DocumentCode :
806655
Title :
Compile-time scheduling and assignment of data-flow program graphs with data-dependent iteration
Author :
Ha, Soonhoi ; Lee, Edward A.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
Volume :
40
Issue :
11
fYear :
1991
fDate :
11/1/1991 12:00:00 AM
Firstpage :
1225
Lastpage :
1238
Abstract :
Four scheduling strategies for dataflow graphs onto parallel processors are classified: (1) fully dynamic, (2) static-assignment, (3) self-timed, and (4) fully static. Scheduling techniques valid for strategies (2), (3), and (4) are proposed. The focus is on dataflow graphs representing data-dependent iteration. A known probability mass function for the number of cycles in the data-dependent iteration is assumed, and how a compile-time decision about assignment and/or ordering as well as timing can be made is shown. The criterion used is to minimize the expected total idle time caused by the iteration. In certain cases, this will also minimize the expected makespan of the schedule. How to determine the number of processors that should be assigned to the data-dependent iteration is shown. The method is illustrated with a practical programming example
Keywords :
parallel programming; program compilers; program processors; scheduling; assignment; compile time scheduling; data-dependent iteration; data-flow program graphs; fully dynamic; fully static; idle time; parallel processors; probability mass function; programming; self-timed; static-assignment; Automatic programming; Circuits; Costs; Dynamic scheduling; Fires; Load management; Processor scheduling; Program processors; Runtime; Timing;
fLanguage :
English
Journal_Title :
Computers, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9340
Type :
jour
DOI :
10.1109/12.102826
Filename :
102826
Link To Document :
بازگشت