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166
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SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
13 years 6 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
124
Voted
MIDDLEWARE
2007
Springer
15 years 9 months ago
XenSocket: A High-Throughput Interdomain Transport for Virtual Machines
This paper presents the design and implementation of XenSocket, a UNIX-domain-socket-like construct for high-throughput interdomain (VM-to-VM) communication on the same system. The...
Xiaolan Zhang, Suzanne McIntosh, Pankaj Rohatgi, J...
LATIN
2010
Springer
15 years 10 months ago
The I/O Complexity of Sparse Matrix Dense Matrix Multiplication
We consider the multiplication of a sparse N × N matrix A with a dense N × N matrix B in the I/O model. We determine the worst-case non-uniform complexity of this task up to a c...
Gero Greiner, Riko Jacob
120
Voted
ICS
2005
Tsinghua U.
15 years 9 months ago
Improving the computational intensity of unstructured mesh applications
Although unstructured mesh algorithms are a popular means of solving problems across a broad range of disciplines—from texture mapping to computational fluid dynamics—they ar...
Brian S. White, Sally A. McKee, Bronis R. de Supin...
HPCA
2002
IEEE
15 years 8 months ago
Non-Vital Loads
As the frequency gap between main memory and modern microprocessor grows, the implementation and efficiency of on-chip caches become more important. The growing latency to memory ...
Ryan Rakvic, Bryan Black, Deepak Limaye, John Paul...