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NSDI
2010
13 years 8 months ago
Hedera: Dynamic Flow Scheduling for Data Center Networks
Today's data centers offer tremendous aggregate bandwidth to clusters of tens of thousands of machines. However, because of limited port densities in even the highest-end swi...
Mohammad Al-Fares, Sivasankar Radhakrishnan, Barat...
COMSWARE
2006
IEEE
14 years 1 months ago
Exploiting multi-channel clustering for power efficiency in sensor networks
Sensor networks typically comprise of a number of inexpensive small devices with processing, communication and sensing abilities that collaborate to perform a common task. Sensor d...
Ashima Gupta, Chao Gui, Prasant Mohapatra
DICS
2006
13 years 11 months ago
Fault-Tolerant Parallel Applications with Dynamic Parallel Schedules: A Programmer's Perspective
Dynamic Parallel Schedules (DPS) is a flow graph based framework for developing parallel applications on clusters of workstations. The DPS flow graph execution model enables automa...
Sebastian Gerlach, Basile Schaeli, Roger D. Hersch
CCGRID
2006
IEEE
14 years 1 months ago
QoS Oriented Resource Reservation in Shared Environments
Resource sharing across different computers and organizations makes it possible to support diverse, dynamic changing resource requirements of distributed applications. Reservation...
Ming Wu, Xian-He Sun, Yong Chen
NIPS
2000
13 years 8 months ago
A Silicon Primitive for Competitive Learning
Competitive learning is a technique for training classification and clustering networks. We have designed and fabricated an 11transistor primitive, that we term an automaximizing ...
David Hsu, Miguel Figueroa, Chris Diorio