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» Scheduling techniques for media-on-demand
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94
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ICSE
2009
IEEE-ACM
15 years 8 months ago
Deployment automation with BLITZ
Minimizing the computing infrastructure (such as processors) in a distributed real-time embedded (DRE) system deployment helps reduce system size, weight, power consumption, and c...
Brian Dougherty, Jules White, Jaiganesh Balasubram...
109
Voted
DATE
2009
IEEE
155views Hardware» more  DATE 2009»
15 years 7 months ago
Dynamic thermal management in 3D multicore architectures
— Technology scaling has caused the feature sizes to shrink continuously, whereas interconnects, unlike transistors, have not followed the same trend. Designing 3D stack architec...
Ayse Kivilcim Coskun, José L. Ayala, David ...
115
Voted
INFOCOM
2008
IEEE
15 years 7 months ago
On the Throughput Capacity of Opportunistic Multicasting with Erasure Codes
— In this paper, we concentrate on opportunistic scheduling for multicast information. We pose the problem as a multicast throughput optimization problem. As a solution we presen...
Ulas C. Kozat
127
Voted
WETICE
2005
IEEE
15 years 6 months ago
Data access optimization on grid systems
— The execution of data intensive grid applications still raises several questions regarding job scheduling, data migration and replication. The optimization techniques applied b...
László Csaba Lorincz, Tamás K...
94
Voted
LCTRTS
2004
Springer
15 years 6 months ago
Generating fast code from concurrent program dependence graphs
While concurrency in embedded systems is most often supplied by real-time operating systems, this approach can be unpredictable and difficult to debug. Synchronous concurrency, i...
Jia Zeng, Cristian Soviani, Stephen A. Edwards