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» Optimizing for parallelism and data locality
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ICPP
1998
IEEE
15 years 4 months ago
Minimizing Data and Synchronization Costs in One-Way Communication
In contrast to the conventional send/receive model, the one-way communication model--using Put and Synch--allows the decoupling of message transmission from synchronization. This ...
Mahmut T. Kandemir, U. Nagaraj Shenoy, Prithviraj ...
103
Voted
MICRO
2000
IEEE
107views Hardware» more  MICRO 2000»
15 years 12 days ago
An integrated approach to accelerate data and predicate computations in hyperblocks
To exploit increased instruction-level parallelism available in modern processors, we describe the formation and optimization of tracenets, an integrated approach to reducing the ...
Alexandre E. Eichenberger, Waleed Meleis, Suman Ma...
125
Voted
HPDC
2002
IEEE
15 years 5 months ago
Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
In high energy physics, bioinformatics, and other disciplines, we encounter applications involving numerous, loosely coupled jobs that both access and generate large data sets. So...
Kavitha Ranganathan, Ian T. Foster
MSN
2007
Springer
130views Sensor Networks» more  MSN 2007»
15 years 6 months ago
Localized Mobility Control Routing in Robotic Sensor Wireless Networks
The paper addresses mobility control routing in robotic sensor wireless networks, where either mobile sensors or mobile actuators assist in wireless data intensive transmissions fr...
Hai Liu, Amiya Nayak, Ivan Stojmenovic
116
Voted
IPPS
2006
IEEE
15 years 6 months ago
Design and analysis of a multi-dimensional data sampling service for large scale data analysis applications
Sampling is a widely used technique to increase efficiency in database and data mining applications operating on large dataset. In this paper we present a scalable sampling imple...
Xi Zhang, Tahsin M. Kurç, Joel H. Saltz, Sr...