article, we propose new parallel algorithms for the construction and 2:1 balance refinement of large linear octrees on distributed memory machines. Such octrees a...
Hari Sundar, Rahul S. Sampath, George Biros