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» Compositional Memory Systems for Data Intensive Applications
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KDD
2002
ACM
173views Data Mining» more  KDD 2002»
16 years 28 days ago
LumberJack: Intelligent Discovery and Analysis of Web User Traffic Composition
Web Usage Mining enables new understanding of user goals on the Web. This understanding has broad applications, and traditional mining techniques such as association rules have bee...
Ed Huai-hsin Chi, Adam Rosien, Jeffrey Heer
IPPS
2009
IEEE
15 years 7 months ago
Using hardware transactional memory for data race detection
Abstract—Widespread emergence of multicore processors will spur development of parallel applications, exposing programmers to degrees of hardware concurrency hitherto unavailable...
Shantanu Gupta, Florin Sultan, Srihari Cadambi, Fr...
89
Voted
DATE
2006
IEEE
93views Hardware» more  DATE 2006»
15 years 6 months ago
Restructuring field layouts for embedded memory systems
In many computer systems with large data computations, the delay of memory access is one of the major performance bottlenecks. In this paper, we propose an enhanced field remappi...
Keoncheol Shin, Jungeun Kim, Seonggun Kim, Hwansoo...
200
Voted
SIGMOD
2007
ACM
164views Database» more  SIGMOD 2007»
16 years 21 days ago
Fast data stream algorithms using associative memories
The primary goal of data stream research is to develop space and time efficient solutions for answering continuous online summarization queries. Research efforts over the last dec...
Nagender Bandi, Ahmed Metwally, Divyakant Agrawal,...
ICPP
1998
IEEE
15 years 4 months ago
Performance Implications of Architectural and Software Techniques on I/O-Intensive Applications
Many large scale applications, have significant I/O requirements as well as computational and memory requirements. Unfortunately, limited number of I/O nodes provided by the conte...
Meenakshi A. Kandaswamy, Mahmut T. Kandemir, Alok ...