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» Mapping Computation with No Memory
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CG
2004
Springer
15 years 6 months ago
Hierarchical graph maps
nd maps are powerful abstractions. Their combination, Hierarchical Graph Maps, provide effective tools to process a graph that is too large to fit on the screen. They provide hier...
James Abello
IPPS
2003
IEEE
15 years 12 months ago
Global Communication Optimization for Tensor Contraction Expressions under Memory Constraints
The accurate modeling of the electronic structure of atoms and molecules involves computationally intensive tensor contractions involving large multi-dimensional arrays. The effi...
Daniel Cociorva, Xiaoyang Gao, Sandhya Krishnan, G...
IJCNN
2000
IEEE
15 years 11 months ago
EM Algorithms for Self-Organizing Maps
eresting web-available abstracts and papers on clustering: An Analysis of Recent Work on Clustering Algorithms (1999), Daniel Fasulo : This paper describes four recent papers on cl...
Tom Heskes, Jan-Joost Spanjers, Wim Wiegerinck
BMCBI
2008
113views more  BMCBI 2008»
15 years 6 months ago
SNPFile - A software library and file format for large scale association mapping and population genetics studies
Background: High-throughput genotyping technology has enabled cost effective typing of thousands of individuals in hundred of thousands of markers for use in genome wide studies. ...
Jesper Nielsen, Thomas Mailund
HPCA
2012
IEEE
14 years 2 months ago
System-level implications of disaggregated memory
Recent research on memory disaggregation introduces a new architectural building block—the memory blade—as a cost-effective approach for memory capacity expansion and sharing ...
Kevin T. Lim, Yoshio Turner, Jose Renato Santos, A...