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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...
PE
2010
Springer
102views Optimization» more  PE 2010»
13 years 6 months ago
Extracting state-based performance metrics using asynchronous iterative techniques
Solution of large sparse linear fixed-point problems lies at the heart of many important performance analysis calculations. These calculations include steady-state, transient and...
Douglas V. de Jager, Jeremy T. Bradley
SIGMOD
2005
ACM
143views Database» more  SIGMOD 2005»
14 years 7 months ago
Holistic Aggregates in a Networked World: Distributed Tracking of Approximate Quantiles
While traditional database systems optimize for performance on one-shot queries, emerging large-scale monitoring applications require continuous tracking of complex aggregates and...
Graham Cormode, Minos N. Garofalakis, S. Muthukris...
CONCURRENCY
1998
87views more  CONCURRENCY 1998»
13 years 7 months ago
Titanium: A High-performance Java Dialect
Titanium is a language and system for high-performance parallel scientific computing. Titanium uses Java as its base, thereby leveraging the advantages of that language and allow...
Katherine A. Yelick, Luigi Semenzato, Geoff Pike, ...
AISS
2010
146views more  AISS 2010»
13 years 2 months ago
Zatara, the Plug-in-able Eventually Consistent Distributed Database
With the proliferation of the computer Cloud, new software delivery methods were created. In order to build software to fit into one of these models, a scalable, easy to deploy st...
Bogdan Carstoiu, Dorin Carstoiu