DocumentCode
3243581
Title
Power analysis of a programmable DSP for architecture/program optimization
Author
Kojima, H. ; Gorny, D.J. ; Nitta, K. ; Sasaki, K.
Author_Institution
Div. of Res. & Dev., Hitachi America Ltd., San Jose, CA, USA
fYear
1995
fDate
9-11 Oct. 1995
Firstpage
26
Lastpage
27
Abstract
Power consumption has become one of the primary metrics in CMOS LSI design. A high level power estimation model will be indispensable to evaluate architectures and programming styles for performance and power consumption optimization. A model was proposed in which a constant energy was used for every module but data dependency was not taken into account. The purpose of this paper is to quantify the module break down and the data dependency of the power consumption and to find a key for high level power estimation. We analyzed power consumption of a 24 bit fixed point DSP, HX24, which we developed previously. We have found that the buses do not consume as much power as we originally expected while the data operation modules consume much power and the data dependency caused about 30% variation in worst case chip power. This is the first paper that describes how large the data dependency of data operation is and how low the bus power consumption is in a DSP of an extended Harvard architecture.
Keywords
CMOS digital integrated circuits; circuit analysis computing; circuit optimisation; digital signal processing chips; large scale integration; CMOS LSI design; architecture optimization; bus power consumption; constant energy; data dependency; extended Harvard architecture; fixed point DSP; high level power estimation model; power analysis; power consumption optimization; program optimization; programmable DSP chip; Analytical models; Capacitance; Circuit simulation; Clocks; Data buses; Digital signal processing; Digital signal processing chips; Energy consumption; Semiconductor device modeling; Switches;
fLanguage
English
Publisher
ieee
Conference_Titel
Low Power Electronics, 1995., IEEE Symposium on
Conference_Location
San Jose, CA, USA
Print_ISBN
0-7803-3036-6
Type
conf
DOI
10.1109/LPE.1995.485383
Filename
485383
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