On the Complexity of Scheduling MIMD Operations for SIMD Interpretation

Programming SIMD hardware to interpret (in parallel) programs and data resident in each PE is a technique for obtaining a cost-effective massively parallel MIMD processing environment. The performance of the synthesized MIMD environment can be greatly improved by with a variable instruction interpre...

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Published in:Journal of parallel and distributed computing Vol. 29; no. 1; pp. 91 - 95
Main Authors: Fan, X.Z., Abughazaleh, N.B., Wilsey, P.A.
Format: Journal Article
Language:English
Published: San Diego, CA Elsevier Inc 15.08.1995
Elsevier
Subjects:
Algorithmics. Computability. Computer arithmetics
Applied sciences
Computer science; control theory; systems
Electronics
Exact sciences and technology
Hardware
Software
Software engineering
Theoretical computing
Interpreter
Programming environment
SIMD computer
Programming
Scheduling
Interpretation
Optimization
Complexity
Parallel program
Parallel processing
NP complete problem
Hardware
MIMD computer
ISSN:0743-7315, 1096-0848
Online Access:Get full text
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Abstract Programming SIMD hardware to interpret (in parallel) programs and data resident in each PE is a technique for obtaining a cost-effective massively parallel MIMD processing environment. The performance of the synthesized MIMD environment can be greatly improved by with a variable instruction interpreter that delays the interpretation of infrequent operations. In this paper, the process of building a variable instruction interpreter that optimizes an objective function is examined. Two different objective functions are considered, namely, maximizing the total instruction throughput (called Maximal MIMD Instruction Throughput, MMIT) and maximizing overall PE utilization (called Maximal MIMD PE Utilization, MMPU). We show that the decision version of both the MMIT and MMPU problems is NP-complete.
AbstractList Programming SIMD hardware to interpret (in parallel) programs and data resident in each PE is a technique for obtaining a cost-effective massively parallel MIMD processing environment. The performance of the synthesized MIMD environment can be greatly improved by with a variable instruction interpreter that delays the interpretation of infrequent operations. In this paper, the process of building a variable instruction interpreter that optimizes an objective function is examined. Two different objective functions are considered, namely, maximizing the total instruction throughput (called Maximal MIMD Instruction Throughput, MMIT) and maximizing overall PE utilization (called Maximal MIMD PE Utilization, MMPU). We show that the decision version of both the MMIT and MMPU problems is NP-complete.
Author Wilsey, P.A.
Abughazaleh, N.B.
Fan, X.Z.
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Issue 1
Keywords Interpreter
Programming environment
SIMD computer
Programming
Scheduling
Interpretation
Optimization
Complexity
Parallel program
Parallel processing
NP complete problem
Hardware
MIMD computer
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Snippet Programming SIMD hardware to interpret (in parallel) programs and data resident in each PE is a technique for obtaining a cost-effective massively parallel...
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StartPage 91
SubjectTerms Algorithmics. Computability. Computer arithmetics
Applied sciences
Computer science; control theory; systems
Electronics
Exact sciences and technology
Hardware
Software
Software engineering
Theoretical computing
Title On the Complexity of Scheduling MIMD Operations for SIMD Interpretation
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