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PLDI
1996
ACM
15 years 1 months ago
A Reduced Multipipeline Machine Description that Preserves Scheduling Constraints
High performance compilers increasingly rely on accurate modeling of the machine resources to efficiently exploit the instruction level parallelism of an application. In this pape...
Alexandre E. Eichenberger, Edward S. Davidson
ICDCSW
2003
IEEE
15 years 2 months ago
Optimal Transmission Radius for Flooding in Large Scale Sensor Networks
—One of the principal characteristics of large scale wireless sensor networks is their distributed, multi-hop nature. Due to this characteristic, applications such as query propa...
Marco Zuniga, Bhaskar Krishnamachari
CP
2004
Springer
15 years 2 months ago
A Hybrid Method for Planning and Scheduling
We combine mixed integer linear programming (MILP) and constraint programming (CP) to solve planning and scheduling problems. Tasks are allocated to facilities using MILP and sche...
John N. Hooker
CIKM
2009
Springer
15 years 4 months ago
Packing the most onto your cloud
Parallel dataflow programming frameworks such as Map-Reduce are increasingly being used for large scale data analysis on computing clouds. It is therefore becoming important to a...
Ashraf Aboulnaga, Ziyu Wang, Zi Ye Zhang
IOR
2007
106views more  IOR 2007»
14 years 9 months ago
Planning and Scheduling by Logic-Based Benders Decomposition
We combine mixed integer linear programming (MILP) and constraint programming (CP) to solve an important class of planning and scheduling problems. Tasks are allocated to faciliti...
John N. Hooker