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» Predicting locality phases for dynamic memory optimization
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110
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CDC
2008
IEEE
144views Control Systems» more  CDC 2008»
15 years 10 months ago
Decentralized predictive sensor allocation
Abstract— We present a method of dynamic coalition formation (DCF) in sensor networks to achieve well-informed sensor-target allocations. Forecasts of target movements are incorp...
Mark Ebden, Mark Briers, Stephen Roberts
127
Voted
MICRO
1997
IEEE
128views Hardware» more  MICRO 1997»
15 years 7 months ago
Run-Time Spatial Locality Detection and Optimization
As the disparity between processor and main memory performance grows, the number of execution cycles spent waiting for memory accesses to complete also increases. As a result, lat...
Teresa L. Johnson, Matthew C. Merten, Wen-mei W. H...
179
Voted
CODES
2004
IEEE
15 years 7 months ago
Dynamic overlay of scratchpad memory for energy minimization
The memory subsystem accounts for a significant portion of the aggregate energy budget of contemporary embedded systems. Moreover, there exists a large potential for optimizing th...
Manish Verma, Lars Wehmeyer, Peter Marwedel
167
Voted
TSP
2010
14 years 10 months ago
Optimization and analysis of distributed averaging with short node memory
Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
146
Voted
ISCAS
1999
IEEE
132views Hardware» more  ISCAS 1999»
15 years 8 months ago
Dynamic trellis diagrams for optimized DSP code generation
In this paper, we present the application of dynamic trellis diagrams (DTDs) to automatic translation of data flow graphs (DFGs) into highly optimized programs for digital signal ...
Stefan Fröhlich, Martin Gotschlich, Udo Krebe...