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Title: Macro-actor execution on multilevel data-driven architectures

Conference ·
OSTI ID:10191989
 [1];  [2]
  1. University of Southern California, Los Angeles, CA (United States). Computer Research Inst.
  2. University of Southern California, Marina Del Rey, CA (United States). Information Sciences Inst.

The data-flow model of computation brings to multiprocessors high programmability at the expense of increased overhead. Applying the model at a higher level leads to better performance but also introduces loss of parallelism. We demonstrate here syntax directed program decomposition methods for the creation of large macro-actors in numerical algorithms. In order to alleviate some of the problems introduced by the lower resolution interpretation, we describe a multi-level of resolution and analyze the requirements for its actual hardware and software integration.

Research Organization:
University of Southern California, Los Angeles, CA (United States). Computer Research Inst.
Sponsoring Organization:
USDOE, Washington, DC (United States); Department of Defense, Washington, DC (United States)
DOE Contract Number:
FG03-87ER25043
OSTI ID:
10191989
Report Number(s):
CONF-8804338-1; ON: DE94000318; CNN: Contract N00014-86-K-0311
Resource Relation:
Conference: 1. Italian workshop on parallel architectures and neural networks,Salerno (Italy),27-29 Apr 1988; Other Information: PBD: [1988]
Country of Publication:
United States
Language:
English