DocumentCode :
392833
Title :
Predicate-aware scheduling: a technique for reducing resource constraints
Author :
Smelyanskiy, Mikhail ; Mahlke, Scott A. ; Davidson, Edward S. ; Lee, Hsien-Hsin S.
Author_Institution :
Adv. Comput. Archit. Lab., Michigan Univ., Ann Arbor, MI, USA
fYear :
2003
fDate :
23-26 March 2003
Firstpage :
169
Lastpage :
178
Abstract :
Predicated execution enables the removal of branches wherein segments of branching code are converted into straight-line segments of conditional operations. An important, but generally ignored side effect of this transformation is that the compiler must assign distinct resources to all the predicated operations at a given time to ensure that those resources are available at run-time. However, a resource is only put to productive use when the predicates associated with its operations evaluate to True. We propose predicate-aware scheduling to reduce the superfluous commitment of resources to operations whose predicates evaluate to False at run-time. The central idea is to assign multiple operations to the same resource at the same time, thereby oversubscribing its use. This assignment is intelligently performed to ensure that no two operations simultaneously assigned to the same resource will have both of their predicates evaluate to True. Thus, no resource is dynamically oversubscribed. The overall effect of predicate aware scheduling is to use resources more efficiently, thereby increasing performance when resource constraints are a bottleneck.
Keywords :
parallel programming; pipeline processing; processor scheduling; program compilers; branch removal; compiler; conditional operations; multiple operation assignment; predicate-aware scheduling; predicated execution; resource constraint reduction; straight-line segments; Computer architecture; Laboratories; Parallel processing; Performance evaluation; Pipeline processing; Processor scheduling; Registers; Resource management; Runtime; VLIW;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Code Generation and Optimization, 2003. CGO 2003. International Symposium on
Print_ISBN :
0-7695-1913-X
Type :
conf
DOI :
10.1109/CGO.2003.1191543
Filename :
1191543
Link To Document :
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