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IPPS
2005
IEEE
16 years 10 days ago
Partial Clustering: Maintaining Connectivity in a Low Duty-Cycled Dense Wireless Sensor Network
— We consider a dense wireless sensor network where the radio transceivers of the sensor nodes are heavily duty-cycled in order to conserve energy. The chief purpose of the senso...
Chih-fan Hsin, Mingyan Liu
MICRO
2010
IEEE
210views Hardware» more  MICRO 2010»
15 years 4 months ago
Thread Cluster Memory Scheduling: Exploiting Differences in Memory Access Behavior
In a modern chip-multiprocessor system, memory is a shared resource among multiple concurrently executing threads. The memory scheduling algorithm should resolve memory contention...
Yoongu Kim, Michael Papamichael, Onur Mutlu, Mor H...
HIPC
2009
Springer
15 years 4 months ago
Comparing the performance of clusters, Hadoop, and Active Disks on microarray correlation computations
Abstract--Microarray-based comparative genomic hybridization (aCGH) offers an increasingly fine-grained method for detecting copy number variations in DNA. These copy number variat...
Jeffrey A. Delmerico, Nathanial A. Byrnes, Andrew ...
MICRO
2011
IEEE
407views Hardware» more  MICRO 2011»
15 years 1 months ago
Thread Cluster Memory Scheduling
In a modern chip-multiprocessor system, memory is a shared resource among multiple concurrently executing threads. The memory scheduling algorithm should resolve memory contention...
Yoongu Kim, Michael Papamichael, Onur Mutlu, Mor H...
SBCCI
2003
ACM
129views VLSI» more  SBCCI 2003»
16 years 2 hour ago
Hyperspectral Images Clustering on Reconfigurable Hardware Using the K-Means Algorithm
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
Abel Guilhermino S. Filho, Alejandro César ...