Title :
Instruction code mapping for performance increase and energy reduction in embedded computer systems
Author :
Parameswaran, Sri ; Henkel, Jörg
Author_Institution :
Sch. of Comput. Sci. & Eng., Univ. of New South Wales, Sydney, NSW, Australia
fDate :
4/1/2005 12:00:00 AM
Abstract :
In this paper, we present a novel and fast constructive technique that relocates the instruction code in such a manner into the main memory that the cache is utilized more efficiently. The technique is applied as a preprocessing step, i.e., before the code is executed. Our technique is applicable in embedded systems where the number and characteristics of tasks running on the system is known a priori. The technique does not impose any computational overhead to the system. As a result of applying our technique to a variety of real-world applications we observed through simulation a significant drop of cache misses. Furthermore, the energy consumption of the whole system (CPU, caches, buses, main memory) is reduced by up to 65%. These benefits could be achieved by a slightly increased main memory size of about 13% on average.
Keywords :
cache storage; codes; embedded systems; instruction sets; low-power electronics; cache memories; cache misses; embedded computer systems; energy consumption; energy reduction; instruction code mapping; memory size; preprocessing step; Computational modeling; Computer aided instruction; Computer architecture; Embedded computing; Embedded system; Energy conservation; Energy consumption; Mobile computing; Potential energy; System-on-a-chip; Cache memories; energy conservation; low power;
Journal_Title :
Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
DOI :
10.1109/TVLSI.2004.842936