Title :
Efficient scheduling and instruction selection for programmable digital signal processors
Author :
Yu, Kin H. ; Hu, Yu Hen
Author_Institution :
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
fDate :
12/1/1994 12:00:00 AM
Abstract :
We present an efficient method for optimized instruction selection and scheduling for programmable digital signal processors. Our approach uses artificial intelligence techniques to yield code that is comparable to that of hand-written assembly codes by DSP experts. Several examples which demonstrate the feasibility of the approach, targeted to the TMS32020/50 architecture, are presented
Keywords :
computer aided software engineering; digital signal processing chips; knowledge based systems; processor scheduling; program compilers; telecommunication computing; DSP; TMS32020/50 architecture; artificial intelligence; code; optimized instruction selection; optimized scheduling; programmable digital signal processors; Artificial intelligence; Assembly; Computer architecture; Cost function; Digital signal processing; Digital signal processors; Optimization methods; Processor scheduling; Signal design; Software design;
Journal_Title :
Signal Processing, IEEE Transactions on
