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ICRA
1998
IEEE
142views Robotics» more  ICRA 1998»
14 years 2 months ago
Lagrangian Relaxation Neural Networks for Job Shop Scheduling
Abstract--Manufacturing scheduling is an important but difficult task. In order to effectively solve such combinatorial optimization problems, this paper presents a novel Lagrangia...
Peter B. Luh, Xing Zhao, Yajun Wang
DAC
2010
ACM
14 years 1 months ago
Performance yield-driven task allocation and scheduling for MPSoCs under process variation
With the ever-increasing transistor variability in CMOS technology, it is essential to integrate variation-aware performance analysis into the task allocation and scheduling proce...
Lin Huang, Qiang Xu
CASES
2001
ACM
14 years 1 months ago
Combined partitioning and data padding for scheduling multiple loop nests
With the widening performance gap between processors and main memory, efficient memory accessing behavior is necessary for good program performance. Loop partition is an effective...
Zhong Wang, Edwin Hsing-Mean Sha, Xiaobo Hu
SPAA
1995
ACM
14 years 1 months ago
Provably Efficient Scheduling for Languages with Fine-Grained Parallelism
Many high-level parallel programming languages allow for fine-grained parallelism. As in the popular work-time framework for parallel algorithm design, programs written in such lan...
Guy E. Blelloch, Phillip B. Gibbons, Yossi Matias
BTW
2009
Springer
118views Database» more  BTW 2009»
14 years 1 months ago
Multi-Objective Scheduling for Real-Time Data Warehouses
: The issue of write-read contention is one of the most prevalent problems when deploying real-time data warehouses. With increasing load, updates are increasingly delayed and prev...
Maik Thiele, Andreas Bader, Wolfgang Lehner