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KDD
2012
ACM
235views Data Mining» more  KDD 2012»
11 years 10 months ago
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
Ninh Pham, Rasmus Pagh
PVLDB
2010
167views more  PVLDB 2010»
13 years 6 months ago
The Performance of MapReduce: An In-depth Study
MapReduce has been widely used for large-scale data analysis in the Cloud. The system is well recognized for its elastic scalability and fine-grained fault tolerance although its...
Dawei Jiang, Beng Chin Ooi, Lei Shi, Sai Wu
MSS
2003
IEEE
90views Hardware» more  MSS 2003»
14 years 26 days ago
NSM: A Distributed Storage Architecture for Data-Intensive Applications
: Several solutions have been developed to provide dataintensive applications with the highest possible data rates. Such solutions tried to utilize the available network resources ...
Zeyad Ali, Qutaibah M. Malluhi
PVM
1997
Springer
13 years 11 months ago
Embedding SCI into PVM
The extremely low latencies and high bandwidth results achievable with the Scalable Coherent Interface SCI at lowest level encourages its integration into existing Message Passin...
Markus Fischer, Jens Simon
CLUSTER
2009
IEEE
13 years 5 months ago
Coordinating the use of GPU and CPU for improving performance of compute intensive applications
GPUs have recently evolved into very fast parallel co-processors capable of executing general purpose computations extremely efficiently. At the same time, multi-core CPUs evolutio...
George Teodoro, Rafael Sachetto Oliveira, Olcay Se...