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LCTRTS
2000
Springer
14 years 1 months ago
Reordering Memory Bus Transactions for Reduced Power Consumption
Low energy consumption is becoming the primary design consideration for battery-operated and portable embedded systems, such as personal digital assistants, digital still and movi...
Bruce R. Childers, Tarun Nakra
VLSID
2009
IEEE
96views VLSI» more  VLSID 2009»
14 years 11 months ago
Efficient Placement of Compressed Code for Parallel Decompression
Code compression is important in embedded systems design since it reduces the code size (memory requirement) and thereby improves overall area, power and performance. Existing res...
Xiaoke Qin, Prabhat Mishra
GLVLSI
2008
IEEE
169views VLSI» more  GLVLSI 2008»
13 years 10 months ago
Simultaneous optimization of memory configuration and code allocation for low power embedded systems
This paper proposes a hybrid memory architecture which consists of the following two regions; 1) a dynamic power conscious region which uses low Vdd and Vth and 2) a static power ...
Tadayuki Matsumura, Tohru Ishihara, Hiroto Yasuura
DATE
2005
IEEE
171views Hardware» more  DATE 2005»
14 years 4 months ago
Access Pattern-Based Code Compression for Memory-Constrained Embedded Systems
As compared to a large spectrum of performance optimizations, relatively little effort has been dedicated to optimize other aspects of embedded applications such as memory space r...
Ozcan Ozturk, Hendra Saputra, Mahmut T. Kandemir, ...
CODES
2005
IEEE
14 years 4 months ago
CRAMES: compressed RAM for embedded systems
Memory is a scarce resource in many embedded systems. Increasing memory often increases packaging and cooling costs, size, and energy consumption. This paper presents CRAMES, an e...
Lei Yang, Robert P. Dick, Haris Lekatsas, Srimat T...