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KDD
2006
ACM
155views Data Mining» more  KDD 2006»
14 years 8 months ago
Single-pass online learning: performance, voting schemes and online feature selection
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...
Vitor R. Carvalho, William W. Cohen
ASPLOS
2004
ACM
14 years 1 months ago
Compiler orchestrated prefetching via speculation and predication
This paper introduces a compiler-orchestrated prefetching system as a unified framework geared toward ameliorating the gap between processing speeds and memory access latencies. ...
Rodric M. Rabbah, Hariharan Sandanagobalane, Mongk...
VLDB
2007
ACM
166views Database» more  VLDB 2007»
14 years 1 months ago
To Share or Not To Share?
Intuitively, aggressive work sharing among concurrent queries in a database system should always improve performance by eliminating redundant computation or data accesses. We show...
Ryan Johnson, Nikos Hardavellas, Ippokratis Pandis...
ICFP
2009
ACM
14 years 8 months ago
Parallel concurrent ML
Concurrent ML (CML) is a high-level message-passing language that supports the construction of first-class synchronous abstractions called events. This mechanism has proven quite ...
John H. Reppy, Claudio V. Russo, Yingqi Xiao
PVLDB
2008
110views more  PVLDB 2008»
13 years 7 months ago
Fault-tolerant stream processing using a distributed, replicated file system
We present SGuard, a new fault-tolerance technique for distributed stream processing engines (SPEs) running in clusters of commodity servers. SGuard is less disruptive to normal s...
YongChul Kwon, Magdalena Balazinska, Albert G. Gre...