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» Optimization of Collective Reduction Operations
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PAMI
2006
127views more  PAMI 2006»
14 years 9 months ago
Incremental Nonlinear Dimensionality Reduction by Manifold Learning
Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...
Martin H. C. Law, Anil K. Jain
PDPTA
2007
14 years 11 months ago
A collective I/O implementation based on Inspector-Executor paradigm
In this paper we present a multiple phase I/O collective operation for generic block cyclic distributions. The communication pattern is automatically generated by an inspector pha...
David E. Singh, Florin Isaila, Juan Carlos Pichel,...
CRYPTO
2005
Springer
96views Cryptology» more  CRYPTO 2005»
15 years 3 months ago
Privacy-Preserving Set Operations
In many important applications, a collection of mutually distrustful parties must perform private computation over multisets. Each party’s input to the function is his private i...
Lea Kissner, Dawn Xiaodong Song
SPAA
2006
ACM
15 years 3 months ago
Towards automatic parallelization of tree reductions in dynamic programming
Tree contraction algorithms, whose idea was first proposed by Miller and Reif, are important parallel algorithms to implement efficient parallel programs manipulating trees. Desp...
Kiminori Matsuzaki, Zhenjiang Hu, Masato Takeichi
72
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IPPS
2007
IEEE
15 years 4 months ago
Link Shutdown Opportunities During Collective Communications in 3-D Torus Nets
As modern computing clusters used in scientific computing applications scale to ever-larger sizes and capabilities, their operational energy costs have become prohibitive. While ...
S. Conner, Sayaka Akioka, Mary Jane Irwin, Padma R...