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» Scheduling Algorithms for Procrastinators
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166
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IPPS
2000
IEEE
15 years 11 months ago
Reduction Optimization in Heterogeneous Cluster Environments
Network of workstation (NOW) is a cost-effective alternative to massively parallel supercomputers. As commercially available off-the-shelf processors become cheaper and faster, ...
Pangfeng Liu, Da-Wei Wang
166
Voted
CN
2008
109views more  CN 2008»
15 years 6 months ago
CoCONet: A collision-free container-based core optical network
Electrical-to-optical domain conversions and vice versa (denoted by O/E/O conversions) for each hop in optical core transport networks impose considerable capital and financial ov...
Amin R. Mazloom, Preetam Ghosh, Kalyan Basu, Sajal...
174
Voted
ICML
2001
IEEE
16 years 7 months ago
Continuous-Time Hierarchical Reinforcement Learning
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
Mohammad Ghavamzadeh, Sridhar Mahadevan
ICCD
2008
IEEE
133views Hardware» more  ICCD 2008»
16 years 3 months ago
Reliability-aware Dynamic Voltage Scaling for energy-constrained real-time embedded systems
— The Dynamic Voltage Scaling (DVS) technique is the basis of numerous state-of-the-art energy management schemes proposed for real-time embedded systems. However, recent researc...
Baoxian Zhao, Hakan Aydin, Dakai Zhu
183
Voted
ICPP
2009
IEEE
16 years 1 months ago
Optimizing the Latency of Streaming Applications under Throughput and Reliability Constraints
In this paper, we deal with the problem of scheduling streaming applications on unreliable heterogeneous platforms. We use the realistic one-port model with full computation/commu...
Anne Benoit, Mourad Hakem, Yves Robert