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» Code Compression for Embedded Systems
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99
Voted
ISSS
1996
IEEE
125views Hardware» more  ISSS 1996»
15 years 2 months ago
Size-Constrained Code Placement for Cache Miss Rate Reduction
In design of an embedded system with a cache, it is important to minimize the cache miss rate to reduce the power consumption as well as to improvethe performance of the system. W...
Hiroyuki Tomiyama, Hiroto Yasuura
82
Voted
CODES
2004
IEEE
15 years 1 months ago
CPU scheduling for statistically-assured real-time performance and improved energy efficiency
We present a CPU scheduling algorithm, called Energy-efficient Utility Accrual Algorithm (or EUA), for battery-powered, embedded real-time systems. We consider an embedded softwar...
Haisang Wu, Binoy Ravindran, E. Douglas Jensen, Pe...
102
Voted
RSP
2005
IEEE
107views Control Systems» more  RSP 2005»
15 years 3 months ago
Rapid Prototyping of Embedded Software Using Selective Formalism
Our software synthesis tool, CSP++, generates C++ source code from verifiable CSPm specifications, and includes a framework for runtime execution. Our technique of selective for...
John D. Carter, Ming Xu, William B. Gardner
99
Voted
ICPADS
2005
IEEE
15 years 3 months ago
A Hierarchical Approach for Energy-Aware Distributed Embedded Intelligent Video Surveillance
Intelligent video surveillance (IVS) offers a large spectrum of different applications that have strict requirements on quality of service (QoS) and energy-efficiency. Recent emb...
Arnold Maier, Bernhard Rinner, Helmut Schwabach
ITCC
2003
IEEE
15 years 3 months ago
Dictionary-Based Fast Transform for Text Compression
In this paper we present StarNT, a dictionary-based fast lossless text transform algorithm. With a static generic dictionary, StarNT achieves a superior compression ratio than alm...
Weifeng Sun, Nan Zhang 0005, Amar Mukherjee